Tesi sul tema "Logistic networks"
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1
Pearce, Kim Frances. "Robust logistic discrimination". Thesis, University of Newcastle Upon Tyne, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.294687.
2
Battini, Daria. "Dynamic modeling of networks and logistic complex systems". Doctoral thesis, Università degli studi di Padova, 2008. http://hdl.handle.net/11577/3426267.
Abstract (sommario):
Modern supply chains usually provide very complex inter- correlations between various actors: suppliers, manufacturers, distributors, customers, etc. Such inter-correlations are not only based on material flows but also on data and financial flows.
Discussions about alternatives for traditional goods and services distribution in the company are becoming more frequent, as the constantly increasing demands and requirements of the market put pressure on suppliers and manufacturers logistics. Therefore, this need is emphasized by the growing of industrial systems complexity and its indirect and drown costs, increasing day by day.
The terms Supply Network and Business Web are now interchangeable in the way they are used to summarise flow in supply chains (Tapscott, 2000).
Distribution Webs and Supply Networks are urgently demanding new effective management strategies to preserve competitiveness, increase organization and control the complexity level increment.
This dissertation touches upon the fundamental theories of Distribution Network Optimization and Supply Network Complexity Analysis, it proposes new techniques to characterize peculiar Supply Network aspects and underline the importance of adequate systemic approaches and software support in the development of this particular discipline.
This work has four main goals:
1. Show how Goods Delivery Distribution Optimization is feasible and critical to creates efficient networks
2. Investigate how the issue of Distribution Network Design is crucial in order to increase efficiency and competitiveness
3. Assess the performance of new algorithms for industrial network complexity control and computation;
4. Develop new quantitative measurements of complexity for supply networks based on Network Analysis, which is often used to study natural ecosystems, focusing in particular on the concept of entropy of information (derived by Shannon, 1948).
All these accomplishment are associated with appropriate software applications.
The dissertation is divided in three Parts (1. Theoretical framework, 2. New network analysis methodologies development, 3. Three published papers collection).
This work, conducted with a profitable interdisciplinary collaboration with the Department of Ecology and Evolutionary Biology at Michigan University (Ann Arbour), is devoted to investigate alternatives for goods distribution in Supply Networks and develop advances in both theories on Supply Network Design problem and on its application to industrial contexts.
The new interdisciplinary approaches developed exploit new performances indexes to map the exchange of goods and information between different actors in a complex supply chain and show how Network Analysis and systemic approaches are relevant tools in providing a new perspective in defining supply network organization and complexity.
3
RUSICH, ANDREA. "Collaborative Logistics Networks". Doctoral thesis, Università degli Studi di Trieste, 2017. http://hdl.handle.net/11368/2908186.
Abstract (sommario):
The logistics and transportation sectors play a vital role in modern economies, representing countries competitiveness enhancement opportunities and, in the meantime, imposing significant social and environmental challenges. In 2015, logistics and transportation costs accounted to 7.85% and 9-10% of United States and European Union GDPs, respectively. In the same year, these industries contributed for the 5.5% to global GHG emissions. These results derive as from new market trends and requirements emergence (e.g., urbanization, e-commerce, etc.) as from logistics and transportation systems \complex" nature (e.g., multiple actors with different goals, uncertainty, etc.).
To face the mentioned issues, reorganisations of current logistics and transportation systems have still to be studied, planned, tested and evaluated. In recent years, the “City Logistics" and the “Physical Internet" theoretical frameworks, focusing on urban and inter-urban environments respectively, have been gaining momentum between researchers and practitioners. Nevertheless, real implementations of such paradigms are still far to be deployed: indeed, innovative collaborative logistics business and organisational models as well as technological enablers supporting a successful execution of logistics and transport activities are still missing. With these premises, the general goal of this work is to contribute to the understanding of collaborative logistics, focusing on emerging business and organizational models such as the Physical Internet. To this aim, the present research addresses three major aspects. First, the problem is tackled from a conceptual point of view: indeed, since the current collaborative logistics types classification (i.e., the “classic" vertical, horizontal and diagonal ones) is missing a concept to emphasise the emergence of “innovative" models characterized by a simultaneous application of multiple classical approaches, a new collaborative logistics type called “interconnected" is coined. Second, in order to fill the scientific literature gap represented by the absence of a harmonised methodology to analyse collaborative logistics management implications, a taxonomy for scientific contributions classification and future research areas identification is proposed. Finally, starting from the results of the theoretical analysis, a practical application is derived. In particular, the ICT and decision technologies innovation gaps is addressed by presenting a general procedure for cloud-based collaborative logistics platforms design, deployment and preliminary performance evaluation.
4
Javed, Kamran. "ZigBee suitability for Wireless Sensor Networks in Logistic Telemetry Applications". Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-254.
Abstract (sommario):
There has been a quick development in the wireless network area during the last decade. Mostly
these days the focus in the wireless area is on very high speed and long range applications. This
thesis describes how ZigBee is suitable for wireless sensor networks in logistic telemetry
applications for global managing and monitoring of goods. ZigBee has been developed by the
organization named as ‘ZigBee Alliance’ as a new wireless standard for the wireless solutions
based upon the IEEE 802.15.4 Standard [2]. ZigBee is a new technology as compared to the other
wireless technologies such as Bluetooth, but it has certain characteristics such as low cost, low
power, support for mesh networking e.t.c which makes its chances to be more successful than
others.
The other aim of this thesis is to examine different issues related to ZigBee to see its fitness for
logistic telemetry applications like multi-hop routing issues, routing strategies and design
requirements. ZigBee is relatively new wireless technology, so there are great deals of promises
associated with it. In this thesis, a comparison between ZigBee and Bluetooth technologies will
also be made.
5
VENKATARAMAN, AARTI. "COMPARISON OF NEURAL NETWORK AND LOGISTIC REGRESSION MODELS TO PREDICT MEDICAL OUTCOME". University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1097000476.
6
Branski, Regina Meyer. "O papel da Tecnologia da Informação no processo logístico: estudo de casos com operadores logísticos". Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/3/3136/tde-01102008-144646/.
Abstract (sommario):
O conceito de logística vem, ao longo do tempo, agregando novos elementos e tornando-se mais complexo. Nos anos 50 restringia-se à distribuição física. Atualmente engloba a totalidade dos fluxos de material, produtos e informação entre diferentes empresas da cadeia de suprimentos. Neste contexto, organizações dos mais variados segmentos vêm terceirizando suas operações logísticas para empresas especializadas denominadas operadores logísticos. As tecnologias de informação (TI) têm um importante papel no desenvolvimento das atividades logísticas e no desempenho dos operadores: suas aplicações permitem a otimização do sistema logístico e o gerenciamento de forma integrada de seus diversos componentes. O objetivo da pesquisa é investigar como a TI vem sendo utilizada pelos operadores nos processos logísticos e como vem contribuindo para o estabelecimento de redes de valor. A metodologia utilizada foi o estudo de casos múltiplos. Foram investigados cinco operadores logísticos com atuação no mercado brasileiro, com diferentes posicionamentos estratégicos, operando em diferentes setores e de modo a cobrir de forma integral o processo logístico. Os resultados da pesquisa indicaram a necessidade do desenvolvimento de aplicativos customizados, capazes de atender as particularidades de cada operador e de gerar vantagens competitivas, e apontaram a importância do papel da TI para o estabelecimento das redes de valor.The logistics concept has been changing, adding new elements and becoming more complex. In the fifties it was restricted to physical distribution only. Nowadays, it embraces the total flow of materials, products and information between the different companies of a supply chain. In this new scenario, organizations in all industries have outsourced their logistics operations to specialized companies called logistics operators. Information technologies (IT) have an important role in the development of logistics activities and in the logistics operator\'s performance: IT applications allow an optimal tuning of the logistics system and an integrated management of its several components. The purpose of this research is to investigate how the logistics operators are applying IT in the logistics process and how IT is contributing to the establishment of value networks. The methodology utilized was the multiple cases study. Five logistic operators that feature different strategic positions and operate with different industries in the Brazilian market were investigated. The sample was chosen so as to provide the information needed for an analysis of all stages of the logistic process. The results of the research indicate that customized applications, suited to the particularities of each operator, play an important role in the creation of competitive advantages, and suggest the centrality of IT in the creation of value networks.
7
Yuzbasioglu, Asim. "An empirical analysis of takeover predictions in the UK : application of artificial neural networks and logistic regression". Thesis, University of Plymouth, 2002. http://hdl.handle.net/10026.1/2219.
Abstract (sommario):
This study undertakes an empirical analysis of takeover predictions in the UK. The objectives of this research are twofold. First, whether it is possible to predict or identify takeover targets before they receive any takeover bid. Second, to test whether it is possible to improve prediction outcome by extending firm specific characteristics such as corporate governance variables as well as employing a different technique that has started becoming an established analytical tool by its extensive application in corporate finance field. In order to test the first objective, Logistic Regression (LR) and Artificial Neural Networks (ANNs) have been applied as modelling techniques for predicting target companies in the UK. Hence by applying ANNs in takeover predictions, their prediction ability in target classification is tested and results are compared to the LR results. For the second objective, in addition to the company financial variables, non-financial characteristics, corporate governance characteristics, of companies are employed. For the fist time, ANNs are applied to corporate governance variables in takeover prediction purposes. In the final section, two groups of variables are combined to test whether the previous outcomes of financial and non-financial variables could be improved. However the results suggest that predicting takeovers, by employing publicly available information that is already reflected in the share price of the companies, is not likely at least by employing current techniques of LR and ANNs. These results are consistent with the semi-strong form of the efficient market hypothesis.
8
Strandberg, Rickard, e Johan Låås. "A comparison between Neural networks, Lasso regularized Logistic regression, and Gradient boosted trees in modeling binary sales". Thesis, KTH, Optimeringslära och systemteori, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252556.
