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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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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Abstract 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.
AbstractList A realistic planning environment for a multi-product multi-period problem with stochastic demand is examined. A new demand stochastic LP model based mainly on the 2-stage deterministic equivalent problem is developed. The normally distributed stochastic demand is approximated by a discrete approximation method.
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.
Author Akif Bakir, M.
Byrne, Mike D.
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  fullname: Byrne, Mike D.
  organization: University of Nottingham, Department of Manufacturing Engineering and Operations Management, Nottingham NG7 2RD, UK
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Cites_doi 10.1007/978-3-642-61370-8_1
10.1137/0117010
10.1287/mnsc.17.2.B107
10.1137/0115113
10.1108/eb054713
10.1287/mnsc.10.2.353
10.1111/j.1540-5915.1976.tb00704.x
10.1515/9781400869930-010
10.1287/mnsc.1.3-4.197
10.1108/EUM0000000001276
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Issue 1
Keywords Stochastic Linear Optimisation
Multi-product multi-period problem
LP model
Approximate method
Production planning
Linear programming
Profit
Experimental study
Multiple production
Stochastic programming
Language English
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References_xml – reference: D. Walkup, R. Wets, Stochastic programs with recourse: special forms, in: H. Kuhn (Ed.), Proceedings of Princeton Symposium on Mathematical Programming, Princeton University Press, 1970, pp. 139–162.
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Snippet 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...
A realistic planning environment for a multi-product multi-period problem with stochastic demand is examined. A new demand stochastic LP model based mainly on...
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SubjectTerms 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
Title Stochastic linear optimisation of an MPMP production planning model
URI https://dx.doi.org/10.1016/S0925-5273(98)00060-7
http://econpapers.repec.org/article/eeeproeco/v_3a55_3ay_3a1998_3ai_3a1_3ap_3a87-96.htm
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