Dissertations / Theses on the topic 'Compact analytical model'

Thesis (MSc (Geography and Environmental Studies))--University of Stellenbosch, 2005.
The morphological form of South African cities is deemed inefficient and fragmented. Much of the current structure has been shaped by i) the political history of the country, with major influences from the colonial and apartheid eras; and ii) suburban sprawl influenced by the use of private vehicles. This presents obstacles to the sustainable and equitable development of our cities. Since the 1990s, efforts have been made to change the development of the country in order to accommodate previously disenfranchised communities through processes of reconstruction and development. Among these efforts are policies and frameworks aimed at guiding the development and growth of cities. Among the many approaches that have been identified are land use strategies, with the central focus of promoting densification and intensification of urban development. Emphasis on densification in certain public transport corridors and decentralised nodes are in general regarded as urban restructuring elements necessary to transform South African cities into efficient and sustainable areas. However, analytical tools that can explore the possibilities and limits of public transport-orientated development are scarce at present. The University of Utrecht in the Netherlands has developed an analytical model referred to as the node-place model, which can be used to profile nodes and to determine their (re)development potential. This study makes a contribution towards efforts to support the densification concept in general and nodal intensification in particular by applying the node-place model to a selection of railway stations in the Cape Town metropolitan area in order to identify appropriate land use developments to enhance their potential. The model was found to be a useful mechanism for comparing nodes within a transport system for purposes of informing decisions regarding how the nodes should be developed. However, the model requires more accurate and disaggregated data than is generally available for the Cape Town area.

Cette thèse porte sur l'amélioration des performances d’un microaccéléromètre convectif triaxial en termes de sensibilité, en particulier hors-plan, et d'efficacité, (i.e., rapport entre la sensibilité et l’énergie). Dans ce but, deux solutions sont étudiées par analyse numérique en utilisant un modèle FEM validé. La solution qui répond aux restrictions de la technologie CMOS 0,35µm et le post-traitement FSBM est choisie pour concevoir et fabriquer un nouvel accéléromètre convectif à 3 axes. Des simulations numériques sont utilisées pour démontrer la supériorité des performances du nouvel accéléromètre par rapport à un capteur de l’Etat de l’Art. Les sensibilités dans le plan et hors-plan maximales sont, respectivement, 246mK/g et 19mK/g. De plus, des modèles compacts analytiques sont établis pour prédire les niveaux de sensibilité dans le plan et hors-plan de microaccéléromètre nouvellement développé
This thesis deals with performance enhancement of triaxial convective microaccelerometer in terms of sensitivity, especially the out-of-plane one, and efficiency, (i.e., ratio of sensitivity to power). For this purpose, two solutions are investigated through numerical analysis using a validated FEM model. The solution which fully meets 0.35µm CMOS technology and FSBM post-process restrictions is chosen to design and fabricate a novel 3-axis convective accelerometer. Numerical simulations are used to demonstrate the superiority of the new accelerometer’s performance compared to a State-of-the-Art sensor. Maximum in-plane and out-of-plane sensitivities are, respectively, 246 mK/g and 19 mK/g. Further, compact analytical models are established to predict in-plane and out-of-plane sensitivity levels of the newly developed microaccelerometer