Abstract (sommario):
The primary purpose of this thesis is to predict whether or not a customer will make a purchase from a specific item category. The historical data is provided by the Nordic online-based IT-retailer Dustin. The secondary purpose is to evaluate how well a fully connected feed forward neural network performs as compared to Lasso regularized logistic regression and gradient boosted trees (XGBoost) on this task. This thesis finds XGBoost to be superior to the two other methods in terms of prediction accuracy, as well as speed.Det primära syftet med denna uppsats är att förutsäga huruvida en kund kommer köpa en specifik produkt eller ej. Den historiska datan tillhandahålls av den Nordiska internet-baserade IT-försäljaren Dustin. Det sekundära syftet med uppsatsen är att evaluera hur väl ett djupt neuralt nätverk presterar jämfört med Lasso regulariserad logistisk regression och gradient boostade träd (GXBoost). Denna uppsats fann att XGBoost presterade bättre än de två andra metoderna i såväl träffsäkerhet, som i hastighet.
9
Fajkus, Petr. "Návrh logistické strategie v rámci obchodních řetězců". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2008. http://www.nusl.cz/ntk/nusl-221981.
10
Doig, Gordon S. "Severity of illness scoring in the intensive care unit, a comparison of logistic regression and artificial neural networks". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0014/NQ42512.pdf.
11
Ahmad, Abd-Razak. "Modelling corporate failure with financial and 'event' information : an empirical study using logistic regression and artificial neural networks". Thesis, University of Leeds, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.422086.
12
Otten, Sonja [Verfasser], e Hans [Akademischer Betreuer] Daduna. "Integrated Models for Performance Analysis and Optimization of Queueing-Inventory-Systems in Logistic Networks / Sonja Otten ; Betreuer: Hans Daduna". Hamburg : Staats- und Universitätsbibliothek Hamburg, 2018. http://d-nb.info/1158899947/34.
13
Yang, Jidong. "Road crack condition performance modeling using recurrent Markov chains and artificial neural networks". [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000567.
14
Pike, Adam Clellon. "ASSESSMENT OF TERRAIN ATTRIBUTE MODELS FOR THE IDENTIFICATION OF EROSION PRONE AREAS SUITABLE FOR THE ESTABLISHMENT OF GRASSED WATERWAYS IN AN AGRICULTURAL FIELD SETTING IN THE OUT BLUEGRASS REGION OF KENTUCKY". UKnowledge, 2008. http://uknowledge.uky.edu/gradschool_theses/544.
Abstract (sommario):
The speed and accuracy of conservation planning could be improved if maps indicating areas where grassed waterways should be placed to reduce erosion could be easily created. For five central Kentucky fields, elevation data were obtained with real time kinematic (RTK) global positioning system (GPS) and from US Geological Survey (USGS) digital elevation models (DEMs). Terrain attributes were calculated from these datasets which were used as predictor variables for neural network and logistic regression analyses. Grassed waterway prediction models were developed with these analyses. The type of activation function, type of standardization procedure, number of neurons, number of preliminary runs, and number of hidden layers had little impact on the results of the neural network analysis. Logistic regression and neural network analyses produced similar erosion prediction maps. The type of flow direction algorithm used to calculate terrain attributes did not change prediction maps substantially. Grassed waterways could be predicted in most cases with the RTK data but only in some cases with the USGS data. This modeling approach was robust and could aid conservation planners in identifying suitable areas for waterways more efficiently if accurate elevation data can be acquired.
15
Jiang, Wenxuan. "A Diagnostic Tool for the Causes of Packet Corruption in Wireless Sensor Networks". Thesis, Mittuniversitetet, Avdelningen för informations- och kommunikationssystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-26268.
Abstract (sommario):
The two main causes of packet corruption in wireless sensor network are multipath fading and WiFi interference. Identifying the cause of the corruption can be used to improve the reliability of the transmission. If the corruption is caused by WiFi interference, the network could change the channel to a free one. If it is caused by multipath fading, the network could reroute the traffic away from the obstacles or shorten the distance. This project proposes a new method of corruption-causes-identification for the two causes mentioned. It is an immediate online diagnostic tool for IEEE 802.15.4 packets with a retransmission mechanism. It provides a statistical boundary with a processed deviation of RSSI value and the frame symbol error rate, and also a rechecking mechanism to check the decisions. In this model, the deviation of RSSI value is measured by the estimated RSSI value of correct packets and the current detected RSSI value. The benefit of the deviation design is that the statistical model hardly needs to retrain and correct the parameters in different transmission environments. The project also discusses two rechecking mechanism methods, one employs an individual secondary classification with its own characters; the other combines the neighbor packets' features to smooththe probable errors. To investigate the performance of the "frame symbol errorrate and deviation of RSSI values"-based diagnostic tool, the evaluation parts provide a comparison of different length packets. The conclusion is that this diagnostic tool provides a correct judgment of the accuracy of packet corruption caused by multipath fading up to 98.70%, and an accuracy of up to 92.99% for the WiFi-interferenced packet corruption.
16
Tvaroh, Tomáš. "Využití metod data miningu při analýze kreditních dat". Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-200207.
Abstract (sommario):
This thesis focuses on comparison of selected data mining methods for solving classification tasks with the method of logistic regression. First part of the thesis briefly introduces data mining as a scientific discipline and classification task is shown in the context of knowledge data discovery. Next part explains the principle of particular methods amongst which, along with logistic regression, artificial neural networks, classification decision trees and Support Vector Machine method were selected. Together with mathematical background of each algorithm, demonstration of how the classification functions for new examples is mentioned. Analytical part of this thesis tests decribed methods on real-world data from the Lending Club company and they are compared based on classification accuracy. Towards the end, an evaluation of logistic regression is made in terms of whether its majority position is due to historical reasons or for its high classification accuracy compared to other methods.
17
Sibanda, Wilbert. "Comparative study of neural networks and design of experiments to the classification of HIV status / Wilbert Sibanda". Thesis, North West University, 2013. http://hdl.handle.net/10394/13179.
Abstract (sommario):
This research addresses the novel application of design of experiment, artificial neural net-works and logistic regression to study the effect of demographic characteristics on the risk of acquiring HIV infection among the antenatal clinic attendees in South Africa. The annual antenatal HIV survey is the only major national indicator for HIV prevalence in South Africa. This is a vital technique to understand the changes in the HIV epidemic over time. The annual antenatal clinic data contains the following demographic characteristics for each pregnant woman; age (herein called mother's age), partner's age (herein father's age), population group (race), level of education, gravidity (number of pregnancies), parity (number of children born), HIV and syphilis status. This project applied a screening design of experiment technique to rank the effects of individual demographic characteristics on the risk of acquiring an HIV infection. There are a various screening design techniques such as fractional or full factorial and Plackett-Burman designs. In this work, a two-level fractional factorial design was selected for the purposes of screening. In addition to screening designs, this project employed response surface methodologies (RSM) to estimate interaction and quadratic effects of demographic characteristics using a central composite face-centered and a Box-Behnken design. Furthermore, this research presents the novel application of multi-layer perceptron’s (MLP) neural networks to model the demographic characteristics of antenatal clinic attendees. A review report was produced to study the application of neural networks to modelling HIV/AIDS around the world. The latter report is important to enhance our understanding of the extent to which neural networks have been applied to study the HIV/AIDS pandemic. Finally, a binary logistic regression technique was employed to benchmark the results obtained by the design of experiments and neural networks methodologies. The two-level fractional factorial design demonstrated that HIV prevalence was highly sensitive to changes in the mother's age (15-55 years) and level of her education (Grades 0-13). The central composite face centered and Box-Behnken designs employed to study the individual and interaction effects of demographic characteristics on the spread of HIV in South Africa, demonstrated that HIV status of an antenatal clinic attendee was highly sensitive to changes in pregnant mother's age and her educational level. In addition, the interaction of the mother's age with other demographic characteristics was also found to be an important determinant of the risk of acquiring an HIV infection. Furthermore, the central composite face centered and Box-Behnken designs illustrated that, individual-ally the pregnant mother's parity and her partner's age had no marked effect on her HIV status. However, the pregnant woman’s parity and her male partner’s age did show marked effects on her HIV status in “two way interactions with other demographic characteristics”. The multilayer perceptron (MLP) sensitivity test also showed that the age of the pregnant woman had the greatest effect on the risk of acquiring an HIV infection, while her gravidity and syphilis status had the lowest effects. The outcome of the MLP modelling produced the same results obtained by the screening and response surface methodologies. The binary logistic regression technique was compared with a Box-Behnken design to further elucidate the differential effects of demographic characteristics on the risk of acquiring HIV amongst pregnant women. The two methodologies indicated that the age of the pregnant woman and her level of education had the most profound effects on her risk of acquiring an HIV infection. To facilitate the comparison of the performance of the classifiers used in this study, a receiver operating characteristics (ROC) curve was applied. Theoretically, an ROC analysis provides tools to select optimal models and to discard suboptimal ones independent from the cost context or the classification distribution. SAS Enterprise MinerTM was employed to develop the required receiver-of-characteristics (ROC) curves. To validate the results obtained by the above classification methodologies, a credit scoring add-on in SAS Enterprise MinerTM was used to build binary target scorecards comprised of HIV positive and negative datasets for probability determination. The process involved grouping variables using weights-of-evidence (WOE), prior to performing a logistic regression to produce predicted probabilities. The process of creating bins for the scorecard enables the study of the inherent relationship between demographic characteristics and an in-dividual’s HIV status. This technique increases the understanding of the risk ranking ability of the scorecard method, while offering an added advantage of being predictive.
18
Fang, Wei-Ta. "A landscape approach to reserving farm ponds for wintering bird refuges in Taoyuan, Taiwan". Texas A&M University, 2003. http://hdl.handle.net/1969.1/3984.
