Assembly Line Balancing Under Uncertain Task Time and Demand Volatility - Couverture rigide
Livre 8 sur 20: Engineering Applications of Computational Methods
Synopsis
This book introduces several mathematical models in assembly line balancing based on stochastic programming and develops exact and heuristic methods to solve them. An assembly line system is a manufacturing process in which parts are added in sequence from workstation to workstation until the final assembly is produced. In an assembly line balancing problem, tasks belonging to different product models are allocated to workstations according to their processing times and precedence relationships among tasks. It incorporates two features, uncertain task times, and demand volatility, separately and simultaneously, into the conventional assembly line balancing model. A real-life case study related to the mask production during the COVID-19 pandemic is presented to illustrate the application of the proposed framework and methodology. The book is intended for graduate students who are interested in combinatorial optimizations in manufacturing with uncertain input.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Dr. Yuchen Li received his B.E. degrees in Systems Engineering from Beihang University, Beijing, China, in 2010, and the M.Sc. degree in Operations Research from Columbia University, New York, in 2012, and the Ph.D. degree in Industrial Engineering from Rutgers University, New Brunswick, in 2016. Since Nov. 2016, Dr. Li has been with the School of Economics and Management, Beijing University of Technology.
Dr. Yuchen Li is broadly interested in combinatorial optimization in manufacturing with particular emphasis on assembly line balancing area. His research generally involves the design of the intelligent production systems, applied mathematical modeling of manufacturing and industrial systems, and algorithm development.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Assembly Line Balancing under Uncertain Task Time and Demand Volatility
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Springer Nature Singapore Sep 2022, 2022
ISBN 10 : 9811942145
ISBN 13 : 9789811942143
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces several mathematical models in assemblylinebalancingbased on stochastic programming and develops exact and heuristic methods to solve them.An assembly line system is a manufacturing process in which parts are added in sequence from workstation to workstation until the final assembly is produced. In an assembly line balancing problem, tasks belonging to different product models are allocated to workstations according to their processing times and precedence relationships among tasks. It incorporates two features, uncertain task times, and demand volatility, separately and simultaneously, into the conventional assembly line balancing model.A real-life case study related to the mask production during the COVID-19 pandemic is presented to illustrate the application of the proposed framework and methodology. The book is intended for graduate students who are interested in combinatorial optimizations in manufacturing with uncertain input. 164 pp. Englisch. N° de réf. du vendeur 9789811942143
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Assembly Line Balancing under Uncertain Task Time and Demand Volatility
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ISBN 10 : 9811942145
ISBN 13 : 9789811942143
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Buch. Etat : Neu. Assembly Line Balancing under Uncertain Task Time and Demand Volatility | Yuchen Li | Buch | xii | Englisch | 2022 | Springer | EAN 9789811942143 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 121942743
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Assembly Line Balancing under Uncertain Task Time and Demand Volatility
Edité par
Springer Nature Singapore, Springer Nature Singapore Sep 2022, 2022
ISBN 10 : 9811942145
ISBN 13 : 9789811942143
Neuf
Couverture rigide
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Buch. Etat : Neu. Neuware -This book introduces several mathematical models in assembly line balancing based on stochastic programming and develops exact and heuristic methods to solve them. An assembly line system is a manufacturing process in which parts are added in sequence from workstation to workstation until the final assembly is produced. In an assembly line balancing problem, tasks belonging to different product models are allocated to workstations according to their processing times and precedence relationships among tasks. It incorporates two features, uncertain task times, and demand volatility, separately and simultaneously, into the conventional assembly line balancing model. A real-life case study related to the mask production during the COVID-19 pandemic is presented to illustrate the application of the proposed framework and methodology. The book is intended for graduate students who are interested in combinatorial optimizations in manufacturing with uncertain input.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 164 pp. Englisch. N° de réf. du vendeur 9789811942143
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