La densification extrême des cartes électroniques, couplée à une compacité toujours plus accrue entraîne des contraintes thermiques exacerbées, ceci constitue un verrou technologique à l’évolution des systèmes électroniques.Ce document traite de la modélisation thermique des composants électroniques, et de leur interaction avec des systèmes électroniques en général.Dans une première partie, le concept de modèles compacts, qui est une représentation partielle d’un composant électronique qui s’affranchit de sa géométrie, est abordé. Les différents concepts de modèles numériques sont expliqués et comparés en fonction de leur niveau de précision par rapport à une représentation détaillée d’un composant électronique.Dans une deuxième partie, la modélisation analytique des composants électroniques est développée, pour les composants mono-puces puis multi-puces. Le modèle analytique établi est basé sur la résolution 3-D de l’équation de la chaleur par les séries de Fourier dans un domaine multi-couche et avec des sources de chaleur volumique. Le modèle analytique est également comparé à une modélisation numérique dans le but de quantifier l’avantage de ce type de modélisation.Le concept de modèles compacts temporels est validé expérimentalement dans la troisième partie de ce document. Les modèles compacts explicités dans la première partie sont confrontés à des essais expérimentaux en régime transitoire. Ces essais démontrent que les modèles compacts temporels permettent d’obtenir un écart de température inférieur à 10%, ceci quelle que soit la configuration des véhicules de test thermique.Une quatrième partie s’attache sur un nouveau concept de modèles simplifiés dans le cas où la géométrie des composants électroniques n’est pas connue. Ce type de modélisation se base sur le modèle analytique de la seconde partie. Il est démontré que celui permet d’obtenir un écart inférieur à 10% avec le modèle numérique détaillé, quel que soit le niveau de complexité du composant.Enfin, la dernière partie aborde la potentielle utilisation des modèles compacts développés pour améliorer la conception d’une carte électronique industrielle. Pour cela, la modélisation compacte de cartes électroniques avec composants enterrés a été explorée. Cette approche s’appuie sur le développement analytique effectuée dans la seconde partie des travaux exposés avec pour objectif d’accentuer la capacité à modéliser les cartes possédant de multiples couches. Une méthode intelligente de calcul des diverses couches d’une la carte électronique a été établie. Celle-ci offre la possibilité d’explorer rapidement diverses options d’une conception tout en préservant un niveau de précision important
The extreme densification of electronic boards, coupled with their size reduction leads to critical thermal stress, resulting in technology barriers to the evolution of electronic systems.This document is about the thermal modelling of electronic components, and their interaction with electronic systems in general.In the first chapter, the concept of compact models, which is a partial representation of an electronic component without its geometry complexity, is addressed. The different types of compact models are explained and discussed in function of their accuracy towards detailed models of electronic components.In a second chapter, the analytical modelling of electronic components is developed, for mono and multi chips packages. The analytical model is based on the resolution of 3-D heat equation by the use of Fourier series for multi-layer domain and volumetric heat sources. The analytical model is therefore compared to numerical models with the goal to quantify the cons and pros of this representation.The concept of dynamical compact models is validated experimentally in a third chapter. The compact models of first chapter are confronted to experimental data in dynamic state. This comparison shows that the developed dynamical compact models have a deviation lower than 10% with experimental results, whatever the configuration of the thermal test vehicles.A fourth chapter introduces a new concept of simplified models, in the case of a lack of information about the geometry of electronic components. This new modelling concept is based on the analytical development of second chapter. It is shown that a discrepancy of less than 10% with detailed numerical models can be achieved, whatever the complexity level of electronic components.Finally, the last chapter deals with a potential way to exploit the developed thermal models for performing industrial board design. Thus, the compact modelling of electronic multilayer boards with buried components in its core layers is investigated.This approach is based on the analytical model of second chapter in order to deal with thin multi-layer electronic boards. A concept of a smart decomposition of the board layers is introduced, which allows a fast design exploration while preserving a high accuracy level

One of the most important threats for many firms today, despite their nature of the operation, size and longevity, is insolvency. Existing empirical evidence has shown that in the past two decades, business failures have occurred at a higher rate than any time since the 1930s. Many business failure studies have been conducted over time using financial ratios as inputs and traditional statistical techniques. Some of these studies examined whether cash flow information improves the prediction of business failure. Most recently, researchers have employed discriminant analysis to perform business failure prediction. The recent changes in the world caused by unstable environments where many firms fail more than ever, there is increasing need to predict business failure. To this date, there have been limited previous studies conducted on failure prediction for UK firms. Even in other countries, there has been a small amount of research done in the field of firm failures. Therefore, this study investigates the extension of Altman’s (1968) original model in predicting the health of UK firms using discriminant analysis and performance ratios to test which ratios are statistically significant in predicting the health of the UK firms .a selected sample containing 90 failed and 1000 non failed on UK industrial firms from 2000 – 2013. The main purpose of this study is to contribute towards Altman’s (1968) original Z-score model by adding new variables (Cash flow ratio). The study found that cash flow, when combined with Altman’s original variables is highly significant in predicting the health of UK general firms. A J-UK model was developed to test the health of UK firms. When compared with the re-estimated the Altman’s original model in the UK context, the predictive power of the model was 82.9%, which is consistent with Taffler’s (1982) UK model. Furthermore, to test the predictive power of the model before, during and after the financial crisis periods; results show that J-UK model had a higher accuracy to predict the health of UK firms than the re-estimated Altman’s original model. Finally, the study proves that liquidity, profitability, leverage and capital turnover ratios are significant ratios in predicting failure. Liquidity and profitability have the highest contribution to the results of both re-estimated Altman’s original model and J-UK model. This study has implications for decision makers. Regulatory bodies and practitioners have to take into account the ratios, which contributed highest to the model in order to serve as early warning signals for corrective action.