Abstract (sommario):
Man-made farm ponds are unique geographic features of the Taoyuan Tableland.
Besides irrigation, they provide refuges for wintering birds. The issue at hand is that
these features are disappearing and bring with it the loss of this refuge function. It is
ecologically significant because one fifth of all the bird species in Taiwan find a home
on these ponds. This study aims at characterizing the diversity of bird species associated
with these ponds whose likelihood of survival was assessed along the gradient of land
development intensities. Such characterization helps establish decision criteria needed
for designating certain ponds for habitat preservation and developing their protection
strategies.
A holistic model was developed by incorporating logistic regression with error
back-propagation into the paradigm of artificial neural networks (ANN). The model
considers pond shape, size, neighboring farmlands, and developed areas in calculating
parameters pertaining to their respective and interactive influences on avian diversity,
among them the Shannon-Wiener diversity index (HÂ). Results indicate that ponds with
regular shape or the ones with larger size possess a strong positive correlation with HÂ. Farm ponds adjacent to farmland benefited waterside bird diversity. On the other hand,
urban development was shown to cause the reduction of farmland and pond numbers,
which in turn reduced waterside bird diversity. By running the ANN model with four
neurons, the resulting HÂ index shows a good-fit prediction of bird diversity against pond
size, shape, neighboring farmlands, and neighboring developed areas with a correlation
coefficient (r) of 0.72, in contrast to the results from a linear regression model (r < 0.28).
Analysis of historical pond occurrence to the present showed that ponds with
larger size and a long perimeter were less likely to disappear. Smaller (< 0.1 ha) and
more curvilinear ponds had a more drastic rate of disappearance. Based on this finding, a
logistic regression was constructed to predict pond-loss likelihood in the future and to
help identify ponds that should be protected. Overlaying results from ANN and form
logistic regression enabled the creation of pond-diversity maps for these simulated
scenarios of development intensities with respective to pond-loss trends and the
corresponding dynamics of bird diversity.
19
Bergtold, Jason Scott. "Advances in Applied Econometrics: Binary Discrete Choice Models, Artificial Neural Networks, and Asymmetries in the FAST Multistage Demand System". Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/27266.
Abstract (sommario):
The dissertation examines advancements in the methods and techniques used in the field of econometrics. These advancements include: (i) a re-examination of the underlying statistical foundations of statistical models with binary dependent variables. (ii) using feed-forward backpropagation artificial neural networks for modeling dichotomous choice processes, and (iii) the estimation of unconditional demand elasticities using the flexible multistage demand system with asymmetric partitions and fixed effects across time.
The first paper re-examines the underlying statistical foundations of statistical models with binary dependent variables using the probabilistic reduction approach. This re-examination leads to the development of the Bernoulli Regression Model, a family of statistical models arising from conditional Bernoulli distributions. The paper provides guidelines for specifying and estimating a Bernoulli Regression Model, as well as, methods for generating and simulating conditional binary choice processes. Finally, the Multinomial Regression Model is presented as a direct extension.
The second paper empirically compares the out-of-sample predictive capabilities of artificial neural networks to binary logit and probit models. To facilitate this comparison, the statistical foundations of dichotomous choice models and feed-forward backpropagation artificial neural networks (FFBANNs) are re-evaluated. Using contingent valuation survey data, the paper shows that FFBANNs provide an alternative to the binary logit and probit models with linear index functions. Direct comparisons between the models showed that the FFBANNs performed marginally better than the logit and probit models for a number of within-sample and out-of-sample performance measures, but in the majority of cases these differences were not statistically significant. In addition, guidelines for modeling contingent valuation survey data and techniques for estimating median WTP measures using FFBANNs are examined.
The third paper estimates a set of unconditional price and expenditure elasticities for 49 different processed food categories using scanner data and the flexible and symmetric translog (FAST) multistage demand system. Due to the use of panel data and the presence of heterogeneity across time, temporal fixed effects were incorporated into the model. Overall, estimated price elasticities are larger, in absolute terms, than previous estimates. The use of disaggregated product groupings, scanner data, and the estimation of unconditional elasticities likely accounts for these differences.Ph. D.
20
Bartes, Lukáš. "Studie logistické koncepce v podniku". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2007. http://www.nusl.cz/ntk/nusl-221490.
Abstract (sommario):
Master´s thesis is solved in business enterprise focused on end user, proceeding demand prognosis. With concentration on solution and optimizing transport costs in options (production enterprise inventory, cross-docking), inventory management and logistic network in enterprise.
21
Lim, Ji-Hyun. "A computational approach to discovering p53 binding sites in the human genome". Thesis, University of St Andrews, 2013. http://hdl.handle.net/10023/3388.
Abstract (sommario):
The tumour suppressor p53 protein plays a central role in the DNA damage response/checkpoint pathways leading to DNA repair, cell cycle arrest, apoptosis and senescence. The activation of p53-mediated pathways is primarily facilitated by the binding of tetrameric p53 to two 'half-sites', each consisting of a decameric p53 response element (RE). Functional REs are directly adjacent or separated by a small number of 1-13 'spacer' base pairs (bp). The p53 RE is detected by exact or inexact matches to the palindromic sequence represented by the regular expression [AG][AG][AG]C[AT][TA]G[TC][TC][TC] or a position weight matrix (PWM). The use of matrix-based and regular expression pattern-matching techniques, however, leads to an overwhelming number of false positives. A more specific model, which combines multiple factors known to influence p53-dependent transcription, is required for accurate detection of the binding sites. In this thesis, we present a logistic regression based model which integrates sequence information and epigenetic information to predict human p53 binding sites. Sequence information includes the PWM score and the spacer length between the two half-sites of the observed binding site. To integrate epigenetic information, we analyzed the surrounding region of the binding site for the presence of mono- and trimethylation patterns of histone H3 lysine 4 (H3K4). Our model showed a high level of performance on both a high-resolution data set of functional p53 binding sites from the experimental literature (ChIP data) and the whole human genome. Comparing our model with a simpler sequence-only model, we demonstrated that the prediction accuracy of the sequence-only model could be improved by incorporating epigenetic information, such as the two histone modification marks H3K4me1 and H3K4me3.
22
Hani, Mouhoub. "La coopétition réticulaire globale : Nouvelle structure d'interaction dynamique entre concurrents en vue de l'innovation". Thesis, Paris Est, 2015. http://www.theses.fr/2015PESC0057.
Abstract (sommario):
Cette recherche a pour objectif principal d’explorer une nouvelle forme d’interaction dynamique entre concurrents encastrés, désormais, dans des structures complexes que sont les réseaux. Il s’agit de la coopétition réticulaire globale qui renvoie à la simultanéité de la coopération et de la compétition entre des réseaux d’acteurs globaux issus de secteurs d’activité distincts. La recherche actuelle sur la coopétition s’est largement focalisée sur l’aspect organisationnel et dyadique, voire sectoriel de la relation. En revanche, le niveau réticulaire est rarement exploré, ce qui a suscité cette recherche qui l’intègre dans une perspective globale. En effet, s’appuyant sur une étude longitudinale multisectorielle réalisée sur des données de panel collectées à partir de sources variées, une régression non-linéaire à l’aide d’un modèle logistique multivarié ordonné a été menée, dans un premier temps pour tester les hypothèses relatives aux déterminants et une régression de Poisson dans un second temps afin de mesurer l’effet des formes de la coopétition réticulaire sur l’innovation. Les principaux résultats mettent en évidence des déterminants organisationnels, dyadiques, sectoriels et réticulaires qui favorisent l’émergence de la coopétition réticulaire sous quatre formes, à savoir la coopétition intra-réseau, la coopétition inter-réseaux, la coopétition globale et la coopétition de réseaux. De plus, les résultats montrent que ces formes identifiées influence à des degrés différents, l’innovation des firmes membres. Cette recherche permet d’attirer l’attention de la communauté scientifique à considérer le niveau réticulaire dans l’analyse des relations inter-firmes, d’une part, et d’aider les managers à faire face à l’incertitude inhérente à l’environnement global et au rythme accéléré d’innovationThe main objective of this research is to explore a new form of dynamic interaction between competitors that are embedded in complex structures such as networks. It is about global network coopetition which refers to the simultaneous cooperation and competition between global actors networks belonging to different industries. Current research on coopetition has largely focused on the organizational, dyadic or industrial aspect. However, the reticular level is scarcely explored which aroused the interest of this research idea that includes it with a global perspective. Indeed, based on a longitudinal multi-sectorial study with panel data collected from various sources, a non-linear regression through ordered multivariate logistic model was first used to test hypotheses on network coopetition drivers. Then, a Poisson regression was used to measure the effect of network coopetition forms on innovation. The main results highlight organizational, dyadic, industrial and reticular drivers that lead to the emergence of reticular coopetition under four forms, namely, intra-network coopetition, inter-network coopetition, global coopetition and networks coopetition. Furthermore, results show that these forms influence differently firms’ innovation. On one hand, this research allows drawing scientific community attention to consider the reticular level in inter-firm relationships analysis. On the other hand, it helps managers to deal with the global environment uncertainty and its innovation accelerated pace
23
Wang, Yating. "Trust-Based Service Management for Service-Oriented Mobile Ad Hoc Networks and Its Application to Service Composition and Task Assignment with Multi-Objective Optimization Goals". Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/70965.
Abstract (sommario):
With the proliferation of fairly powerful mobile devices and ubiquitous wireless technology, traditional mobile ad hoc networks (MANETs) now migrate into a new era of service-oriented MANETs wherein a node can provide and receive service from other nodes it encounters and interacts with. This dissertation research concerns trust management and its applications for service-oriented MANETs to answer the challenges of MANET environments, including no centralized authority, dynamically changing topology, limited bandwidth and battery power, limited observations, unreliable communication, and the presence of malicious nodes who act to break the system functionality as well as selfish nodes who act to maximize their own gain.
