Relevant bibliographies by topics / Automotive Dispatching Mathematical models

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Automotive Dispatching Mathematical models'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Automotive Dispatching Mathematical models"

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Yüksel, Damla, Damla Kızılay, Hande Öztop, and Sinem Özkan. "Mathematical Models for Milk Dispatching Problem." Journal of Transportation and Logistics 6, no. 2 (October 31, 2021): 217–35. http://dx.doi.org/10.26650/jtl.2021.940506.

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Moradi-Afrapoli, A., S. Upadhyay, and H. Askari-Nasab. "Truck dispatching in surface mines -Application of fuzzy linear programming." Journal of the Southern African Institute of Mining and Metallurgy 121, no. 9 (September 17, 2021): 1–8. http://dx.doi.org/10.17159/2411-9717/522/2021.

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Material handling in surface mines accounts for around 50% of the operational cost. Optimum truck dispatching plays a critical role in the reduction of this operational cost in truck and shovel surface mines. Researchers in this field have presented several mathematical models to solve the truck dispatching problem optimally. However, a critical survey of the literature has shown that three significant drawbacks exist in the available truck dispatching models. The published models underestimate the importance of the interaction between truck fleet, shovel fleet, and the processing plants. They also disregard goals set by strategic-level plans. Moreover, none of the available models account for the uncertainty associated with the input parameters. In this paper we present a new truck dispatching model that covers all of these drawbacks, using a fuzzy linear programming method. The performance of the developed model was evaluated through implementatin in an active surface mining operation. The results show a significant improvement in production and fleet utilization.
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Previati, Giorgio, Massimiliano Gobbi, and Giampiero Mastinu. "Mathematical models for farm tractor rollover prediction." International Journal of Vehicle Design 64, no. 2/3/4 (2014): 280. http://dx.doi.org/10.1504/ijvd.2014.058486.

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Козин, A. Kozin, Хмелев, and R. Khmelev. "SIMULATION OF FAULTS IN AUTOMOTIVE ENGINES." Alternative energy sources in the transport-technological complex: problems and prospects of rational use of 2, no. 2 (December 17, 2015): 440–44. http://dx.doi.org/10.12737/19306.

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The modern stage of theoretical research in the automotive industry are characterized by extensive use of mathematical models, the complexity of which is constantly who will melt. Mathematical simulation model allows to obtain an extensive statistical material on changes in the numbers of working processes, as vehicle and car "as a whole" in the event of malfunctions or failure
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Dimitrova, Emiliya. "Models of Objects of Control in SCADA System for Monitoring and Operational Dispatching in Sofia Metropolitan." Information Technologies and Control 11, no. 3 (September 1, 2014): 30–35. http://dx.doi.org/10.2478/itc-2013-0013.

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Abstract Supervisory Control and Data Acquisition systems (SCADA) are often used in some important industry sectors, such as production and distribution of electricity, transport management, etc. The purpose of this paper is to establish models of SCADA system, DISIM that is incorporated into the Central Dispatching Station of Sofia Metropolitan. Its functions are related to remote visualization and management of the structures and devices in both directions - Trains operation (DISIM-V) and Power transmission system (DISIM-Å). The suggested structural models and mathematical description are used as a basis for realization of a simulator of both SCADA systems
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Jovanović, Nenad. "Angažovanje generatora i potrebe balansnih rezervi u prisustvu intermitentnih OIE: Studija slučaja elektroenergetskog sistema Srbije." Energija, ekonomija, ekologija XXIV, no. 3 (2022): 16–24. http://dx.doi.org/10.46793/eee22-3.16j.

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Intermittent electricity generation of the various renewable energy sources sets additional burden on generation unit dispatching and reserve planning in day-ahead electricity market. The conventional unit commitment models which include rump-up and rump-down limits are usually presented with stepwise mathematical functions without clear distinction between power and energy. This paper presents a case study of generation unit dispatching planning approach for the case of pricewise-linear functions from one time interval to another, taking into account actual ramping trajectories thus providing more efficient reserve scheduling particularly during generators’ start-up and shut-down processes. For the representation of reserve schedules, the 10-min and 30-min ramp capabilities of the generation units are assumed where they are obliged to provide secondary, tertiary and offline-tertiary reserves depending on their technical capabilities. The Serbian power system case study represents a 24-hour unit commitment planning and up/down secondary and tertiary reserve requirements during a scarcity event when reserve flexibility of neighbouring power systems cannot be utilised. Formulation of the optimisation mathematical model is performed via GAMS, the General Algebraic Modelling System, and CPLEX optimiser is used for problem optimisation purposes.
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Zhang, Dalin, Yi Xu, Yunjuan Peng, Yumei Zhang, Daohua Wu, Hongwei Wang, Jintao Liu, Sabah Mohammed, and Alessandro Calvi. "Prediction of Train Station Delay Based on Multiattention Graph Convolution Network." Journal of Advanced Transportation 2022 (February 21, 2022): 1–12. http://dx.doi.org/10.1155/2022/7580267.

