A new stochastic mixed integer programming to design integrated cellular manufacturing system: A supply chain framework

Ghezavati, V.

Growing Science » International Journal of Industrial Engineering Computations » A new stochastic mixed integer programming to design integrated cellular manufacturing system: A supply chain framework

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International Journal of Industrial Engineering Computations

ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print) Quarterly Publication Volume 2 Issue 3 pp. 563-574 , 2011

A new stochastic mixed integer programming to design integrated cellular manufacturing system: A supply chain framework Pages 563-574 Download PDF

Authors: Vahid Reza Ghezavati

DOI: 10.5267/j.ijiec.2011.03.003

Keywords: Cellular manufacturing, Stochastic MIP, Supplier network, Uncertain processing time

Abstract: This research defines a new application of mathematical modeling to design a cellular manufacturing system integrated with group scheduling and layout aspects in an uncertain decision space under a supply chain characteristics. The aim is to present a mixed integer programming (MIP) which optimizes cell formation, scheduling and layout decisions, concurrently where the suppliers are required to operate exceptional products. For this purpose, the time in which parts need to be operated on machines and also products & apos; demand are uncertain and explained by set of scenarios. This model tries to optimize expected holding cost and the costs regarded to the suppliers network in a supply chain in order to outsource exceptional operations. Scheduling decisions in a cellular manufacturing framework is treated as group scheduling problem, which assumes that all parts in a part group are operated in the same cell and no inter-cellular transfer is required. An efficient hybrid method made of genetic algorithm (GA) and simulated annealing (SA) will be proposed to solve such a complex problem under an optimization rule as a sub-ordinate section. This integrative combination algorithm is compared with global solutions and also, a benchmark heuristic algorithm introduced in the literature. Finally, performance of the algorithm will be verified through some test problems.

How to cite this paper

 Ghezavati, V. (2011). A new stochastic mixed integer programming to design integrated cellular manufacturing system: A supply chain framework.International Journal of Industrial Engineering Computations , 2(3), 563-574.

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