We propose a context-aware trust management model called CATrust for service-oriented ad hoc networks. The novelty of our design lies in the use of logit regression to dynamically estimate trustworthiness of a service provider based on its service behavior patterns in a context environment, treating channel conditions, node status, service payoff, and social disposition as 'context' information. We develop a recommendation filtering mechanism to effectively screen out false recommendations even in extremely hostile environments in which the majority recommenders are malicious. We demonstrate desirable convergence, accuracy, and resiliency properties of CATrust. We also demonstrate that CATrust outperforms contemporary peer-to-peer and Internet of Things trust models in terms of service trust prediction accuracy against collusion recommendation attacks.
We validate the design of trust-based service management based on CATrust with a node-to-service composition and binding MANET application and a node-to-task assignment MANET application with multi-objective optimization (MOO) requirements. For either application, we propose a trust-based algorithm to effectively filter out malicious nodes exhibiting various attack behaviors by penalizing them with trust loss, which ultimately leads to high user satisfaction. Our trust-based algorithm is efficient with polynomial runtime complexity while achieving a close-to-optimal solution. We demonstrate that our trust-based algorithm built on CATrust outperforms a non-trust-based counterpart using blacklisting techniques and trust-based counterparts built on contemporary peer-to-peer trust protocols. We also develop a dynamic table-lookup method to apply the best trust model parameter settings upon detection of rapid MANET environment changes to maximize MOO performance.Ph. D.
24
Ho, Koki. "Dynamic network modeling for spaceflight logistics with time-expanded networks". Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98557.
Abstract (sommario):
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2015.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 139-145).
This research develops a dynamic logistics network formulation for high-level lifecycle optimization of space mission sequences in order to find an optimal space transportation architecture considering its technology trades over time. The proposed methodology is inspired by terrestrial logistics analysis techniques based on linear programming network optimization. A new model with a generalized multi-commodity network flow formulation and a time-expanded network is developed for dynamic space logistics optimization. The developed methodology is applied to three case studies: 1) human exploration of Mars; 2) human exploration of a near-Earth object (NEO); 3) their combination (related to the concept of the Flexible Path). The results reveal multiple dynamic system-level trades over time and provide recommendations for an optimal strategy for human space exploration architecture. The considered trades include those between in-situ resource utilization (ISRU) and propulsion technologies as well as orbit and depot location selection over time. The numerical results show that using specific combinations of propulsion technologies, ISRU, and other space infrastructure elements effectively, we can reduce the initial mass in low- Earth orbit (IMLEO) by 45-50% compared with the baseline architecture. In addition, the analysis results also show that we can achieve 15-20% IMLEO reduction by designing Mars and NEO missions together as a campaign compared with designing them separately owing to their common space logistics infrastructure pre-deployment. This research serves as a precursor for eventual permanent settlement and colonization of other planets by humans, thus transforming us into a multi-planet species.
by Koki Ho.
Ph. D.
25
Karcher, Cristiane. "Redes Bayesianas aplicadas à análise do risco de crédito". Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/3/3142/tde-25052009-162507/.
Abstract (sommario):
Modelos de Credit Scoring são utilizados para estimar a probabilidade de um cliente proponente ao crédito se tornar inadimplente, em determinado período, baseadas em suas informações pessoais e financeiras. Neste trabalho, a técnica proposta em Credit Scoring é Redes Bayesianas (RB) e seus resultados foram comparados aos da Regressão Logística. As RB avaliadas foram as Bayesian Network Classifiers, conhecidas como Classificadores Bayesianos, com seguintes tipos de estrutura: Naive Bayes, Tree Augmented Naive Bayes (TAN) e General Bayesian Network (GBN). As estruturas das RB foram obtidas por Aprendizado de Estrutura a partir de uma base de dados real. Os desempenhos dos modelos foram avaliados e comparados através das taxas de acerto obtidas da Matriz de Confusão, da estatística Kolmogorov-Smirnov e coeficiente Gini. As amostras de desenvolvimento e de validação foram obtidas por Cross-Validation com 10 partições. A análise dos modelos ajustados mostrou que as RB e a Regressão Logística apresentaram desempenho similar, em relação a estatística Kolmogorov- Smirnov e ao coeficiente Gini. O Classificador TAN foi escolhido como o melhor modelo, pois apresentou o melhor desempenho nas previsões dos clientes maus pagadores e permitiu uma análise dos efeitos de interação entre variáveis.Credit Scoring Models are used to estimate the insolvency probability of a customer, in a period, based on their personal and financial information. In this text, the proposed model for Credit Scoring is Bayesian Networks (BN) and its results were compared to Logistic Regression. The BN evaluated were the Bayesian Networks Classifiers, with structures of type: Naive Bayes, Tree Augmented Naive Bayes (TAN) and General Bayesian Network (GBN). The RB structures were developed using a Structure Learning technique from a real database. The models performance were evaluated and compared through the hit rates observed in Confusion Matrix, Kolmogorov-Smirnov statistic and Gini coefficient. The development and validation samples were obtained using a Cross-Validation criteria with 10-fold. The analysis showed that the fitted BN models have the same performance as the Logistic Regression Models, evaluating the Kolmogorov-Smirnov statistic and Gini coefficient. The TAN Classifier was selected as the best BN model, because it performed better in prediction of bad customers and allowed an interaction effects analysis between variables.
26
Selau, Lisiane Priscila Roldão. "Construção de modelos de previsão de risco de crédito". reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2008. http://hdl.handle.net/10183/12572.
Abstract (sommario):
A presente dissertação tem como objetivo propor uma sistemática para a construção de modelos de previsão de risco de crédito e também comparar o desempenho de três técnicas estatísticas multivariadas utilizadas para sua construção: análise discriminante, regressão logística e redes neurais. O método proposto (denominado Modelo PRC) é composto de seis etapas: (i) delimitação da população; (ii) seleção da amostra; (iii) análise preliminar; (iv) construção do modelo; (v) escolha do modelo e (vi) passos para implantação. O Modelo PRC foi aplicado em uma amostra de 17.005 clientes de uma rede de farmácias com crediário próprio. Os resultados encontrados demonstram uma superioridade das redes neurais em relação às outras duas técnicas, o que era esperado devido a sua abordagem nãolinear na combinação das variáveis. Considerando a venda anual aos clientes da base em estudo e utilizando o modelo neural desenvolvido, estima-se um acréscimo de 65% nos lucros.This work presents a methodology for credit risk prediction, comparing the performance of three statistical techniques used in the prediction process: discriminant analysis, logistic regression and neural networks. The proposed method (entitled PRC Model) embraces six steps: (i) population definition, (ii) sampling, (iii) preliminary analysis, (iv) model development, (v) model selection and (vi) implementation steps. The PRC Model was applied to a sample of 17,005 customers from an organization, which manages his own credit system and controls a pool of drugstores. The results show the superiority of neural networks over the other two techniques. This was expected due to the non-linear approach of the neural network when dealing with the explanatory variables. Considering the neural network model and the annual sales due to customers included on this study, the use of the proposed methodology indicates a 65% potential profits.
27
Singh, Gurpreet. "Statistical Modeling of Dynamic Risk in Security Systems". Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273599.
Abstract (sommario):
Big data has been used regularly in finance and business to build forecasting models. It is, however, a relatively new concept in the security industry. This study predicts technology related alarm codes that will sound in the coming 7 days at location $L$ by observing the past 7 days. Logistic regression and neural networks are applied to solve this problem. Due to the problem being of a multi-labeled nature logistic regression is applied in combination with binary relevance and classifier chains. The models are trained on data that has been labeled with two separate methods, the first method labels the data by only observing location $L$. The second considers $L$ and $L$'s surroundings. As the problem is multi-labeled the labels are likely to be unbalanced, thus a resampling technique, SMOTE, and random over-sampling is applied to increase the frequency of the minority labels. Recall, precision, and F1-score are calculated to evaluate the models. The results show that the second labeling method performs better for all models and that the classifier chains and binary relevance model performed similarly. Resampling the data with the SMOTE technique increases the macro average F1-scores for the binary relevance and classifier chains models, however, the neural networks performance decreases. The SMOTE resampling technique also performs better than random over-sampling. The neural networks model outperforms the other two models on all methods and achieves the highest F1-score.Big data har använts regelbundet inom ekonomi för att bygga prognosmodeller, det är dock ett relativt nytt koncept inom säkerhetsbranschen. Denna studie förutsäger vilka larmkoder som kommer att låta under de kommande 7 dagarna på plats $L$ genom att observera de senaste 7 dagarna. Logistisk regression och neurala nätverk används för att lösa detta problem. Eftersom att problemet är av en multi-label natur tillämpas logistisk regression i kombination med binary relevance och classifier chains. Modellerna tränas på data som har annoterats med två separata metoder. Den första metoden annoterar datan genom att endast observera plats $L$ och den andra metoden betraktar $L$ och $L$:s omgivning. Eftersom problemet är multi-labeled kommer annoteringen sannolikt att vara obalanserad och därför används resamplings metoden, SMOTE, och random over-sampling för att öka frekvensen av minority labels. Recall, precision och F1-score mättes för att utvärdera modellerna. Resultaten visar att den andra annoterings metoden presterade bättre för alla modeller och att classifier chains och binary relevance presterade likartat. Binary relevance och classifier chains modellerna som tränades på datan som använts sig av resamplings metoden SMOTE gav ett högre macro average F1-score, dock sjönk prestationen för neurala nätverk. Resamplings metoden SMOTE presterade även bättre än random over-sampling. Neurala nätverksmodellen överträffade de andra två modellerna på alla metoder och uppnådde högsta F1-score.