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Train station delay prediction is always one of the core research issues in high-speed railway dispatching. Reliable prediction of station delay can help dispatchers to accurately estimate the train operation status and make reasonable dispatching decisions to improve the operation and service quality of rail transit. The delay of one station is affected by many factors, such as spatiotemporal factor, speed limitation or suspension caused by strong wind or bad weather, and high passenger flow caused by major holiday. But previous studies have not fully combined the spatiotemporal characteristics of station delay and the impact of external factors. This paper makes good use of the train operation data, proposes the multiattention mechanism to capture the spatiotemporal characteristics of train operation data and process the external factors, and establishes a Multiattention Train Station Delay Graph Convolution Network (MATGCN) model to predict the train delay at high-speed railway stations, so as to provide references for train dispatching and emergency plan. This paper uses real train operation data coming from China high-speed railway network to prove that our model is superior to ANN, SVR, LSTM, RF, and TSTGCN models in the prediction effect of MAE, RMSE, and MAPE.
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Dement'eva, Marina, and Anastasiya Dement'eva. "Modeling work of the dispatching service of high-rise building as queuing system." E3S Web of Conferences 33 (2018): 03067. http://dx.doi.org/10.1051/e3sconf/20183303067.

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The article presents the results of calculating the performance indicators of the dispatcher service of a high-rise building as a queuing system with an unlimited queue. The calculation was carried out for three models: with a single control room and brigade of service, with a single control room and a specialized service, with several dispatch centers and specialized services. The aim of the work was to investigate the influence of the structural scheme of the organization of the dispatcher service of a high-rise building on the amount of operating costs and the time of processing and fulfilling applications. The problems of high-rise construction and their impact on the complication of exploitation are analyzed. The composition of exploitation activities of high-rise buildings is analyzed. The relevance of the study is justified by the need to review the role of dispatch services in the structure of management of the quality of buildings. Dispatching service from the lower level of management of individual engineering systems becomes the main link in the centralized automated management of the exploitation of high-rise buildings. With the transition to market relations, the criterion of profitability at the organization of the dispatching service becomes one of the main parameters of the effectiveness of its work. A mathematical model for assessing the efficiency of the dispatching service on a set of quality of service indicators is proposed. The structure of operating costs is presented. The algorithm of decision-making is given when choosing the optimal structural scheme of the dispatching service of a high-rise building.
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Junevičius, Raimundas, and Marijonas Bogdevičius. "MATHEMATICAL MODELLING OF NETWORK TRAFFIC FLOW." TRANSPORT 24, no. 4 (December 31, 2009): 333–38. http://dx.doi.org/10.3846/1648-4142.2009.24.333-338.

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The article describes mathematical models of traffic flows to initiate different traffic flow processes. Separate elements of traffic flow models are made in a way to be connected together to get a single complex model. A model of straight road with different boundary conditions is presented as a separate part of the network traffic flow model. First testing is conducted in case the final point of the whole modelled traffic line is closed and no output from that point is possible. The second test is performed when a constant value of traffic flow speed and traffic flow rate is entered. Mathematical simulation is carried out and the obtained results are listed.
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Klyuev, R. V., E. R. Guzueva, and Yu N. Bulatov. "Mathematical modeling of power consumption based on rank analysis." Journal of Physics: Conference Series 2176, no. 1 (June 1, 2022): 012090. http://dx.doi.org/10.1088/1742-6596/2176/1/012090.

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Abstract In the article, based on the application of the rank analysis of the technocenosis, mathematical modeling of electricity consumption by consumers for the production of hard alloys is carried out. Two methodological levels of research in the field of energy-saving and power consumption are presented. At the same time, it was found that rank analysis allows you to streamline information, effectively predict power consumption by individual objects to identify dynamics, and visually represent objects with abnormal power consumption. The analysis of the results obtained confirms the efficiency of using the H-distribution for obtaining mathematical models of power consumption of Noah and Pointer castes in the production of hard alloys. For the first time, the regularity of changes in electricity consumption by technological equipment was established, which is described by an adequate mathematical model in the form of a damped harmonic function. The resulting model is recommended for use in an automated dispatching control system for electricity consumption for the purpose of short-term forecasting of electricity consumption.
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Dissertations / Theses on the topic "Automotive Dispatching Mathematical models"

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Liu, Shi-Qiang. "Modelling and solving train scheduling problems under capacity constraints." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/37181/1/Shi-Qiang_Liu_Thesis.pdf.

