A multi-stage stochastic programming model of lot-sizing and scheduling problems with machine eligibilities and sequence-dependent setups

We focus on the lot-sizing and scheduling problem with the additional considerations of machine eligibility, sequence-dependent setups, and uncertain demands. Multi-stage stochastic programming is proposed. We analyze the problem structure and suggest ways for modeling and solving large-scale stocha...

Full description

Saved in:

Bibliographic Details
Published in:	Annals of operations research Vol. 311; no. 1; pp. 35 - 50
Main Authors:	Chen, Sheng-I, Su, Delvinia
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.04.2022 Springer Springer Nature B.V
Subjects:	Business and Management Combinatorics Demand Economic lot size Eligibility Job shops Lot sizing Methods Operations research Operations Research/Decision Theory Production planning S.I.: Reliability Modeling with Applications Based on Big Data Scheduling Scheduling (Management) Stochastic models Stochastic programming Theory of Computation Taiwan Multi-stage stochastic programming Machine eligibility Lot-sizing and scheduling Sequence-dependent setups
ISSN:	0254-5330, 1572-9338
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!