28
Králová, Veronika. "Logistika obchodních řetězců". Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-75120.
Abstract (sommario):
This diploma thesis aims to review and assess a current state of Czech retail market with fast-moving consumer goods and to analyze a logistic base of leading retail chains doing business in the Czech Republic. A reader can learn about development of retail in the last few years, but also about prediction of the future trends. Based on the theoretical background regarding retail and logistics, the analysis of particular leading companies is made. Moreover, possible future efficiency improvements of companies' process which could lead to better market position are considered. The result of the thesis is the clear picture of well operating retail chain, its logistics and a flow of the goods into the retail market as a whole.
29
Hamšík, Filip. "Vizualizace modelování rizik v logistice". Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2016. http://www.nusl.cz/ntk/nusl-241298.
Abstract (sommario):
This thesis focuses on development of web application for the visualization of waste transportation according to calculated data from optimization methods in GAMS application. Visualization shows the nodes and edges on Google Maps where it is possible to show more detailed information including diagrams and tables. The application provides filtering edges by their type, highlighting edges with dynamic setting, several different ways for user access and other features. Based on developed application there will be presented some recommendations applicable in future using of the model.
30
Junior, Francisco Henrique Figueiredo de Castro. "Previsão de insolvência de empresas brasileiras usando análise discriminante, regressão logística e redes neurais". Universidade de São Paulo, 2003. http://www.teses.usp.br/teses/disponiveis/12/12139/tde-16092004-121634/.
Abstract (sommario):
Estudos com o objetivo de prever insolvência de empresas e que fazem uso de técnicas estatísticas modernas são conduzidos desde a década de 1960. Esta linha de pesquisa, que inicialmente usou técnicas univariadas, e em seguida incorporou as análises multivariadas, hoje emprega largamente técnicas que fazem uso de inteligência artificial e que necessitam uma grande capacidade de processamento computacional. Esta evolução trouxe melhorias contínuas aos resultados alcançados e hoje é possível afirmar que os demonstrativos financeiros de empresas quando analisados adequadamente são uma fonte importante de informação para a previsão de insolvência. Esta pesquisa teve como principal objetivo desenvolver e comparar modelos estatísticos usando as técnicas de Análise Discriminante Linear, Regressão Logística e Redes Neurais Artificiais a fim de investigar qual delas oferece os melhores resultados. A amostra foi composta por 40 empresas, divididas em dois grupos: o primeiro com empresas formalmente insolventes segundo os critérios da legislação brasileira, e o segundo com empresas sem tais problemas. Foram usadas inicialmente 16 variáveis para predição e empregou-se um critério de seleção de variáveis baseado nos melhores subconjuntos possíveis ao invés do stepwise. Foi tomado especial cuidado com os pré-requisitos das técnicas, sobretudo da Análise Discriminante, como normalidade e ausência de multicolinearidade das variáveis independentes. Os resultados das previsões obtidas com os modelos foram coerentes com o esperado, ou seja, a Análise Discriminante teve um desempenho inferior à Regressão Logística que também foi superada pelas Redes Neurais Artificiais.Researches in bankruptcy prediction of companies that make use of modern statistics techniques are being held since the 1960s. This branch of study, which initially employed univariate techniques, and then assimilated the multivariate techniques today uses artificial intelligence, a techniques that needs a great computational processing capability. This evolution brought continuing improvements to the results achieved and today is possible to say that financial statements when properly analyzed are a good source of information to the prediction of financial distress. This research aimed mainly the development of prediction models using Discriminant Analysis, Logistic Regression and Artificial Neural Networks so that they could be compared in terms of predictive capabilities. The sample consisted of 40 firms divided in 2 groups (bankrupt and non bankrupt companies) according to the Brazilian bankruptcy law. The 16 initial predictors were selected to enter the model according to the best subsets procedure in order than the stepwise procedure. Special attention was taken to accomplish the pre-requisites of the techniques, above all the Discriminant Analysis, like normality and lack of multicollinearity of the independent variables. The findings of the predictions were reasonable and according to what was expected: the Discriminant Analysis was outperformed by the Logistic Regression that was also outperformed by the Artificial Neural Networks.
31
Boschian, Valentina. "Models and Methods for Multi-Actor Systems". Doctoral thesis, Università degli studi di Trieste, 2012. http://hdl.handle.net/10077/7431.
Abstract (sommario):
2010/2011The study of the models and methods to apply to multi-actor systems is a widely discussed research topic in the related scientific literature. The multi-actor systems are defined as systems that are characterized by the presence of several autonomous elements, of different decision makers and of complex rules that allow the communication, the coordination and the connection of the components of such systems. Commonly, the study of Multi-Actor System, MAS, recalls the well-known issues concerning the multi-agent systems. The research topic related to the multi-agent system firstly started to appear in scientific literature in 1980s, mainly in relation to the computer science and artificial intelligence. In this dissertation, in particular, the study of the multi-agent systems, and specifically of the multi-actor systems, is taken into account merely in relation to the distinctive features of complexity that characterize such systems and not to the issues concerning the agent-oriented software engineering. Therefore, the research results presented in this thesis are focused on the development and on the realization of innovative models and methodologies to face the management and the decision making mechanisms applied to complex multi-actor systems. This dissertation especially focuses on two different examples of multi-actor systems in two very diverse perspectives. The former deals with the research problem related to intermodal transportation networks, while the latter with the so called consensus problem in distributed networks of agents. Concerning the research problem related to the intermodal logistic systems, the research activity addresses the management of their more and more increasing complexity by the applications of the modern Information and Communication Technologies (ICT) tools that are key solutions to achieve the efficiency and to enhance logistics competitiveness. The related scientific literature still seems lacking in addressing with adequate attention the impact of these new techniques on the management of these complex systems and, moreover, there is an apparent lack of a systematic and general methodology to describe in detail the multiplicity of elements that can influence the dynamics and the corresponding information and decision making structure of intermodal transportation systems. The innovative results presented in this dissertation are focused on the development of an Integrated System, IS, devoted to manage intermodal transportation networks at the tactical as well as operational decision level to be used by decision makers both in off-line planning and real time management. To specify the Integrated System, a reference model is developed relying on a top-down metamodeling procedure. These innovative research results are a contribution to bridge the gap and to propose not only a systematic modeling approach devoted to describe a generic multi-actor logistic system, but also a management technique based on a closed loop strategy. The second example of application is focused on a topic that is widely discussed in scientific literature related to the study of the multi-actor collective behaviors in a distributed network. The interaction protocols that allow the agents to reach the convergence to a common value is called consensus or agreement problem. This research problem is particularly studied in the context of cooperative control of multi-agent systems because the agents are autonomous, independent and have to interact in a distributed network. The presented research results address the investigation of new and fast alignment protocols that enhance the performances of the standard iteration protocols for particular topologies of digraphs on the basis of a triangular splitting of the standard iteration matrix. The examined examples, the models and the methodologies applied to analyze them, are very different in the two cases and this testifies the large extent of research problems related to the multi-actor systems.
L’analisi di modelli e metodi da sviluppare e da applicare nel contesto dei sistemi multi-attoriali costituisce un tema molto variegato e discusso nella letteratura scientifica internazionale. I sistemi multi-attoriali sono sistemi che si contraddistinguono per la presenza di molti elementi autonomi diversi tra loro, di molteplici decisori e di complesse regole che determinano la comunicazione, il coordinamento e la connessione all'interno di tali sistemi. Frequentemente, facendo riferimento a sistemi multi-attoriali, Multi-Actor Systems, si richiama il tema molto attuale dei sistemi multi agente, Multi-Agent Systems. Diffusisi a partire dal 1980, i sistemi multi agente sono spesso studiati in relazione alle metodologie di sviluppo dell'ingegneria del software. Nel presente lavoro di tesi, il tema dei sistemi multi-agente, ed in particolare di quelli multi-attoriali, non viene analizzato in questo contesto, ma in relazione alle tecniche decisionali da adottare per gestire sistemi caratterizzati da un alto livello di complessità. In tale ambito, i risultati presentati all'interno di questa dissertazione sono focalizzati sullo sviluppo e sulla realizzazione di nuovi metodi e di nuove metodologie, in grado di affrontare la gestione della complessità dei sistemi multi-attoriali. Vengono in particolare esaminate due diverse problematiche, in due contesti completamente diversi e con tecniche differenti, a testimoniare le vaste applicazioni che riguardano i sistemi multi-attoriali. I problemi analizzati sono incentrati, in primo luogo, su un'applicazione inerente la gestione di sistemi logistici intermodali ed, in secondo luogo, sullo studio delle regole o protocolli di interazione in una rete distribuita di agenti autonomi. Per quanto riguarda l'aspetto legato ai sistemi intermodali di trasporto, un tema molto discusso nella letteratura scientifica recente, l'analisi si focalizza sulla gestione della loro sempre crescente complessità, tramite l'utilizzo di sistemi dell'Information and Communication Technology, ICT. Questi strumenti richiedono metodi e modelli che sono innovativi rispetto a quanto è presente nella letteratura scientifica, all'interno della quale è stata riscontrata la mancanza di un approccio sistematico e sufficientemente ad alto livello per la realizzazione di una metodologia in grado di descrivere allo stesso tempo sia la molteplicità di elementi che influenzano le dinamiche e le informazioni, sia le strutture decisionali dei sistemi intermodali. L'innovazione dei risultati presentati in questa tesi si focalizza proprio sull'esigenza di proporre un sistema integrato, Integrated System (IS), basato su un metamodello delle reti intermodali di trasporto, che fornisca un valido supporto ai decisori sia a livello tattico che operativo. Il secondo aspetto affrontato in questa tesi riguarda un altro argomento di largo ed attuale interesse nella letteratura scientifica, che viene comunemente chiamato problema del consenso. Questo problema affronta lo studio di come diversi agenti autonomi collocati su una rete distribuita siano in grado di comunicare e di accordarsi su un valore comune, senza la presenza di un decisore centrale. A questo scopo ci sono degli algoritmi che specificano le regole o protocolli di interazione tra i diversi agenti. In tale contesto, i risultati proposti si focalizzano su alcune problematiche rappresentate dal protocollo classico del consenso e soprattutto sulla sua scarsa efficienza in particolari conformazioni delle reti di agenti. Il lavoro di tesi propone, quindi, un approccio di suddivisione, splitting, della matrice standard di iterazione, di tipo triangolare, che presenta notevoli vantaggi in termini di performance rispetto all'algoritmo classico. Lo studio di problemi multi-attoriali, pertanto, richiede lo sviluppo di innovative metodologie decisionali e di nuovi metodi di gestione delle comunicazioni, per rispondere al livello sempre crescente di complessità, offrendo in questo modo alcuni spunti molto interessanti per la ricerca.