This thesis is concerned with the derivation, numerical analysis and implementation of high-order compact finite difference schemes for parabolic partial differential equations in multiple spatial dimensions. All those partial differential equations contain mixed derivative terms. The resulting schemes have been applied to equations appearing in computational finance. First, we develop and study essentially high-order compact finite difference schemes in a general setting with option pricing in stochastic volatility models on non-uniform grids as application. The schemes are fourth-order accurate in space and second-order accurate in time for vanishing correlation. In the numerical study we obtain high-order numerical convergence also for non-zero correlation and non-smooth payoffs which are typical in option pricing. In all numerical experiment a comparative standard second-order discretisation is significantly outperform. We conduct a numerical stability study which indicates unconditional stability of the scheme. Second, we derive and analyse high-order compact schemes with n-dimensional spatial domain in a general setting. We obtain fourth-order accuracy in space and second-order accuracy in time. A thorough von Newmann stability analysis is performed for spatial domain with dimensions two and three. We prove that a necessary stability condition holds unconditionally without additional restrictions on the choice of the discretisation parameters for vanishing mixed derivative terms. We also give partial results for non-vanishing mixed derivative terms. As first example Black-Scholes Basket options are considered. In all numerical experiments, where the initial conditions were smoothened using the smoothing operators developed by Kreiss, Thomée and Widlund, a comparative standard second-order discretisation is significantly outperformed. As second example the multi-dimentional Heston basket option is considered for n independent Heston processes, where for each Heston process there is a non-vanishing correlation between the stock and its volatility.

Organisations with high-performing data and analytics capabilities are more successful than organisations with lower analytics maturity. It is therefore necessary for organisations to assess their analytics capabilities and needs in order to identify and evaluate areas of improvement that need to be addressed. This was the purpose of this case study conducted on a region in a global B2B organisation, which has a centrally established analytics function on corporate level, wanting the use of analytics to be integrated in more of the region’s processes and analytical capabilities and resources being used as efficient as possible.To fulfil the thesis purpose, empirical data was collected through qualitative interviews with employees on corporate level, more quantitative interviews with regional employees and a questionnaire issued to regional employees. This was complemented with a thorough literature study which provided the analytics maturity models used for identifying the current capabilities on a holistic level of the region, as well as analytics setups, Lean Six Sigma and Knowledge Management. Results show a relatively low analytics maturity due to e.g. insufficient support from management, unclear responsibility of analytics, data not being used correctly or requested enough and various issues with competence, tools and sources.This study contributes to analytics research by identifying that analytics maturity models available free of charge only are good for inspiration and not full use when used in a large company. Furthermore, the study shows that complexities arise when having a central analytics function with low analytics maturity while other parts of the company face analytics problems but no indications are given on who and what to proceed on or not. This study therefore results in contributing with a proposition for companies wanting to increase its analytics maturity that this could be facilitated by establishing networks for analytics. Combining literature and empirics show that networks enable investigation of the analytics situation while at the same time enabling increased sharing, collaboration, innovation, coordination and dissemination. By making Lean Six Sigma a central part of the network analytics will be used more and better while at the same time increasing the success-rate of change and improvements projects.

This master´s thesis is focused on analysis of the company which is situated in the pro-duction of plastic windows and profile systems. Analysis of the actual state is made through the analysis of the inner and outer environment, financial situaction is estimated with the Kralicek Quick Test. Thesis includes suggestions and recommendations which will cause improvement of the situation at general in following years.

La simulation détaillée au niveau carte de ces nouveaux types de packages est quasiment impossible du fait de la limitation des moyens de calculs actuels. En outre, dans la plupart des cas de conception électronique, seule l’estimation des températures en quelques points est intéressante. Une étude détaillée au niveau composant n’est pas nécessairement pertinente. Il faut donc un compromis entre faisabilité et/ou rapidité des calculs et une précision sur les paramètres importants. Une alternative est de trouver des modèles comportementaux équivalents aux modèles détaillés, capable de reproduire son comportement thermique aux points cruciaux. C’est dans cette optique que le projet européen DELPHI (Development of libraries of physical models of electronic components for an integrated design environment) a été initié en 1993. L’objectif de ce projet était de pouvoir générer un modèle compact à partir d’un modèle détaillé d’un composant électronique. Celui-ci a ainsi abouti à une standardisation du processus de génération des modèles mis en oeuvre. Néanmoins, les avancées issues de ce projet sont limitées aux composants mono-puces et à leur comportement thermique en régime permanent. L’objectif de cette thèse est d’avoir une approche multi-échelle de la génération de modèles compacts et leur interaction avec la carte. La modélisation multi-échelle consiste à la génération de modèles mono-puces ou multi-puces et leur réutilisation éventuelle dans des systèmes plus complexes tels que le PCB ou les « System-In-packages »
This thesis is dedicated to the generation of behavioral thermal model for electronic component having multiple active sensitive chips. This innovative study focuses on the necessary improvements of the concept of steady-state and dynamic compact model in order to elaborate pertinent and accurate modeling practical techniques. To help the electronic designer to early identify the overheated electronic components, the purpose is to generate simplified models, capable to mimic the thermal behavior of sophisticated detailed models. These simplified or compact models using well-known thermal resistances network replicate the thermal path from the most sensitive elements to the external package surfaces and enable to accurately predict their temperatures as well as the case heat flow rates. Preliminary evaluations performed on the popular, plastic Quad Flat-pack No lead package family showed that the simplest network definition, restricted to the heating source and two external surfaces, is always insufficient to properly characterize the thermal response of real device. So our development of steady-state compact thermal model (CTM) for electronic component is based on a process flow defined by the European project DELPHI which was revised by the presented work to address multi-chip components. DELPHI style compact thermal model presents an enlarged node number, especially for the component external surfaces which are divided in a set of relevant areas

