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A risk-averse two-stage stochastic programming model for a joint multi-item capacitated line balancing and lot-sizing problem
European Journal of Operational Research ; 2021.
Article in English | ScienceDirect | ID: covidwho-1458687
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.

Full text: Available Collection: Databases of international organizations Database: ScienceDirect Type of study: Prognostic study Language: English Journal: European Journal of Operational Research Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: ScienceDirect Type of study: Prognostic study Language: English Journal: European Journal of Operational Research Year: 2021 Document Type: Article