XXIV Ciclo
1984
32
Phadke, Amit Ashok. "Predicting open-source software quality using statistical and machine learning techniques". Master's thesis, Mississippi State : Mississippi State University, 2004. http://library.msstate.edu/etd/show.asp?etd=etd-11092004-105801.
33
Yang, Kaolee. "A Statistical Analysis of Medical Data for Breast Cancer and Chronic Kidney Disease". Bowling Green State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1587052897029939.
34
Bitala, Libor. "Návrh optimalizace logistiky internetového obchodu". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224349.
Abstract (sommario):
The diploma thesis „Proposal for Optimization of Logistics Online Store“ is focused to analysis of present state of logistics concepts of the company XY operating an online store with information technology. The goal is finding of weaknesses in logistic approaches and proposal of their changes for not only keep, but also improve its market position.
35
Maria, Öberg. "Governance for sustainable development of major European transport corridors : The Scandinavian-Mediterranean TEN-T core network corridor". Doctoral thesis, Luleå tekniska universitet, Arkitektur och vatten, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-65579.
Abstract (sommario):
Intermodal road, rail, air and sea transport networks across the European Union (EU) calledTrans-European Networks for Transport (TEN-T) are currently being implemented. Keyelements, which should be implemented by 2030, are the most strategic TEN-T Core networkcorridors. These nine corridors are expected to enhance smoothness and sustainability oftransport across the EU, thereby enhancing cohesion between EU nations, and relate to non-EU nations. In the EU Regulation 1315/2013 a governance framework for implementation ofthe Core network corridors is outlined, which mainly involves appointment of a Europeancoordinator for each corridor, establishment of Corridor forums for consultations, andformulation of work plans and follow-up measures.This framework is now being implemented in practice. A recognised challenge in the processis engaging the numerous, diverse stakeholders. A possible solution is to introduceappropriate elements of complementary governance. Thus, in this doctoral research, suitablecomplementary governance to support the sustainable development of a Core networkcorridor was investigated. Complementary governance, a concept that was developed andrefined during the project, refers here to additional governance in relation to the governanceframework described for the EU Core network corridors in the EU Regulation 1315/2013.To address an identified gap in knowledge on the nature and utility of complementarygovernance a series of studies was carried out. The studies included a study of relevantacademic literature, studies of EU transport policy and implementation documents regardinggovernance and sustainability, a survey of views of Scandinavian-Mediterranean Corridorforum participants, and interviews with stakeholders in the Baltic Sea region. These studiescollectively constitute a case study, focusing on the Scandinavian-Mediterranean Corenetwork corridor, of the need for, and if a need is present the optimal design of,complementary governance in the process of sustainable development of a Core networkcorridor.The main findings of the studies are that the implementation process of the Core networkcorridors could benefit from complementary governance measures, mainly to increaseinclusiveness, which is crucial for a sustainable development. Complementary governancecould both deepen and broaden stakeholder awareness and involvement. This may haveseveral advantages, such as increasing possibilities for stakeholders to influence the processand benefit from the corridor, align activities, and promote cooperation and learning betweenstakeholders. Moreover, including stakeholders who are based outside the corridors mayimprove distributive aspects of the investments and reduce risks of focusing attention tooclosely on the corridors per se. However, broadening stakeholder inclusion also hasdisadvantages, as it increases the complexity of the process, which may impair itseffectiveness, and may lead to unrepresentative involvement due to differences instakeholders’ interests, administrative capacities and power. It also increases requirements forcoordination.The nature of complementary governance is multifaceted and related to diverse dimensions ofgovernance, such as processes, stakeholder participation and implementation documents. For complementary governance measures a flexible and task-specific multi-level design isemphasised, which may involve various types of engagement mechanisms. Further, thefindings showed a need to extend previously recognised types of public engagementmechanisms based on communication, consultation and participation in the decision-makingstage, by recognising another category, named stakeholder exchange. This category ischaracterised by stakeholder cooperation and collaboration in an implementation stage wheremain goals and policies already are in place.Areas for complementary governance in the implementation process of the Core networkcorridors were indicated in the interview study. They consisted of extended involvement ofprivate stakeholders, extended involvement of regional and local stakeholders, extendedinvolvement of stakeholders geographically external to the immediate corridor, and extendedinformation both generally and specifically (i.e. directed information to specific stakeholders).Several complementary governance measures that could potentially improve implementationof the Core network corridors were raised in the interviews, ranging from minor adjustment inthe existing process to entirely new solutions. These ideas correspond well to the indicatedareas and provide robust foundations for further discussion.Thus, findings from the research suggest several governance measures to systematicallyinvolve and engage diverse stakeholders in the Core network corridor implementationprocess. However, before introducing such measures, they should be assessed together withexisting governance measures, to avoid overlapping or contradictory initiatives, possiblyusing policy packaging approaches, where policies are combined and analysed together toachieve a desired overall outcome. Proposals for future research and practices are presented.
36
Della, Puppa Marco. "I driver del Global logistics network design nel legame economia, trasporti e logistica - aspetti teorici e casi applicativi". Doctoral thesis, Università degli studi di Trieste, 2011. http://hdl.handle.net/10077/6001.
Abstract (sommario):
2009/2010La tesi di dottorato si sviluppa avendo come punto di partenza un filone secondo il quale la ricerca scientifica nelle discipline del logistics management e dell’economia spaziale procede autonomamente facendo si che i due ambiti di ricerca risultano essere slegati pur essendovi alcuni elementi che li accomunano; per questo motivo viene proposta una agenda di ricerca finalizzata all’integrazione delle due al fine di creare un nuovo sistema di supporto alle decisioni per le politiche logistico/trasportistiche in capo al pianificatore pubblico. Più in particolare è posto l’accento principalmente su due specifici problemi di ricerca aperti dei quali il primo può essere considerato funzionale al secondo. In quest’ottica se il primo è volto all’ulteriore approfondimento dei principali driver firm level che stanno alla base delle configurazioni oggi assunte dalle reti logistiche globali (global logistics network design), l’altro filone è finalizzato allo sviluppo di nuovi modelli interpretativi dei legami tra la logistica in un’ottica aggregata (che supera quindi la visione puramente micro a favore dei livelli meta e macro) e l'economia regionale/spaziale. In altre parole essendo il logistics management focalizzato sulle dinamiche dell’impresa, la sfida proposta consiste nel capire ancora meglio le dinamiche logistico-trasportistiche micro indotte dai recenti fenomeni di globalizzazione in modo da poter elaborare, in step successivi, modelli logistici aggregati (meta e macro appunto, quali possono essere ad esempio quelli distrettuale/locale e regionale) che possano essere utili a meglio comprendere quale è il ruolo della logistica (e del logistics network design più precisamente), come evoluzione del trasporto, nell’ambito delle relazioni economiche a livello spaziale e quindi nella spatial economics. La tesi si è inserita all'interno del primo dei due ambiti di ricerca individuati, ossia quello finalizzato all'ulteriore approfondimento delle tematiche attinenti i trasporti e la logistica facendo particolare riferimento ai driver, cioè alle forze che determinano l'evoluzone globale della logistica, nonchè ai connessi aspetti decisionali e comportamentali che stanno alla base delle attuali configurazioni di logistics network design. Più in particolare obiettivo specifico della tesi è verificare, attraverso l'analisi di una serie di casi studio, quali sono i driver sottostanti i processi decisionali e comportamentali che hanno portano al (ri)disegno dei network logistici considerati. Dal punto di vista metodologico il lavoro si articola in quattro parti. Nella prima parte, muovendo da un’analisi della letteratura scientifica, sarà preso in esame il legame trasporti, logistica ed economia ed esplicitato perchè è opportuno progredire nella sua conoscenza sia a fini positivi che normativi. Per quanto riguarda la finalità positiva di approfondimento della conoscenza del legame, partendo dalla disamina di ciò che accomuna i trasporti e la logistica (come evoluzione del trasporto) con l'economia regionale/spaziale, sono analizzati i processi di evoluzione dei trasporti con particolare riferimento all'evoluzione del concetto di "costo del trasporto" ed esplicitati i punti di vista (gli approcci) dai quali il legame può essere analizzato. In relazione alla seconda, quella normativa, si va invece a verificare come una più approfondita conoscenza del legame economia-trasporti-logistica oltre alla finalità di arricchimento scientifico ha anche un risvolto normativo, ossia si configura quale elemento utile ai soggetti chiamati a pianificare le reti logistico-trasportistiche a livello territoriale. Nella seconda parte ci si concentra a livello micro e si entra nella c.d. black box della logistica prendendo in esame la letteratura sul logistics management. Più in particolare si va a vedere quali sono le principali problematiche logistico-trasportistiche generate dai recenti fenomeni di globalizzazione dell'economia, quali sono le forze (i driver) alla base dell'attuale evoluzione globale della logistica e più specificamente della (ri)configurazione globale dei network logistici. Nella terza parte del lavoro, ricorrendo ad un framework analitico che si basa su pecifiche metodologie proposte dal logistics management, vengono analizzati una serie di case study appartenenti sia al versante domanda che a quello dell'offerta logistico-trasportistica. Il framework applicato si sviluppa attorno due “sotto-metodologie” complementari che intendono descrivere i casi ponendosi in una prospettiva che abbraccia tanto le strategie e le soluzioni adottate in passato quanto quelle attuali in modo da evidenziare i processi di evoluzione delle configurazioni di network design implementate in risposta ai driver evolutivi. Più nello specifico la prima delle due “sotto-metodologie” si concretizza in uno schema di analisi dei processi e delle attività logistiche finalizzata alla ricostruzione della catena logistico-produttiva/supply chain nelle sue diverse componenti approvvigionamento, produzione e distribuzione; la seconda è invece finalizzata ad identificare le strategie, i modelli operativi e le pratiche operative (logistico-trasportistiche) contestualizzate rispetto l’ambiente in cui le imprese sono calate. Le evidenze emerse nella terza parte sono oggetto di elaborazione all'interno della quarta, quella il cui obiettivo (che è anche obiettivo della tesi) è fornire un contributo alla comprensione delle forze (cioè dei driver) che hanno determinato i processi di (ri)disegno delle reti logistiche globali. In altre parole ciò che si vuole ottenere è una maggiore chiarezza di quali sono i motivi che, in chiave del mantenimento o dell'accrescimento della competitività globale, hanno indotto una serie di imprese ad intraprendere dei percorsi di (ri)disegno delle proprie reti logistico-trasportistiche e di capire altresì quali sono le soluzioni logistico-trasportistiche concretamente implementate in risposta a tali forze.
