A risk-averse two-stage stochastic programming model for a joint multi-item capacitated line balancing and lot-sizing problem

Yuchen Li, Francisco Saldanha-da-Gama, Ming Liu and Zaoli Yang

European Journal of Operational Research, 2023, vol. 304, issue 1, 353-365

Abstract: In this paper, a comprehensive production planning problem under uncertain demand is investigated. The problem intertwines two NP-hard optimization problems: an assembly line balancing problem and a capacitated lot-sizing problem. The problem is modelled as a two-stage stochastic program assuming a risk-averse decision maker. Efficient solution procedures are proposed for tackling the problem. A case study related to mask production is presented. Several insights are provided stemming from the COVID-19 pandemic. Finally, the results of a series of computational tests are reported.

Keywords: Combinatorial optimization; COVID-19; Assembly line balancing; Lot-sizing; Uncertain demand (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:304:y:2023:i:1:p:353-365

DOI: 10.1016/j.ejor.2021.09.043

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