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Many large coal mining operations in Australia rely heavily on the rail network to transport coal from mines to coal terminals at ports for shipment. Over the last few years, due to the fast growing demand, the coal rail network is becoming one of the worst industrial bottlenecks in Australia. As a result, this provides great incentives for pursuing better optimisation and control strategies for the operation of the whole rail transportation system under network and terminal capacity constraints. This PhD research aims to achieve a significant efficiency improvement in a coal rail network on the basis of the development of standard modelling approaches and generic solution techniques. Generally, the train scheduling problem can be modelled as a Blocking Parallel- Machine Job-Shop Scheduling (BPMJSS) problem. In a BPMJSS model for train scheduling, trains and sections respectively are synonymous with jobs and machines and an operation is regarded as the movement/traversal of a train across a section. To begin, an improved shifting bottleneck procedure algorithm combined with metaheuristics has been developed to efficiently solve the Parallel-Machine Job- Shop Scheduling (PMJSS) problems without the blocking conditions. Due to the lack of buffer space, the real-life train scheduling should consider blocking or hold-while-wait constraints, which means that a track section cannot release and must hold a train until the next section on the routing becomes available. As a consequence, the problem has been considered as BPMJSS with the blocking conditions. To develop efficient solution techniques for BPMJSS, extensive studies on the nonclassical scheduling problems regarding the various buffer conditions (i.e. blocking, no-wait, limited-buffer, unlimited-buffer and combined-buffer) have been done. In this procedure, an alternative graph as an extension of the classical disjunctive graph is developed and specially designed for the non-classical scheduling problems such as the blocking flow-shop scheduling (BFSS), no-wait flow-shop scheduling (NWFSS), and blocking job-shop scheduling (BJSS) problems. By exploring the blocking characteristics based on the alternative graph, a new algorithm called the topological-sequence algorithm is developed for solving the non-classical scheduling problems. To indicate the preeminence of the proposed algorithm, we compare it with two known algorithms (i.e. Recursive Procedure and Directed Graph) in the literature. Moreover, we define a new type of non-classical scheduling problem, called combined-buffer flow-shop scheduling (CBFSS), which covers four extreme cases: the classical FSS (FSS) with infinite buffer, the blocking FSS (BFSS) with no buffer, the no-wait FSS (NWFSS) and the limited-buffer FSS (LBFSS). After exploring the structural properties of CBFSS, we propose an innovative constructive algorithm named the LK algorithm to construct the feasible CBFSS schedule. Detailed numerical illustrations for the various cases are presented and analysed. By adjusting only the attributes in the data input, the proposed LK algorithm is generic and enables the construction of the feasible schedules for many types of non-classical scheduling problems with different buffer constraints. Inspired by the shifting bottleneck procedure algorithm for PMJSS and characteristic analysis based on the alternative graph for non-classical scheduling problems, a new constructive algorithm called the Feasibility Satisfaction Procedure (FSP) is proposed to obtain the feasible BPMJSS solution. A real-world train scheduling case is used for illustrating and comparing the PMJSS and BPMJSS models. Some real-life applications including considering the train length, upgrading the track sections, accelerating a tardy train and changing the bottleneck sections are discussed. Furthermore, the BPMJSS model is generalised to be a No-Wait Blocking Parallel- Machine Job-Shop Scheduling (NWBPMJSS) problem for scheduling the trains with priorities, in which prioritised trains such as express passenger trains are considered simultaneously with non-prioritised trains such as freight trains. In this case, no-wait conditions, which are more restrictive constraints than blocking constraints, arise when considering the prioritised trains that should traverse continuously without any interruption or any unplanned pauses because of the high cost of waiting during travel. In comparison, non-prioritised trains are allowed to enter the next section immediately if possible or to remain in a section until the next section on the routing becomes available. Based on the FSP algorithm, a more generic algorithm called the SE algorithm is developed to solve a class of train scheduling problems in terms of different conditions in train scheduling environments. To construct the feasible train schedule, the proposed SE algorithm consists of many individual modules including the feasibility-satisfaction procedure, time-determination procedure, tune-up procedure and conflict-resolve procedure algorithms. To find a good train schedule, a two-stage hybrid heuristic algorithm called the SE-BIH algorithm is developed by combining the constructive heuristic (i.e. the SE algorithm) and the local-search heuristic (i.e. the Best-Insertion- Heuristic algorithm). To optimise the train schedule, a three-stage algorithm called the SE-BIH-TS algorithm is developed by combining the tabu search (TS) metaheuristic with the SE-BIH algorithm. Finally, a case study is performed for a complex real-world coal rail network under network and terminal capacity constraints. The computational results validate that the proposed methodology would be very promising because it can be applied as a fundamental tool for modelling and solving many real-world scheduling problems.
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Lee, Moonsu. "Analytical models to evaluate system performance measures for vehicle based material-handling systems under various dispatching policies." Diss., Texas A&M University, 2005. http://txspace.tamu.edu/bitstream/handle/1969.1/2352/etd-tamu-2005A-INEN-Lee.pdf?sequence=1.