This diploma thesis deals with the marketing strategy of ROS.BR s.r.o. The work is divided into three units. The first theoretical part describes general problems of marketing strategy development, market development characteristics, segmentation and marketing situational analysis. The second analytical part deals with the analysis of the internal factors of the company, the general and the business environment, the interpretation of the conclusion from the questionnaire survey and the analysis of the web marketing tools. In the third final part is elaborated a proposal of marketing strategy, individual goals and paths to achieve the stated goals.

Le stockage de chaleur dans des géostructures énergétiques telles que des remblais est réalisable en installant des échangeurs horizontaux au sein des différentes couches de sol compacté. Dans ce système, l'énergie thermique qui est injectée en été via un fluide caloporteur circulant dans les échangeurs de chaleur, peut être extraite en période hivernale. Dans ces conditions, lors de la mise en service, le sol compacté est soumis à des variations de température quotidiennes et saisonnières. Ces variations pourraient modifier les performances thermo-hydro-mécaniques du sol compacté. Ainsi, le but de cette étude est d'étudier les performances thermiques et mécaniques d'un sol compacté lorsqu'il est soumis à des variations de température monotones et cycliques. Le sol étudié est un limon fréquemment utilisé dans les constructions de remblais en France. Le comportement thermique et mécanique du sol est étudié à un état de compactage correspondant aux propriétés thermiques optimales. Dans cet état, le sol compacté est non saturé ce qui complexifie l'estimation de ses propriétés thermiques. Pour pallier à ces difficultés, dans cette étude, un modèle inverse est proposé pour estimer les propriétés thermiques du sol compacté. L’efficacité du modèle est testée sur un jeu de données acquises dans la gamme de 20 à 50 °C dans un modèle réduit en laboratoire. Les valeurs obtenues sont ensuite comparées à des mesures classiques en laboratoire (méthodes en régime transitoire et en régime permanent). Cette méthode pourrait permettre de suivre l’évolution des propriétés thermiques du stockage et ainsi assurer son efficacité tout au long de sa durée de vie. La question de la stabilité à long terme de ces structures soumises à des variations thermiques monotones (5, 20 et 50 °C) et cycliques (5 à 50 °C) est ensuite abordée à l'aide d'essais oedomètriques et d’essais de cisaillement direct à température contrôlée. Les résultats des essais de compressibilité ont montré que l'effet de la variation de température est plus prononcé sous une contrainte verticale supérieure à la pression de préconsolidation. Les indices de compression et de gonflement peuvent être considérés comme indépendants des variations de température. Donc le tassement global du remblai dû aux variations thermiques pourrait être considéré comme négligeable. Les résultats des essais de cisaillement direct ont montré que les variations de température (monotones ou cycliques) augmentent la cohésion ce qui est avantageux pour la capacité portante et la stabilité des pentes des remblais. Dans la phase de conception d'un remblai de stockage, ces résultats seraient utiles au dimensionnement du système si des trajectoires thermomécaniques similaires à celles de cette étude sont respectées. Dans une dernière partie, une simulation numérique prenant en compte l'interaction sol-atmosphère est réalisée afin d’évaluer la performance thermique de ce sol compacté en conditions naturelles. Différentes profondeurs d'installation de boucles d'échangeurs de chaleur sont testéss ainsi que différents scénarios de stockage. Les résultats ont montré que le sol compacté augmente de 8.5% les performances du système par rapport à l'installation d'une boucle horizontale dans le sol naturel (non compacté). Les résultats de deux scénarios différents ont montré qu’en été avec un fluide ayant une température d'entrée de 50 °C augmente significativement la performance du système. De plus, une installation plus profonde des boucles horizontales améliore également la performance du système. Il convient de noter que le remblai est en interaction avec l'atmosphère depuis ses surfaces supérieure et latérale, l'efficacité thermique de la structure pourrait être affectée en raison des pertes de chaleur. Par conséquent, il est préférable de placer les échangeurs de chaleur loin des surfaces supérieures et latérales
Nowadays, thermal energy storage in geostructures like embankments can be possible by installing the horizontal heat exchangers in different layers of compacted soil. In this system, the thermal energy is stored in summer via a fluid, circulating in the heat exchangers, to be extracted in the demand period. When the serviceability of embankment as a medium to store the thermal energy starts, the compacted soil will be subjected to the daily and seasonally temperature variations. These seasonal temperature variations could modify the thermo-hydro-mechanical performance of the compacted soil. Thus, the aim of this study is to investigate the thermal and mechanical performances of a compacted soil when it is subjected to monotonic and cyclic temperature variations. The studied soil is a sandy lean clay that is frequently used in embankment constructions in France. The thermal and mechanical behavior of the soil are investigated at a compaction state corresponding to the optimal thermal properties. However, this compacted soil is unsaturated and the estimation of its thermal properties is complex. In this study, an inverse analytical model is proposed to estimate the thermal properties of the soil using temperature monitoring in the range of 20 to 50 °C in a soil compacted in a large container. The estimated thermal parameters were compared to classical laboratory measurements (transient and steady-state methods). The comparison showed that the estimated values were close to the results obtained in transient laboratory method. Using this method, the thermal efficiency of the compacted soil can be verified in the lifetime of the storage system. To ensure the structure stability, long-term mechanical response of these systems subjected to monotonic and cyclic temperature variations should be investigated. To achieve this aim, using temperature-controlled oedometric and direct shear devices, consolidation and shear parameters of the studied soil at different monotonic (5, 20, and 50 °C) and cyclic (5 to 50 °C) temperatures were investigated. The results of temperature-controlled oedometric tests showed that the effect of the temperature variation is more pronounced under vertical pressures higher than the preconsolidation pressure. The compression and swelling indexes could be considered independent of temperature variations. Therefore, the overall settlement of the embankment due to thermal variation near the heat exchangers could be considered negligible. The results of temperature-controlled direct shear tests showed that the temperature variations (monotonic heating or cooling, or temperature cycles) increased the cohesion which is beneficial for the bearing capacity and slope stability of embankments. These results can be directly used in the design of embankments to store thermal energy exposed to similar thermo-mechanical paths. Finally, the thermal performance of the compacted soil is verified using a numerical simulation considering the soil atmosphere interaction. Different depths installation of heat exchanger loops and different heat storage scenarios were simulated. The results showed that the compacted soil increases 8.5% the systems performance compared to the horizontal loop installation in the local soil. The results of two different scenarios show that an inlet fluid temperature of 50 °C in summer increases highly the system performance (13.7% to 41.4%) while the improvement is less significant (0% to 4.8%) for the ambient inlet temperature. Moreover, a deeper installation of horizontal loops increases the system performance. From the numerical simulation results can be concealed that the embankment is in interaction with the atmosphere from its upper and lateral surfaces, the thermal efficiency of the structure could be affected due to heat losses. Therefore, it is preferable to place the heat exchangers away from the top and side surfaces

Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Management
In a world where the business landscape is changing as a consequence of the increasing importance of the digital area, the financial and reporting environment are also being reshaped, resulting in several challenges for audit committees and auditors. Assurance services are responsible for transmitting clear information and nowadays auditing has become an increasingly demanding task. In this regard, detection fraud is one of the areas explored by assurance, including studying the risk of companies committing fraud, and also the hypothesis of employees committing these kinds of misconduct. In fact, in the modern digital world, it becomes easier to commit fraud, therefore it is quite relevant to study its impacts and causes. Theories related to the fraud triangle as well as fraud related to the utilities sector will be explored and will be the basis of this study. Having this in mind, this study aims to identify the most significant variables in detecting the risk of fraud in company purchases, using some companies’ data in order to help this analysis. Having this in mind, the conclusions about the selected model were to consider two different approaches: Keeping All Variables and Removing Some Variables. For the first option, the best model was Linear Regression and for the other one was Neural Networks, considering Misclassification Rate and Captured Response as significant statistics. Thus, this study aims to fill the gap of information and studies in this area by providing relevant inputs that may be used on other studies in this field.

Dissertation presented as partial requirement for obtaining the Master’s degree in Statistics and Information Management, with a specialization in Risk Analysis Management
The insurance activity offers their clients the opportunity to transfer risk in exchange of a fixed insurance premium. This premium should be enough to assure that the company will be able to respond to its possible future liabilities. These liabilities are, obviously, unknown when the premium is calculated, what means that they should be estimated a priori. However, different people belong to different risk classes, which leads to one of the big challenges of the insurance activity: the definition of a technically balanced tariff, or rate. This dissertation has the objective to develop a pricing analytical model for Motor insurance using business factors and insured environment variables. In order to do so we need to treat our data and do exploratory analysis. After these preliminary steps we will construct two different models, one for claims’ frequency and another for claims’ severity using linear regressions in data mining. At the end of this work we pretend to indicate which variables explain better our data. The data we are using in this dissertation was provided by a Portuguese insurance company.

