Assembly Line Balancing Under Uncertain Task Time and Demand Volatility: 8 - Rilegato

Libro 8 di 20: Engineering Applications of Computational Methods

Li, Yuchen

 
9789811942143: Assembly Line Balancing Under Uncertain Task Time and Demand Volatility: 8
Rilegato
ISBN 10: 9811942145 ISBN 13: 9789811942143
Casa editrice: Springer Nature, 2022

Sinossi

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.



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Informazioni sull?autore

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.


Dalla quarta di copertina

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.


Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer Nature
Data di pubblicazione
2022
Lingua
Inglese
ISBN 10 
9811942145
ISBN 13 
9789811942143
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
164
Contatto del produttore
non disponibile
Persona responsabile
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

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Heidelberg
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Germania

Altre edizioni note dello stesso titolo

9789811942174: Assembly Line Balancing under Uncertain Task Time and Demand Volatility: 8

Edizione in evidenza

ISBN 10:  981194217X ISBN 13:  9789811942174
Casa editrice: Springer, 2023
Brossura