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Adedeji, Adeyemi Charles. "Enhancing the role of the Kaizen suggestion tool in South African lean automotive companies of the Eastern Cape." Thesis, Nelson Mandela Metropolitan University, 2011. http://hdl.handle.net/10948/d1008157.

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The Toyota manufacturing system, aptly referred to as Lean manufacturing, has received a reasonable appreciation and awareness over the past decade in South African industry. This production phenomenon constitutes an organizational culture that encourages world-class production success through the liberation of factory resources, while employees are empowered and encouraged to contribute ideas for the improvement of processes and products. However, despite lean awareness and the crucial role of employee participation in the suggestion of ideas in world-class organizations, the performance level of lean manufacturing in South African industry is largely devoid of the Kaizen suggestion tool, particularly in the automotive companies of the Eastern Cape. The aim of this research was to proffer appropriate recommendations, improved awareness, understanding and practice for the improvement of the Kaizen suggestion principle in the automotive companies of the Eastern Cape. The research primarily focused on the ‘management/employees’ paradigm within the organisational context. The methodology employed in the study included a thorough review of the relevant literature and a questionnaire, which was developed and administered to both the management and employees of the thirty automotive components suppliers in Eastern Cape. The target companies constituted the units of analyses and therefore provided the opportunity for a detailed investigation of the links between management and employees as well as a submission of ideas for operational and organisational processes as established in the literature review. Epistemologically, the research is objectivist and paradigmically, positivist. However, some qualitative aspects of the data were relevant to the study and, therefore, were used in a complementary manner. The case approach utilized mixed methods by applying a range of data collection techniques and evidence from multiple sources while the sampling technique was sequential, involving both purposive and stratified random sampling. The study reveals the apparent lack of a systematic mechanism for the practice and administration of the Kaizen suggestion tools in most Eastern Cape automotive companies. This demerit is found to have negatively affected maximum employee participation and involvement in organizational decision making within the Province. The study has established a basic level of awareness and understanding among employees / employers relations that the Kaizen suggestion scheme is a vital tool for delivering strategic objectives in the management of decision making and organizational growth. The study strongly advocates the inclusion of employee suggestion systems as part of the organizational process.
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Dogan, Deniz. "Numerical optimization for mixed logit models and an application." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/28190.

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Thesis (M. S.)--Industrial and Systems Engineering, Georgia Institute of Technology, 2008.
Committee Chair: Anton Kleywegt; Committee Co-Chair: Alexander Shapiro; Committee Member: Charles Rosa; Committee Member: Shabbir Ahmed; Committee Member: Sigrun Andradottir.
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Fan, Qin. "Hedonic Price Model for Light-Duty Vehicles: Consumers' Valuations of Automotive Fuel Economy." Fogler Library, University of Maine, 2009. http://www.library.umaine.edu/theses/pdf/FanQ2009.pdf.

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Du, Zhaobin, and 杜兆斌. "Area COI-based slow frequency dynamics modeling, analysis and emergency control for interconnected power systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B4175783X.

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Elahi, Behin. "Integrated Optimization Models and Strategies for Green Supply Chain Planning." University of Toledo / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1467266039.

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Dewez, Sophie. "On the toll setting problem." Doctoral thesis, Universite Libre de Bruxelles, 2004. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/211104.

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In this thesis we study the problem of road taxation. This problem consists in finding the toll on the roads belonging to the government or a private company in order to maximize the revenue. An optimal taxation policy consists in determining level of tolls low enough to favor the use of toll arcs, and high enough to get important revenues. Since there are twolevels of decision, the problem is formulated as a bilevel bilinear program.
Doctorat en sciences, Orientation recherche opérationnelle
info:eu-repo/semantics/nonPublished
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Sendon, Perez Juan Alejandro. "Risk minimization through metrology in semiconductor manufacturing." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEM022.