碩士
國立臺灣科技大學
企業管理系
94
Management power is the most important and sparse resource in the organization, especially in the changeable century. We need to expand new market, to break through technology and to deal properly with all kinds of complicated relationship. It is important to select a superior manager to lead organization in the competitive environment. The manager bound to penetrate management innovation and to create the own blue ocean. In the recently, the government positively promotes financial reformation strategy which results in financial holding company's merger behavior. It is important to select a suitable middle manager to convey organization strategy and promote culture fusion. By reviewing literature and consulting with fourteen marketer, this study is constructed a set of the financial holding company’s middle managers selection indexes which include six main appraisal criteria and twenty-four secondary appraisal criteria. Besides, this study also analyzes the weights of all appraisal criteria by the Fuzzy Analytic Hierarchy Process (FAHP). The result shows that personality has the highest weight. In general, the first three highest weight include initiative learning, emotion management and crisis management. The purposes to construct this selection model can not only afford some references to decision makers but also encourage candidate to build up immense capability.

碩士
世新大學
傳播管理學研究所(含碩專班)
103
Due to the global market competition, companies in Taiwan must to transform industry to keep the competitiveness so enterprises are attaching greater importance on build up “branding”. “Design” is the most important part of branding, and it’s also the key to increase competitiveness of the nation. The value of design industry increase stable year by year. For the design industry development, there are many different type of design companies that offer various of design service. Since select design company is a multiple criteria decision, it is difficult for enterprises that have design needs to select the most appropriate design company. This dissertation adopts the “Modified Delphi Method” to find out the suitable evaluative criteria of selecting design company. It aims to find out the suitable evaluative criteria of selecting design company based on senior designer and advertiser’s perceptions. And developing a model by “Analytic Hierarchy Process”(AHP) aims to determine the relative weights of evaluative criteria, and it also ranks the alternatives as well as selects the most appropriate design company. The result showed the suitable evaluative criteria of selecting design company, and developed a new select model that can provide a company with a more objective view in terms of selecting design company.

碩士
朝陽科技大學
資訊管理系
105
Due to the operating variables severe increasingly, the complex environment is difficult to predict by traditional industries. In addition, young generations prefer the technology industry and service industry, which attracted a lot of talent. Many compaines are faced old employee or master retired situation, as well as the experience of these senior employees and knowledge assets can be successfully passed down. The problems of experienced staff of traditional industries have emerged by employees aging and a shortage of talent. Because of advances in information technology, the traditional industries will be changed. Through knowledge management, interception and accumulation, and the application of knowledge and innovation by enterprise, the standard and goal of the enterprise in the manufacturing and processing of products will be more easily achieved. In this study, the case of traditional industry sector, a venture company has more than a decade, has four major problems: the old master dying, the old tool cannot pass on, youth are unwilling to invest and do not have good knowledge management. With the development of science and technology, the concept of customer oriented service and the thinking of globalize economy had affected different industries rapidly. In this study, the Analytic Hierarchy Process (AHP) is used to help the case traditional industry to inherit the business intelligent of the enterprises, in order to enhance the competitiveness of company.

碩士
世新大學
傳播管理學研究所(含碩專班)
104
Due to constantly increasing population of internet, public habits of using media has changed a lots .It’s also making amazing consumer behavior data. Currently, in a competitive market environment, companies want to obtain the newest business intelligence, and using consumer data to make a strategic plan, the only thing companies can do is to cooperate with professional market research company, so that companies will solve the problem of running brand effectively. Therefore, selecting the favorable market research company is an important part. This study using a viewpoint of market research company and Brands, intending to develop a model of select the best market research company. This study established the model divided into two sections, the first part is through the relevant literature and Modified Delphi Method to find the best selection criteria for Marketing Research company, next, through Analytic Hierarchy Process (AHP) to determine the relative weights of the criteria. Second part is uses the Grey Relational Analysis (GRA) to ranks the alternatives and selects the appropriate Marketing Research company. Finally with Marketing and Consulting company as an example, using this model to empirical research. The results showed the emphasis standards of Marketing Research company has organization and human resources, skills of marketing research application tools, operational skills of marketing research, customer service and innovation capability. Overall, this research provides a new model for selecting the Marketing research campany, in addition to providing a reference basis for decision makers, and expect to have a substantive contribution in practice.

碩士
世新大學
傳播管理學研究所(含碩專班)
97
This study develops a model for selecting outsourcing dramas company. First, the proposed model adopts the “Modified Delphi Method” to find out suitable evaluative criteria for selecting outsourcing dramas companies. Next, the model uses the “Analytic Hierarchy Process (AHP)” to determine the relative weights of evaluative criteria, then ranks the alternatives and selects the optimum outsourcing dramas company. Additionally, a Taiwanese terrestrial TV station is used herein as an example of how an outsourcing dramas company can be selected using this model. The results indicated that concerns think highly of criteria in order are program producing company perspective, organization property perspective, marketing perspective, the ability of implement perspective, industrial environment perspective. Finally, the model adopts the “Sensitivity Analysis” to inquire into as criteria weights change of evaluative factor, how other evaluative factors are relative change degrees. The results indicated that when the partner of international of industrial environment enhances 26.5%, then priority sequence of the substitute project would change. Additionally, when the owning famous actors and leading the trend of the drama market of the sub-criteria change its weights, then priority sequence of the substitute project would change. The proposed model helps enterprises to effectively select outsourcing dramas company, making it highly applicable for academia and commerce.