XXII Ciclo
1975
37
Hieber, Ralf. "Supporting transcorporate logistics by collaborative performance measurement in industrial logistics networks /". Zürich, 2001. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=14364.
38
Bürckel, Jannik, e Tobias Schreckenbach. "Actors in innovative City Logistics Networks : Individual Actors jointly forming City Logistics Networks and their Contribution towards Innovation". Thesis, Högskolan i Jönköping, Internationella Handelshögskolan, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-44045.
Abstract (sommario):
Background: City Logistics is experiencing many innovative activities in the recent years. These activities are initiated and enhanced by numerous public and private actors, who jointly form innovative networks. Purpose: The purpose of this thesis is to identify the actors, who jointly form the city logistics network, and determine their contribution towards innovation in these networks. Method: The research is based on an interview study. We conducted interviews with representatives of a variety of city logistics actors. These interviews and additional secondary data were analyzed using content analysis. To illustrate the structure of innovative city logistics networks, we used a combination of systems and network theory. Conclusion: The results show that actors from six groups are strongly involved in city logistics innovation. These are policymakers, logistics companies, shippers & receivers, technology providers, research institutions and independent platforms. Actors in innovative city logistics networks show a sufficient level of commitment, but they have different focuses in their innovative activities. The most extensive contributions are made by policymakers and logistics companies. Still, policymakers struggle in their function as coordinators of city logistics.
39
Song, Haiqing. "Dynamic flow management problems in logistics networks /". View abstract or full-text, 2005. http://library.ust.hk/cgi/db/thesis.pl?IEEM%202005%20SONG.
40
Juntunen, J. (Jouni). "Logistics outsourcing for economies in business networks". Doctoral thesis, University of Oulu, 2010. http://urn.fi/urn:isbn:9789514262241.
Abstract (sommario):
Abstract
The fundamental choice among governance mechanism is whether to externally organize transactions outside the boundary of the firm in the market, or whether to internally organize transactions within the firm's boundaries. In other words, major decision which is made on the firm's organizational strategy culminates in the make-or-buy decisions. In business and especially in the context of logistics, the worldwide usage and importance of outsourcing has grown dramatically over the last decades and researchers have reported on the outsourcing of logistics functions from several perspectives and a growing interest towards outsourcing is indicated by the volume of writings on the subject in scholarly journals, trade publications and popular magazines.
The theoretical framework in outsourcing studies has commonly been the theory of the firm in microeconomics, transaction cost theory, agency theory, marketing or strategic management. However, according to recent studies it seems that several perspectives are needed when studying the development of relationships and the antecedents that underlie outsourcing decisions. Hence, in this study, concepts will be used from several theoretical backgrounds to get an eclectic view of outsourcing. The main research question is to study how the buyers' logistics outsourcing decisions contribute to the accomplishment of goals in business networks.
Empirical part of thesis contains two data sets. First data were collected in November 2005 and the target group in this data was northern Finnish companies. Totally 161 acceptable responses were received, corresponding to a 27.4 percent response rate. The second data were collected from industrial companies in Finland during spring 2008. In the second data, 235 acceptable responses were returned, representing a response rate of 22.5 percent.
As a result, a two dimensional model was created for describing outsourcing relationships in the logistics service markets. On the one hand, network economies can be gained through horizontal mode of outsourcing, where focus is in unit costs of services and the way to achieve lowest possible unit costs are short-term bidding games among service providers. On the other hand, network economies can be achieved through vertical mode of outsourcing with cooperation and strategic partnership where all participants concentrate on their core competences and thus create network economies through transactional value in long-term. In the middle are hybrid modes of outsourcing where focus is on both unit costs of services and transaction costs. These outsourcing modes are where the outsourcing strategies arise and in this way, the thesis contributes to theoretical development of outsourcing phenomenon and concepts behind logistics outsourcing decision making.
41
Tadaros, Marduch. "Reverse Logistics for Lithium-ion Batteries : A study on BPEVs in Sweden". Thesis, Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-74371.
Abstract (sommario):
In recent years the amount of newly registered electric vehicles, hybrid electric vehicles, and plug-in hybrid electric vehicles has increased rapidly in the Swedish market. These vehicles could be classified as battery-powered electric vehicles, and a majority carry a lithium-ion battery. The demand for lithium is expected to increase considerably, as a result of such a swift growth in battery-powered electric vehicles. Thus, if the recycling rate of lithium stays at a low level, demand could reach a scarcity-level by 2050. While neither any infrastructure nor an established process for recycling lithium-ion batteries currently exists in Sweden, this study aims to provide necessary input and verified tools for the design of a future reverse supply chain for discarded lithium-ion batteries in Sweden. The literature review of this study covers the subjects of reverse logistics, supply chain network design, and operations research. A thorough situation analysis of the Swedish market for battery-powered electric vehicles is conducted, and the composition, function, and characteristics of lithium-ion batteries are studied. The study finds that estimations of future demand of recyclable lithium-ion batteries in Sweden could be between 206 711 and 726 974 tons accumulated, based on actual and predicted sales numbers until 2030. Even if it is obvious that there are going to be large quantities of such batteries requiring recycling in the future, and even if some established processes exist, there is no defined supply chain for the collection of those batteries. Finally, a mixed-integer programming model for the design and development of a future reverse supply chain is presented. The model, characterized as a discrete multi-period facility location/allocation model, can with minor modifications be used for problems with fluctuating demand or when the demand is assumed to slowly progress until it has reached a steady state.
42
Gonçalves, Eric Bacconi. "Análise de risco de crédito com o uso de modelos de regressão logística, redes neurais e algoritmos genéticos". Universidade de São Paulo, 2005. http://www.teses.usp.br/teses/disponiveis/12/12139/tde-09042008-144032/.
Abstract (sommario):
Praticamente todas as grandes instituições brasileiras que trabalham com concessão de crédito utilizam-se de modelos para avaliar o risco de inadimplência dos potenciais contratantes de produtos de crédito. Qualquer avanço nas técnicas, que resulte no aumento da precisão de um modelo de previsão, acarreta ganhos financeiros para a instituição. Neste trabalho são apresentados, em um primeiro momento, conceitos de crédito e risco. Posteriormente, a partir de uma amostra de dados, fornecida por uma grande instituição financeira brasileira, estão desenvolvidos três modelos, aplicando-se três técnicas para a classificação de clientes: Regressão Logística, Redes Neurais e Algoritmos Genéticos. Em uma etapa final, são avaliadas e comparadas a qualidade e performance dos modelos desenvolvidos, onde é apontado qual o modelo que melhor se ajusta aos dados. Os resultados obtidos pelos modelos de regressão logística e rede neural são satisfatórios e bastante próximos, sendo o primeiro ligeiramente superior. O modelo embasado por algoritmos genéticos apresenta também bons resultados embora num patamar inferior aos dois já citados. Este trabalho ilustra os procedimentos a serem adotados por uma empresa para identificar o melhor modelo de concessão de crédito que tenha boa aderência aos seus dados. A adoção do melhor modelo detectado permite o direcionamento da estratégia da instituição, podendo aumentar a eficiência do seu negócio.Most of the large Brazilian institutions which work with credit concession use credit models to evaluate the risk of consumer loans. Any improvement in techniques that results in the precision increase of a prediction model, will provide financial gains to the institution. The first phase of this study introduces concepts of credit and risk. Subsequently, with a sample set of applicants from a large Brazilian financial institution, three credit scoring models are built applying three different techniques: Logistic Regression, Neural Networks and Genetic Algorithms. Finally, the quality and the performance of these models are evaluated and compared, and the best one is identified. The results obtained by the logistic regression model and neural network model are good and very similar, but the first one is slightly better. The results obtained with the genetic algorithm model are also good, but a little bit inferior. This study shows proceedings to be adopted by a financial institution in order to identify the best credit model to evaluate the risk of consumer loans. The use of the proper model will help the definition of an adequate business strategy and increase profits.
43
Chaudhari, Gaurav Singh. "Information Network Design for Lean Logistics". Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/29677.