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Cette thèse consiste à analyser les différentes propriétés des ateliers de métrologie, proposer de nouvelles approches pour optimiser les taux d'échantillonnage et développer de nouvelles stratégies dynamiques de réduction des risques en fabrication des semi-conducteurs.Une analyse approfondie des ateliers de métrologie sur le site de Rousset de STMicroelectronics a été réalisée. Leurs propriétés physiques ainsi que leurs caractéristiques, comme la qualification des mesures, les stratégies d'échantillonnage et d’ordonnancement des lots et les niveaux de risque, sont prises en compte. De plus, une nouvelle procédure a été développée pour aider à déterminer quelle stratégie d'échantillonnage convient le mieux aux caractéristiques de l’atelier de métrologie et aux valeurs de risque.De nouvelles approches sont ensuite proposées pour optimiser les taux d'échantillonnage des différents types de machines de métrologie en respectant la capacité de métrologie et en prenant en compte des paramètres tels que les débits des machines de production et de métrologie et les probabilités de défaillance des machines de production. Les résultats montrent que la capacité de métrologie est mieux utilisée et que les machines de production sont contrôlées de manière efficace, en fonction de leurs caractéristiques, avec une priorité plus forte sur les machines critiques.Dans la dernière partie de la thèse, des modèles de simulation de plusieurs ateliers de métrologie sont développés. Ces modèles reproduisent le comportement des ateliers pour mieux les comprendre et évaluer l'impact d’améliorations qui sont proposées
This thesis consists in analyzing the different properties of metrology workshops, proposing novel approaches to optimize sampling rates and developing new dynamic strategies for risk reduction in semiconductor manufacturing.A thorough analysis of metrology workshops in the site of Rousset of STMicroelectronics has been carried out. Their physical properties and also their characteristics, such as measure qualification, lot sampling and dispatching strategy and risk levels, are considered. Also, a new procedure is developed that helps to determine which sampling strategy fits better according to the metrology workshop characteristics and risk values.New approaches are then proposed to optimize the sampling rates for different types of metrology tools respecting the metrology capacity and taking into account parameters such as throughput rates of process machines and metrology tools, and the failure probabilities of process machines. The numerical experiments show that the metrology capacity is better used and process machines are efficiently controlled, depending on their characteristics, paying more attention the critical machines.In the final part of the thesis, simulation models of several metrology workshops are developed. These models reproduce the behaviour of the workshops to better understand them and to evaluate the impact of proposed improvements
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Fonseca, João Manuel Silva. "Unrelated parallel machine scheduling problem: a cement industry case study." Master's thesis, 2018. http://hdl.handle.net/1822/56980.

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Dissertação de mestrado em Engenharia de Sistemas
This dissertation considers the problem of scheduling unrelated parallel machines, with unequal release dates and machine eligibility constraints, to minimize the total flow time of the system. It establishes an analogy between this problem and an existing process in the cement industry { the loading of trucks by the customers. Hence, it intends to find opportunities for improvement in the reduction of the customers' interaction times and in their experience inside the cement plants. To achieve this goal, three optimization models are proposed, one exact and two heuristics. Also, an extensive series of computational tests are carried out to compare the performance of the methods. The exact method, based on a mathematical formulation of the problem, requires a high computational time and it is incapable of dealing with large instances. Consequently, it is not a viable solution for an industrial sized problem. However, it contributes to a better understanding of the structure of the problem and to develop efficient heuristics. The heuristics, one based on dispatching rules and the other on a simulated annealing algorithm, show potential for the implementation in a real life scenario. Although simulated annealing gives considerably better solutions than the other heuristic, it takes more time to give results and it is more complex to implement. The dispatching rules based heuristic gives solutions almost instantly and more easily includes certain characteristics of the problem. In general, these methods improve the quality of service provided, reducing the overall time the customers are spending inside the cement plants. Thus, cement industry can and should use optimization models to improve their operations and the customers' experience.
Esta dissertação considera o problema de agendamento de máquinas paralelas não relacionadas, com datas de disponibilidades diferentes e restrições de elegibilidade, para minimizar o tempo total de fluxo do sistema. Esta estabelece também uma analogia entre este problema e um processo existente na indústria cimenteira - o carregamento de camiões pelos clientes. Assim, pretende encontrar oportunidades de melhoria na redução dos tempos de interação dos clientes e na sua experiência dentro das cimenteiras. Para atingir este objetivo, três modelos de otimização são propostos, um exato e duas heurísticas. Além disso, uma extensa série de testes computacionais é realizada para comparar o desempenho dos métodos. O método exato, baseado numa formulação matemática do problema, requer bastante tempo computacional e é incapaz de lidar com instâncias grandes. Consequentemente, não é uma solução viável para um problema de tamanho industrial. No entanto, contribui para uma melhor compreensão da estrutura do problema e para desenvolver heurísticas eficientes. As heurísticas, uma baseada em regras de despacho e a outra num algoritmo de simulated annealing, mostram potencial para uma implementação num cenário da vida real. Embora o simulated annealing ofereça soluções consideravelmente melhores do que a outra heurística, este necessita de mais tempo para fornecer resultados e é mais complexo de implementar. A heurística baseada em regras de despacho fornece soluções quase instantaneamente e pode incluir mais facilmente certas características do problema. Em geral, estes métodos melhoram a qualidade do serviço prestado, reduzindo o tempo total que os clientes gastam dentro das cimenteiras. Assim, a indústria cimenteira pode e deve usar modelos de otimização, para melhorar as suas operações e a experiência dos clientes.
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Books on the topic "Automotive Dispatching Mathematical models"