碩士
國立中央大學
工業管理研究所在職專班
102
Due to energy decreasing and industrialized countries are polluting the global environment causing the climate dramatic changes, the government thus began to develop rail industry and construct the rail transport infrastructure to reduce using in the energy, carbon dioxide emissions, and the impact on the global environment. However, Taiwan began to build rail infrastructure , due to the limitations of past market demand resulting in industrial technology and supply chain unable to support large-scale construction project, only through the assistance of foreign track manufacturers or track consultants to provide technical and equipment to help Taiwan build rail transport system. After the commencement of operation of the track built up through BOT or by Taiwan local government, the equipment gradually needs to be maintained, and the consumable parts must be replaced. Particularly in the rail project, vehicle parts are in enormous quantities and the procurement cost is hard to be reduced due to the limitation of sole supplier. In order to solve the problem of a deficient supplier source, the railway company to, began to develop alternative products. Nevertheless, due to the selection of suppliers lacks of a thorough consideration, the result of supplier development often fails that leads to a loss. Therefore, this study will explore the impact factor of supplier selected by the railway transport operations for an alternative product development, and take the example of the pantograph components used in rail vehicles. Invite experts to investigate the factors that influence supplier through Delphi method and then use the right vendor analysis and statistical factors influence weight of AHP, statistical results of the indicators, intended to solve the existing problems faced by the railway company in the selection of suppliers︰ 1.To reduce development risk of failure and the results of statistical indicators can facilitate the decision-makers quickly making a decision. 2.This paper discusses the analysis method used in the future to serve Lee issues on the development of other components.

碩士
國立高雄應用科技大學
商務經營研究所
97
Abstract: The steel industry plays an important role in the economic development of Taiwan. Under continuous industries advancement and leader role of economics, the steel industry relies on its high performance teams that consist of outstanding talents for competitiveness. However, the more clustering of talents is not guarantee for high performance, as the world changes getting faster and faster, the role manager played is becoming more and more important. Therefore, the selection of the manager is an issue to the organization and the human resource manager. This study used Fuzzy Delphi Method and Analytic Network Process (ANP) to analyze and investigate the case company. The findings are as follows: 1. Constructing the managerial talent assessment indices It consisted of 3 main indicators and 9 sub–indicators, and used the Fuzzy Delphi Method to discuss the managerial talent assessment indices of the case company. 2. Establishing weight system for the managerial assessment indices The results of the weight system show the relative importance of the assessment indices by using ANP that considered dependent relate ship between indices corresponding practice. The ANP method can reduce uncertain situation in decision making process and provide the reference for implementing related management activities of managerial talent and selecting managers. 3. Seeking excellence and caring encouragement are the two key important managerial talent indices for middle management in case company. 4. The result of the empirical study is accordant with the managerial talent assessment model The target of this empirical study is one steel company. Top executives of the company greatly recognize this analytical result of the main assessment indicators and sub–indicators. They think this research model having highly explanative capacity and can take as a reference for the future related managerial activities. Keywords: Managerial Talent Assessment, Fuzzy Delphi Method, Analytic Network Process, Human Resource Management, Selection

碩士
世新大學
傳播管理學研究所(含碩專班)
103
As consumers could encounter more and more types of media, communication channel is omnipresent. Today, under circumstances of the media environment is complex, marketing the division of labor segmentation, advertisers use marketing tool has not only limited use of traditional media advertising, in recent years, the rapid rise of Integrated Marketing Communications, so that enterprises have to face Integrated Marketing Communications brings influence and gradually make changes in the marketing strategy. And how to struggle customers and case for Integrated Marketing Communications company, and brought more revenue and popularize, these things is need an professionals to perform. Therefore, this study intends to develop a model to assist the Integrated Marketing Communications company how to select the best business managers. This study established the model divided into two sections, the first part is through the relevant literature and Modified Delphi Method tofind the best selection criteria for Integrated Marketing Communications company business manager, next, through Analytic Hierarchy Process (AHP) to determine the relative weights of the criteria. Second part is uses the Grey Relational Analysis (GRA) to ranks the alternatives and selects the appropriate Business manager. Finally with Integrated Marketing Communications company as an example, using this model to empirical research.The results showed the emphasis standards of Integrated Marketing Communications company has professional competence, personal qualities, creative thinking, social skills and self-regulation. Overall, this research provides a new model for selecting the Business manager, in addition to providing a reference basis for decision makers, and expect to have a substantive contribution in practice.

