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Assembly-Line Balancing under Demand Uncertainty
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Assembly-Line Balancing under Demand Uncertainty/ by Celso Gustavo Stall Sikora.
Author:
Stall Sikora, Celso Gustavo.
Description:
XVIII, 178 p. 27 illus.online resource. :
Contained By:
Springer Nature eBook
Subject:
Operations research. -
Online resource:
https://doi.org/10.1007/978-3-658-36282-9
ISBN:
9783658362829
Assembly-Line Balancing under Demand Uncertainty
Stall Sikora, Celso Gustavo.
Assembly-Line Balancing under Demand Uncertainty
[electronic resource] /by Celso Gustavo Stall Sikora. - 1st ed. 2022. - XVIII, 178 p. 27 illus.online resource. - Gabler Theses,2731-3239. - Gabler Theses,.
Introduction -- Design and operation of assembly lines -- Literature review on assembly line balancing under uncertainty -- Balancing under full sequencing control -- Balancing under no sequencing control -- Controlling production sequences using buffers -- Conclusion.
Assembly lines are productive systems, which are very efficient for homogeneous products. In the automotive industry, an assembly line is used in the production of several vehicle variants, including numerous configurations, options, and add-ins. As a result, assembly lines must be at the same time specialized to provide high efficiency, but also flexible to allow the mass customization of the vehicles. In this book, the planning of assembly lines for uncertain demand is tackled and optimization algorithms are offered for the balancing of such lines. Building an assembly line is a commitment of several months or even years, it is understandable that the demand will fluctuate during the lifetime of an assembly line. New products are developed, others are removed from the market, and the decision of the final customer plays a role on the immediate demand. Therefore, the variation and uncertainty of the demand must be accounted for in an assembly line. In this book, methods dealing with random demand or random production sequence are presented, so that the practitioners can plan more robust and efficient production systems. About the author Celso Gustavo Stall Sikora is an industrial engineer and was a research assistant at the Institute for Operations Research at the University of Hamburg where he received his PhD in 2021. His work focus on optimization procedures for the design and operation of automotive production systems.
ISBN: 9783658362829
Standard No.: 10.1007/978-3-658-36282-9doiSubjects--Topical Terms:
573517
Operations research.
LC Class. No.: T57.6-.97
Dewey Class. No.: 658.403
Assembly-Line Balancing under Demand Uncertainty
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Assembly lines are productive systems, which are very efficient for homogeneous products. In the automotive industry, an assembly line is used in the production of several vehicle variants, including numerous configurations, options, and add-ins. As a result, assembly lines must be at the same time specialized to provide high efficiency, but also flexible to allow the mass customization of the vehicles. In this book, the planning of assembly lines for uncertain demand is tackled and optimization algorithms are offered for the balancing of such lines. Building an assembly line is a commitment of several months or even years, it is understandable that the demand will fluctuate during the lifetime of an assembly line. New products are developed, others are removed from the market, and the decision of the final customer plays a role on the immediate demand. Therefore, the variation and uncertainty of the demand must be accounted for in an assembly line. In this book, methods dealing with random demand or random production sequence are presented, so that the practitioners can plan more robust and efficient production systems. About the author Celso Gustavo Stall Sikora is an industrial engineer and was a research assistant at the Institute for Operations Research at the University of Hamburg where he received his PhD in 2021. His work focus on optimization procedures for the design and operation of automotive production systems.
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