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Dethloff, Jan. Verallgemeinerte Tourenplanungsprobleme: Klassifizierung, Modellierung, Lösungsmöglichkeiten. Göttingen: Vandenhoeck & Ruprecht, 1994.

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Baechtel, John. Performance automotive engine math. North Branch, MN: CarTech, 2011.

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Performance automotive engine math. North Branch, MN: CarTech, 2011.

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Ganesan, Subra. Automotive systems engineering. Warrendale, PA: SAE International, 2011.

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Automotive Dynamics and Stability Conference (2000 Troy, Mich.). Proceedings of the 2000 Automotive Dynamics and Stability Conference. Warrendale, Pa: Society of Automotive Engineers, 2000.

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Gocałek, Andrzej. Modelowanie systemów opisujących funkcjonowanie przedsiębiorstwa transportu samochodowego. Gdańsk: Uniwersytet Gdański, 1985.

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Engineers, Society of Automotive, ed. Proceedings of the 2004 SAE Automotive Dynamics, Stability & Controls Conference. Warrendale, Pa: Society of Automotive Engineers, 2004.

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Wang, Guoliang. Gao su gong lu chang tu ke yun guan zhi zheng ce zhi tan tao. Taibei Shi: Zhonghua jing ji yan jiu yuan, 1988.

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W, Bunn Derek, and Farmer E. D, eds. Comparative models for electrical load forecasting. Chichester [West Sussex]: Wiley, 1985.

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Adam, Copeland. Prices, production, and inventories over the automotive model year. Cambridge, MA: National Bureau of Economic Research, 2005.

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Book chapters on the topic "Automotive Dispatching Mathematical models"

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Cañibano Álvarez, E., M. I. González Hernández, L. de Prada Martín, J. Romo García, J. Gutiérrez Diez, and J. C. Merino Senovilla. "Development of Mathematical Models for an Electric Vehicle With 4 In-Wheel Electric Motors." In Advanced Microsystems for Automotive Applications 2011, 13–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21381-6_2.

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Conference papers on the topic "Automotive Dispatching Mathematical models"

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Hernandez-Marquez, Eduardo, Ramon Silva-Ortigoza, Hind Taud, Griselda Saldana-Gonzalez, and Mariana Marcelino-Aranda. "New Mathematical Models for the DC/DC Boost Converter." In 2018 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE). IEEE, 2018. http://dx.doi.org/10.1109/icmeae.2018.00036.

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Hernandez-Marquez, Eduardo, Ramon Silva-Ortigoza, Jose Rafael Garcia-Sanchez, Mayra Antonio-Cruz, Hind Taud, Fernando Carrizosa-Corral, and Mariana Marcelino-Aranda. "Alternative Mathematical Models for the DC/DC Buck-Boost Converter." In 2017 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE). IEEE, 2017. http://dx.doi.org/10.1109/icmeae.2017.23.

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Rohde, Steve M., William J. Williams, and Mitchell M. Rohde. "Application of Advanced Signal Processing Methods to Automotive Systems Testing." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-59535.