碩士
國立中山大學
人力資源管理研究所
98
Taiwanese businesses assumed an important role in global supply chain after World War II. But numerous Taiwanese enterprises turn themselves into ODM-oriented ones for more profit because OEM only generates micro profit after companies from China and other developing countries have forged into this market since 1990s. The key to successful transformation lies in capability of independent design and development product. Therefore, developing and improving the capability of R&D talent is the priority to transformation into ODM-oriented company and critical for Taiwan to replay a major role in global supply chain. Therefore, based on competency, we adopted Fuzzy Delphi Method and Analytic Network Process (ANP) to design expert questionnaire and invited R&D experts in ODM-oriented companies to provide advice. The aim was to discover the necessary competencies of R&D employees and weight of each competency in order to construct a competency selection model for R&D employees in ODM-oriented companies and to serve as a reference point for more efficient selection and development of R&D workers. 1.Applying Fuzzy Delphi Method to find out critical competency indicators that is the source of constructing competency selection hierarchy. 2.Applying ANP which is characterized by analysis dependence on or feedback of each indicator to calculate the weight of each competency indicator and constuct a weighted competency selection model for R&D employees in ODM-oriented companies. 3.Confirming that dependence on or feedback of each indicator influences the weight of each indicator. 4.Proving that competency selection model for R&D employees effectively select qualified employees.

碩士
國立臺灣科技大學
工業管理系
107
This research aims to explore an objective mechanism for those institutes or parties that are entitled to conduct supervisions for selecting the key functions of the supply chain supervisor. Through ranking the key criteria by the Analytic Hierarchy Process (AHP), it is liable to enhance the managerial capability of the supervisor. Base on the AHP, this research establishes assessment indicators by conducting review of relevant literatures and results of the expert questionnaire survey. This research applies modified Delphi method to decide the appropriateness of the indicators. These indicators are then categorized into three main dimensions and eight criteria. Through AHP, these dimensions and criteria are weighted and ranked in sequence by conducting pairwise comparison in people selection. The sequence of indicators is the possible references in ruling out a mechanism of assessment. According to the AHP results, this research suggests that under the three skills of the main dimensions, conceptual skills dimension (0.421) is weighted as of primary importance, followed by human skills dimension (0.392) and technical skills dimension (0.187). Among eight criteria in the second level of AHP, leadership competence (0.202) is ranked as the top one. Those ranked behind in sequence are: teamwork (0.168), communication and coordination (0.140), promotion and integrate action (0.136), organizational performance orientation (0.122), change management (0.084), leadership inspiration (0.084), job skill management (0.065). The top five criteria options above account for around 75% of the total eight indexes.

碩士
國立中正大學
勞工關係學系暨研究所
100
In the face of worldwide competition and rapid changes of industry structure, utting emphasis on "human resource management and application" is the crucial to improve "competitive advantage" of enterprises. The R&D talent who have highly specialty and ability are the foundation of enterprise innovation and earning profits. That is competition advantage, and therefore, the need of searching and developing this kind of people is a major challenge to deal with in the near future for the corporate case. Through competency model, recruiting and training R&D employees have been viewed as one of the effective methods in the industrial and academic circles. The main purpose of the study is understanding what R&D employees of WLAN industry should meet the requirement. Base on the Competence Theory and the viewpoint of Core Competence, this research collect opinions from R&D experts and scholars through applying Fuzzy Delphi Method and Analytic Network Process(ANP), the essential competency for R&D employees in WLAN industry is constructed. Furthermore, and empirical study based on the above competence-based model to select the best suitable R&D employees of the WLAN industry. The results of this study are as follows: 1. To establish the critical competency items and definition for the R&D employees of WLAN industry, which are Problem Analyzing and Solving, Teamwork and Cooperation, Initiative and Active, Work Enthusiasm and Initiative, Innovation and Achievement Orientation, Customer Service Orientation, Agility and Flexibility, Self-discipline and so on. And the hierachical framework of the competency of selection criteria is established. 2. In considetation of the dependent relationships among principles of competency,this study utilixes.Analytic Network Process to systematize decompostition and quantify judgment, in order to firmly establish the weight of competency indicators, as well as to consturct a compentence-based selection model of the R&D employees in the WLAN industry with weights standard. 3. Evidence collected by the expert advice and the use of analytic network process for analysis, are the functions of the weights, from the highest to low: Problem Analyzing and Solving is 0.221,Teamwork and Cooperation is 0.151, Initiative and Active is 0.133, Work Enthusiasm and Initiative is 0.128, Innovation and Achievement Orientation is 0.118, Customer Service Orientation is 0.094, Agility and Flexibility is 0.080, Self-discipline is 0.076.