A fuzzy aggregate production planning model for make-to-stock environments

This paper presents an aggregate production planning model for make-to-stock (MTS) environments. Since multiple sources of imprecision and complex inter-relationships at various levels between diverse entities exist in the supply chain (SC), we can use stochastic or fuzzy control models to describe...

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Bibliographic Details
Published in2007 IEEE International Conference on Industrial Engineering and Engineering Management pp. 1609 - 1613
Main Authors Tavakkoli-Moghaddam, R., Rabbani, M., Gharehgozli, A.H., Zaerpour, N.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2007
Subjects
Aggregate production planning
Aggregates
Costs
Fuzzy set theory
Fuzzy sets theory
Industrial engineering
Make-to-stock
Manufacturing systems
Production planning
Production systems
Stochastic processes
Supply chains
Uncertainty
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ISBN1424415284
9781424415281
ISSN2157-3611
DOI10.1109/IEEM.2007.4419464

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Summary:This paper presents an aggregate production planning model for make-to-stock (MTS) environments. Since multiple sources of imprecision and complex inter-relationships at various levels between diverse entities exist in the supply chain (SC), we can use stochastic or fuzzy control models to describe the complex SC processes, associated management, and control tasks. We consider the fuzzy sets theory as a solution to tackle the uncertainties in different terms of the model. Finally, the effectiveness of the proposed model is demonstrated by a numerical example.
ISBN:1424415284
9781424415281
ISSN:2157-3611
DOI:10.1109/IEEM.2007.4419464