Risk-averse two-stage stochastic programming for assembly line reconfiguration with dynamic lot sizes

In this paper, a comprehensive optimization problem is developed for a composite of an assembly line reconfiguration problem with multiple lines and a capacitated lot-sizing problem. Multiple products are considered, whose demand is uncertain and is dynamically forecasted. The production planner is...

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Published in:Omega (Oxford) Vol. 127; p. 103092
Main Authors: Li, Yuchen, Liu, Ming, Saldanha-da-Gama, Francisco, Yang, Zaoli
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.09.2024
Subjects:
Assembly line rebalancing
Lot-sizing
Multiple lines
Risk aversion
Stochastic demand
Risk aversion
Lot-sizing
Multiple lines
Stochastic demand
Assembly line rebalancing
ISSN:0305-0483, 1873-5274
Online Access:Get full text
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Abstract In this paper, a comprehensive optimization problem is developed for a composite of an assembly line reconfiguration problem with multiple lines and a capacitated lot-sizing problem. Multiple products are considered, whose demand is uncertain and is dynamically forecasted. The production planner is assumed to be risk-averse, and decisions are made contingent upon the risk preference. To model the problem, a stochastic program with two stages is utilized. A solution approach is devised using a divide-and-conquer algorithm, which incorporates a set of valid inequalities. The effectiveness and efficiency of the proposed solution approach are assessed through a series of computational tests. Finally, a case study focusing on an engine production process is presented, leading to the derivation of several valuable insights. •A joint optimization problem that combines assembly line rebalancing and lot sizing problems.•Stochastic two-stage models are proposed.•Divide-and-conquer algorithm and valid inequalities are utilized.
AbstractList In this paper, a comprehensive optimization problem is developed for a composite of an assembly line reconfiguration problem with multiple lines and a capacitated lot-sizing problem. Multiple products are considered, whose demand is uncertain and is dynamically forecasted. The production planner is assumed to be risk-averse, and decisions are made contingent upon the risk preference. To model the problem, a stochastic program with two stages is utilized. A solution approach is devised using a divide-and-conquer algorithm, which incorporates a set of valid inequalities. The effectiveness and efficiency of the proposed solution approach are assessed through a series of computational tests. Finally, a case study focusing on an engine production process is presented, leading to the derivation of several valuable insights. •A joint optimization problem that combines assembly line rebalancing and lot sizing problems.•Stochastic two-stage models are proposed.•Divide-and-conquer algorithm and valid inequalities are utilized.
ArticleNumber 103092
Author Li, Yuchen
Liu, Ming
Yang, Zaoli
Saldanha-da-Gama, Francisco
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  givenname: Ming
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  email: mingliu@tongji.edu.cn
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  surname: Saldanha-da-Gama
  fullname: Saldanha-da-Gama, Francisco
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  givenname: Zaoli
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  organization: School of Economics and Management, Beijing University of Technology, China
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Keywords Risk aversion
Lot-sizing
Multiple lines
Stochastic demand
Assembly line rebalancing
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Snippet In this paper, a comprehensive optimization problem is developed for a composite of an assembly line reconfiguration problem with multiple lines and a...
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Publisher
StartPage 103092
SubjectTerms Assembly line rebalancing
Lot-sizing
Multiple lines
Risk aversion
Stochastic demand
Title Risk-averse two-stage stochastic programming for assembly line reconfiguration with dynamic lot sizes
URI https://dx.doi.org/10.1016/j.omega.2024.103092
Volume 127
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