Capacitated stochastic lot-sizing and production planning problem under demand uncertainty
Type :
Conference paper
Publication Status :
Published
Access :
restrictedAccess
Abstract
This paper proposes two multi-period, multi-item capacitated stochastic lot-sizing problems under demand uncertainty. We model uncertainty via a scenario tree. The first model considers production, inventory, backlogging, line status, and worker group assignment decisions, where inventory and backlogging decisions have wait-and-see structure. The second model converts line status and worker group assignment decisions to the wait-and-see structure. Also, the second model enables us to take corrective extra-ordering decisions using scenario-based wait-and-see decisions. Numerical results compare the optimality and CPU time performances of two models and solution approaches using a data set inspired by a real-life electronics company.
Source :
IFAC-PapersOnLine
Date :
2022
Volume :
55
Issue :
10
Publisher :
Elsevier
URI
http://hdl.handle.net/10679/8584https://www.sciencedirect.com/science/article/pii/S2405896322021425
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