Title: A new agile fuzzy multi-objective model for selecting/eliminating supplier

Authors: Masoud Mohammadzadeh; Alireza Arshadi Khamseh

Addresses: Faculty of Engineering, Industrial Engineering Department, Kharazmi University, No. 49 Mofateh Street, Near to Enghelab Street, Postal Code: 15719-1491, Tehran, Iran ' Faculty of Engineering, Industrial Engineering Department, Kharazmi University, No. 49 Mofateh Street, Near to Enghelab Street, Postal Code: 15719-1491, Tehran, Iran

Abstract: In today's highly competitive world, supplier selection is an important decision for efficient supply chain management. Appropriate suppliers reduce the purchasing price and lead-time and increase customer satisfaction. However, after supplier selection stage it is possible that some of the selected suppliers' performances are not acceptable and caused more cost for our supply chain. In an agile supply chain management, it is necessary to have a solution for these cases and eliminate these kinds of suppliers. In this paper, we introduce two crisp/fuzzy multi-objective linear models to eliminate the most costly supplier and determine the amount of purchase from the remaining suppliers. Here we have three objective functions: total purchasing cost that must be minimised, quality and service level that must be maximised. Finally, case studies are presented to illustrate how our proposed models work.

Keywords: fuzzy optimisation; multi-objective optimisation; supplier selection; supplier elimination; agile supply chains; supply chain management; SCM; supplier performance; modelling; total purchasing cost; quality levels; service levels.

DOI: 10.1504/IJMOR.2016.075516

International Journal of Mathematics in Operational Research, 2016 Vol.8 No.3, pp.259 - 278

Received: 08 May 2014
Accepted: 08 Aug 2014
Published online: 28 Mar 2016 *

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