A fuzzy mixed integer linear programming model for integrating procurement-production-distribution planning in supply chain

Pourrousta, A.; Dehbari, S.; Tavakkoli-Moghaddam, R.; Imenpour, A.; Naderi-Beni, M.

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International Journal of Industrial Engineering Computations

ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print) Quarterly Publication Volume 3 Issue 3 pp. 403-412 , 2012

A fuzzy mixed integer linear programming model for integrating procurement-production-distribution planning in supply chain Pages 403-412 Download PDF

Authors: Alireza Pourrousta, Saleh Dehbari, Reza Tavakkoli-Moghaddam, Amir Imenpour, Mahdi Naderi-Beni

DOI: 10.5267/j.ijiec.2011.12.006

Keywords:

Abstract: In this paper, we study a supply chain problem where a whole seller/producer distributes goods among different retailers. Such problems are always faces with uncertainty with input data and we have to use various techniques to handle the uncertainty. The proposed model of this paper considers different input parameters such as demand, capacity and cost in trapezoid fuzzy forms and using two ranking methods, we handle the uncertainty. The results of the proposed model of this paper have been compared with the crisp and other existing fuzzy techniques using some randomly generated data. The preliminary results indicate that the proposed models of this paper provides better values for the objective function and do not increase the complexity of the resulted problem.

How to cite this paper

 Pourrousta, A., Dehbari, S., Tavakkoli-Moghaddam, R., Imenpour, A & Naderi-Beni, M. (2012). A fuzzy mixed integer linear programming model for integrating procurement-production-distribution planning in supply chain.International Journal of Industrial Engineering Computations , 3(3), 403-412.

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