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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