Stochastic linear optimisation of an MPMP production planning model

The subject of this paper is to study a realistic planning environment for a multi-product multi-period problem with stochastic demand. We develop here a new demand stochastic LP model based mainly on the two-stage deterministic equivalent problem. In this paper, the normally distributed stochastic...

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Bibliographic Details
Published inInternational journal of production economics Vol. 55; no. 1; pp. 87 - 96
Main Authors Akif Bakir, M., Byrne, Mike D.
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 08.06.1998
Elsevier Science
Elsevier
Elsevier Sequoia S.A
SeriesInternational Journal of Production Economics
Subjects
Applied sciences
Exact sciences and technology
Linear programming
LP model
Multi-product multi-period problem
Operational research and scientific management
Operational research. Management science
Optimization
Planning. Forecasting
Production planning
Statistical analysis
Stochastic Linear Optimisation
Stochastic models
Studies
Stochastic Linear Optimisation
Multi-product multi-period problem
LP model
Approximate method
Production planning
Linear programming
Profit
Experimental study
Multiple production
Stochastic programming
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Summary:The subject of this paper is to study a realistic planning environment for a multi-product multi-period problem with stochastic demand. We develop here a new demand stochastic LP model based mainly on the two-stage deterministic equivalent problem. In this paper, the normally distributed stochastic demand is approximated by a discrete approximation method.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
content type line 14
ISSN:0925-5273
1873-7579
DOI:10.1016/S0925-5273(98)00060-7