Abstract (sommario):
Manufacturing supply chains are invariably dynamic and complicated in nature. Hence, steady
state models are not sufficient for analyzing and designing supply chains. Models of supply
chains must accurately capture their dynamic behavior, which is determined by the structure of
the organization, and the policies adopted by management. System dynamics modeling provides
a powerful framework for this purpose.
The use of system dynamics models in supply chain management has thus far been limited to
explaining phenomenon like the bullwhip effect, and for policy development. We provide a
structured approach for policy design, which doesnâ t rely on any simulation experiments.
Further, we study the impact that information network design has on the response of supply
chains. We use a combinatorial approach to develop guidelines for information network design.
Further, we examine the possibility of utilizing a PID information feedback structure to enhance
the responsiveness of the supply chain. Lastly, we propose a combined feedback feed-forward
information structure to enable a supply chain to rapidly respond to disturbances whose effects
are known. The goal of this dissertation is to provide a structured approach for the design of
information network structure, and operating policy.Ph. D.
44
Mendonça, Tiago Silva. "Modelos de regressão logística clássica, Bayesiana e redes neurais para Credit Scoring". Universidade Federal de São Carlos, 2008. https://repositorio.ufscar.br/handle/ufscar/4535.
Abstract (sommario):
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Previous issue date: 2008-02-15Important advances have been achieved in the granting of credit, however, the problem of identifying good customers for the granting of credit does not provide a definitive solution. Several techniques were presented and are being developed, each presents its characteristics, advantages and disadvantages as to their discrimination power, robustness, ease of implementation and possibility of interpretation. This work presents three techniques for the classification of defaults in models of Credit Score, Classical Logistic Regression, Bayesian Logistic Regression with no prior information and Artificial Neural Networks with a few different architectures. The main objective of the study is to compare the performance of these techniques in the identification of customers default. For this, four metrics were used for comparison of models: predictive capacity, ROC Curve, Statistics of Kolmogorov Smirnov and capacity of hit models. Two data bases were used, an artificial bank and a real bank. The database was constructed artificially based on an article by Breiman that generates the explanatory variables from a multivariate normal distribution and the actual database used is a problem with Credit Score of a financial institution that operates in the retail Brazilian market more than twenty years.
Importantes avanços vêm sendo conquistados na área de concessão de crédito, não obstante, o problema de identificação de bons clientes para a concessão de crédito não apresenta uma solução definitiva. Diversas técnicas foram apresentadas e vêm sendo desenvolvidas, cada uma apresenta suas características, com vantagens e desvantagens no tocante ao seu poder de discriminação, robustez, facilidade de implementação e possibilidade de interpretação. Este trabalho apresenta três técnicas para a classificação de inadimplência em modelos de Credit Score, Regressão Logística Clássica, Regressão Logística Bayesiana com priori não informativa e Redes Neurais Artificiais com algumas diferentes arquiteturas. O objetivo principal do trabalho é comparar o desempenho destas técnicas na identificação de clientes inadimplentes. Para isto, Foram utilizadas quatro métricas para a comparação dos modelos: Capacidade Preditiva, Curva ROC, Estatística de Kolmogorov Smirnov e a Capacidade de Acerto dos modelos. Dois bancos de dados foram utilizados, um banco artificial e um banco real. O banco de dados artificial foi construído baseado em um artigo de Breiman que gera as variáveis explicativas a partir de uma distribuição normal multivariada e o banco de dados real utilizado trata-se de um problema de Credit Score de uma instituição financeira que atua no mercado varejista brasileiro há mais de vinte anos.
45
Hedar, Sara. "Applying Machine Learning Methods to Predict the Outcome of Shots in Football". Thesis, Uppsala universitet, Avdelningen för systemteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414774.
Abstract (sommario):
The thesis investigates a publicly available dataset which covers morethan three million events in football matches. The aim of the study isto train machine learning models capable of modeling the relationshipbetween a shot event and its outcome. That is, to predict if a footballshot will result in a goal or not. By representing the shot indifferent ways, the aim is to draw conclusion regarding what elementsof a shot allows for a good prediction of its outcome. The shotrepresentation was varied both by including different numbers of eventspreceding the shot and by varying the set of features describing eachevent.The study shows that the performance of the machine learning modelsbenefit from including events preceding the shot. The highestpredictive performance was achieved by a long short-term memory neuralnetwork trained on the shot event and six events preceding the shot.The features which were found to have the largest positive impact onthe shot events were the precision of the event, the position on thefield and how the player was in contact with the ball. The size of thedataset was also evaluated and the results suggest that it issufficiently large for the size of the networks evaluated.
46
Dvořáková, Iva. "Dopravní síť Pardubic, srovnání s Hradcem Králové". Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-17046.
Abstract (sommario):
Description and evaluation of a traffic network of Pardubice in all transport sectors (air, water, railway, road and cycling) and its comparison with a network of Hradec Králové. Integration of both transport systems. Suggestions for improvement of traffic infrastructure and transport integration. Optimalization of connection of chosen urban neighbourhood with a town centre by urban mass transportation.
47
Cui, Lianguang. "Innovation and network development of logistics firms". Doctoral thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Marketing and Logistics, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-31955.
Abstract (sommario):
This compilation thesis consists of a cover and five appended articles. The research purpose of this thesis is to investigate the third party logistics phenomena from the logistics firm’s perspective with a focus on logistics innovation and network development. The thesis applies a qualitative research method and employs multiple case studies. Resource-based view, industrial network approach and strategy-as-practice perspective have been applied and combined to analyze the empirical findings. It is found that logistics firms focus on customers’ requirements and they provide differentiated services accordingly. Based on the type of customers and the region served, each logistics firm innovates in a different way. The logistics innovation process is complicated and it includes both top-down and bottom-up process. Both intra-organizational interactions and inter-organizational interactions are critical for logistics firms to generate logistics innovation. Besides, the interaction capabilities are crucial for logistics firms to innovate. The development of interaction capabilities enables logistics firms to proactively identify customer needs and to translate customer requirements into new service offerings. The development of interaction capabilities also guides logistics firms to innovate in the right direction and helps them to overcome barriers. Further, a theoretical model is developed to illustrate that logistics firms have clear differences in capabilities and network focus. These firms follow different dominating logics of value creation, developing their service networks in various ways. The thesis addresses two critical issues, logistics innovation and network development. Theoretically, it contributes to the third party logistics literature in general and to the logistics innovation research in particular as well as the network development of logistics firms. Adopting several theoretical frameworks, the thesis takes a closer look at the logistics innovation process in logistics firms. Empirically, the thesis covers logistics firms both in Sweden and China, turning it into an international investigation of the how and why of logistics innovation.
48
Sonnert, Adrian. "Predicting inter-frequency measurements in an LTE network using supervised machine learning : a comparative study of learning algorithms and data processing techniques". Thesis, Linköpings universitet, Institutionen för datavetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148553.
Abstract (sommario):
With increasing demands on network reliability and speed, network suppliers need to effectivize their communications algorithms. Frequency measurements are a core part of mobile network communications, increasing their effectiveness would increase the effectiveness of many network processes such as handovers, load balancing, and carrier aggregation. This study examines the possibility of using supervised learning to predict the signal of inter-frequency measurements by investigating various learning algorithms and pre-processing techniques. We found that random forests have the highest predictive performance on this data set, at 90.7\% accuracy. In addition, we have shown that undersampling and varying the discriminator are effective techniques for increasing the performance on the positive class on frequencies where the negative class is prevalent. Finally, we present hybrid algorithms in which the learning algorithm for each model depends on attributes of the training data set. These algorithms perform at a much higher efficiency in terms of memory and run-time without heavily sacrificing predictive performance.
49
Muralidharan, Rohit. "The Impact of E-Commerce on Parcel Shipping Operators in The EU and The US". Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-146272.
Abstract (sommario):
Parcel carriers are susceptible to changes in the supply chain industry, as the carrier industry consists of many stakeholders who have an impact on the way they function. The stakeholders in the carrier industry are directly affected by the market trends that in turn affect the carrier business. Currently, E-commerce has a major influence on supply chain design, the operation of parcel carriers and the consumers. One main area of this thesis study is to analyse the impact of E-commerce on the parcel carriers in the EU and the US. Over time, E-commerce has caused a shift in the logistics industry that has made the carriers update the solutions they provide to their customers and to update their operations to accommodate the changes brought about by E-commerce. Since the operations of carriers in the EU and the US are different, this study focusses on five major parameters (Segmentation, Networks, Services, Specification and Tariff Structure) that help understand the carriers better in these two regions. This study will also help European Logistics Software Providers to re-organise themselves so it may help them to perform better integration processes between the carrier and their customers. It is evident that E-commerce has affected the parcel carrier industry and that the Logistics Software Providers must consider these parameters to have harmonized collaboration between the stakeholders in the supply chain. It is also difficult to normalize the selection of factors to be considered in the selection of a parcel carrier since the factors have a different effect in different regions around the world.
50
Iscanoglu, Aysegul. "Credit Scoring Methods And Accuracy Ratio". Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606502/index.pdf.
Abstract (sommario):
The credit scoring with the help of classification techniques provides to take easy and quick decisions in lending. However, no definite consensus has been reached with regard to the best method for credit scoring and in what conditions the methods performs best. Although a huge range of classification techniques has been used in this area, the logistic regression has been seen an important tool and used
very widely in studies. This study aims to examine accuracy and bias properties in parameter estimation of the logistic regression by using Monte Carlo simulations in four aspect which are dimension of the sets, length, the included percentage defaults in data and effect of variables on estimation. Moreover, application of some important statistical and non-statistical methods on Turkish credit default
data is provided and the method accuracies are compared for Turkish market. Finally, ratings on the results of best method is done by using receiver operating characteristic curve.