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During the past twenty years there have been rapid developments in the creation and application of mathematical computer-based capabilities and tools (e.g., FEA) to simulate and synthesize vehicle systems. This has led to the concept of virtual product development. In parallel with the development of these tools, an equally sophisticated set of tools have been developed in the area of advanced signal processing. These tools, based upon mathematical and statistical modeling techniques, enable the extraction of useful information from data and have application throughout the entire vehicle creation process. Moreover, signal processing bridges the gap between the “virtual” and the “real” worlds — an extremely important concept that is changing the entire nature of what is thought of as “testing.” This paper discusses the use of advanced signal processing methods in vehicle creation with particular emphasis on its use in vehicle systems testing. Modern Time Frequency Analysis (TFA), a technique that was specifically designed to study transient signals and was in part pioneered by one of the authors (WJW), is highlighted. TFA expresses a signal jointly in time and frequency at very high resolution and as such can often provide profound insights. Applications of TFA to vehicle systems testing are presented related to Noise, Vibration, and Harshness (NVH) that enable sound quality analyses. For example, using TFA predictive models of consumer preferences for transient sounds that are useful to the automotive engineer in testing and modifying new vehicle subsystem designs are discussed. Other applications that are discussed deal with brake pedal feel, and characterizing vehicle crash signals. In the latter case TFA has resulted in some unique insights that were not provided by conventional statistical and mathematical analyses.
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Liu, Zeyu, and John Wagner. "Nonlinear Model Reduction for Automotive System Descriptions." In ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/dsc-24517.

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Abstract The mathematical modeling of dynamic systems is an important task in the design, analysis, and implementation of advanced automotive control systems. Although most vehicle control algorithms tend to use model-free calibration architectures, a need exists to migrate to model-based control algorithms which offer greater operating performance. However, in many instances, the analytical descriptions are too complex for real-time powertrain and chassis model-based control algorithms. Therefore, model reduction strategies may be applied to transform the original model into a simplified lower-order form while preserving the dynamic characteristics of the original high-order system. In this paper, an empirical gramian balanced nonlinear model reduction strategy is examined for the simplification process of dynamic system descriptions. The empirical gramians may be computed using either experimental or simulation data. These gramians are then balanced and unimportant system dynamics truncated. For comparison purposes, a Taylor Series linearization will also be introduced to linearize the original nonlinear system about an equilibrium operating point and then a balanced realization linear reduction strategy will be applied. To demonstrate the functionality of each model reduction strategy, two nonlinear dynamic system models are investigated and respective transient performances compared.
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Miscia, Giuseppe, Enrico Bertocchi, Luca D’Agostino, Andrea Baldini, Enrico Dolcini, and Angelo Narducci. "Composite Materials in Automotive: Improving Safety by Refining FEA Correlation." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-64564.

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In the last few years, the restrictive safety standards and the need for weight reduction have brought the crashworthiness research to focus on composite materials because of their high energy absortion-to-mass ratio. On the other hand, the possibility of obtaining predictive dynamic FEA models for these new materials is still an open issue: the present work aims at developing a methodology for the characterization of composite materials with particular interest for the head impact simulation. Composite materials behavior, defined through the mathematical models implemented in FEA codes, is very complex and requires a large amount of physical and numerical setting parameters. The majority of these parameters can be obtained by an experimental campaign that involves several kind of different tests. The presented methodology allows to obtain a good numerical-experimental correlation simply performing few tests which emulate the behavior of the component during the head impact event. A software tool based on a genetic optimization technique has been developed in order to determinate automatically the material properties values that guarantee the best numerical-experimental correlation.
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Chen, Yifan, Paul Stewart, Pietro Buttolo, and Feng Ren. "A Real-Time, Interactive Method for Fast Modification of Large-Scale CAE Mesh Models." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/dac-14268.

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Abstract An interactive mesh manipulation method is presented. Utilizing a Direct Surface Manipulation technique, the tool allows the user to define a specific region on an existing mesh model and modify the vertices within this region. Specific mathematical functions are applied to allow direct, precise, and coordinated modification of the vertices. The method was implemented on a prototype interactive graphics system and has demonstrated the capability to allow quick modification of large-scale automotive CAE models. One important benefit of the tool is to significantly shorten the time needed to perform CAE-based Design of Experiments (DoE), where a series of slightly different CAE mesh models must be generated in search for optimum design parameters.
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Venkatesan, J., S. Kumar, V. Anandram, S. Saikishan, and J. Vijaymanikandan. "Development of a Thermodynamic Model to Study the Behaviour of Reciprocating Air Compressor With Disc Valve Used in Automotive Braking System." In ASME 8th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2006. http://dx.doi.org/10.1115/esda2006-95293.

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Mathematical modeling is the process of designing a model of a real system and conducting experiments with it for the purpose of understanding the behaviour of the system. Mathematical simulation is widely used for investigating and designing the compressors. Investigations of the processes of reciprocating compressors using mathematical models is an effective tool by high development of computing technique, which enables complicated problems to be solved with a minimal number of simplifying assumptions. A considerable number of previous works has been done on the mathematical modeling and simulation. The aims of the present work are to construct a model which is easy to understand, easy to detect errors in the process of building a model and easy to compute a solution. This project presents a simplified and effective mathematical model for the estimation of reciprocating compressor performance using personal computers that can be easily handled. The effect of various physical parameters, like, clearance volume, cylinder diameter, connecting rod length, crank radius, valve lift and other dimensions, etc., and operating parameters, like, discharge pressure, compressor speed, etc., on thermodynamic behaviour of compressor in working condition has been analysed. The model has been developed for obtaining cylinder pressure, cylinder volume, cylinder temperature, valve lift and resultant torque at different crank angles and free air delivered and indicated power of the compressor.
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Sisca, Lorenzo, Alessandro Messana, Henrique de Carvalho Pinheiro, Alessandro Ferraris, Andrea Giancarlo Airale, and Massimiliana Carello. "Validation of a Numerical-Experimental Methodology for Structural Health Monitoring on Automotive Components." In ASME 2021 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/smasis2021-68159.

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Abstract In the recent years, the materials composing the traditional of aircrafts are being progressively replaced with lower density materials, as the Reinforced Plastics. The same trend has been highlighted in the Automotive field to assess the reduction of fuel consumption and CO2 emission. In order to achieve an optimization of maintenance a variety of on-board systems has been applied for on-line SHM based on piezoelectric transducers earned a particularly high interest for continuous monitoring on metallic and composite structures. The application of this system in automotive could enhance passenger safety, through the monitoring of the vehicle composite material structure health status. In this paper, six mathematical models for evaluating the electrical response of piezoelectric sensors have been implemented, with the aim of selecting the most effective model for damage identification. Experimental tests were carried out on three types of simpler specimens of different geometries made of different materials (steel, aluminum and carbon fiber). A correlation study has been carried on in order to support the positioning of sensors. The proposed numerical-experimental methodology is an essential foundation for the introduction of monitoring systems based on piezoelectric transducers in the Automotive sector.
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Saglio, Emilio, Ferruccio Mandorli, and Umberto Cugini. "Super-Finishing Tool Path Generation for Digitized Models Supported by Super-Finishing Form Feature Recognition." In ASME 1994 International Computers in Engineering Conference and Exhibition and the ASME 1994 8th Annual Database Symposium collocated with the ASME 1994 Design Technical Conferences. American Society of Mechanical Engineers, 1994. http://dx.doi.org/10.1115/cie1994-0399.

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Abstract The realization of sculptured shapes using CAD systems is still today a very complex and time consuming operation. For these reasons, design by physical modeling is still in use and remains in force in many industries (automotive, ski boots, sport articles). For the manufacturing of complex free-form surfaces, in situations in which it is more desirable to proceed from a physical model to a numerical definition rather than use mathematics to derive the physical part, copy milling techniques are widely used. This paper gives a brief overview about copy milling techniques for 3 axis copy milling machines, and proposes a feature based method to support an automatic tool path generation for the super-finishing phase. The proposed method is divided in two parts: super-finishing features recognition and tool path generation. Using copy milling techniques, the model of the object to be milled is obtained by digitizing. Therefore a global mathematical surface description of the model does not exist. In such a situation a model interpretation phase is required to recognize the super-finishing features and thus proceed to the tool path generation. A two step algorithm for super-finishing feature recognition on a digitized model is proposed: features arc recognized on the basis of the digitized point density and the normal vectors of the triangles generated by the surface reconstruction (based on Delaunay triangulation method). The tool path is then generated using a method based on the calculation of the Voronoi diagram on the area identified as super-finishing feature. The super-finishing feature recognition and tool path generation modules have been integrated as part of a more general CAM system for copy milling called HICAM. The architecture of such a system will be presented together with examples of solutions obtained by means of the use of the implemented prototype modules.
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Ajaj, M. A., A. M. Sharaf, S. A. Hegazy, and Y. H. Hossamel-deen. "Investigation of Control Algorithms for Semi-Active Suspension Systems Based on a Full Vehicle Model." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-63090.

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This paper presents a comprehensive investigation of automotive semi-active suspension control algorithms and compares their characteristics in terms of ride comfort and tire-road holding ability. Particular attention has been paid to the semi-active suspension systems fitted with a shock absorber of dual damping characteristics. Different mathematical models are presented to investigate the ride response considering both simplified and complex vehicle models. Numerical simulation has been carried out through the MATLAB/SIMULINK environment which aids the future development of controllable suspension systems to improve vehicle ride comfort. The results show a considerable improvement of the vehicle ride response using different schemes of semi-active suspension system in particular the modified groundhook control algorithm.
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