Title: A fuzzy mathematical model for supplier selection and order allocation considering green vehicle routing problem

Authors: Roohollah Ramezanzadeh Baraki; Farhad Kianfar

Addresses: Department of Industrial Engineering, Sharif University of Technology, Iran ' Department of Industrial Engineering, Sharif University of Technology, Iran

Abstract: Recently, with the expansion of environmental issues and raising of customers' awareness, companies are experiencing huge pressure from shareholders and the government for greater compatibility with their environment. Companies and industry owners must implement green operations in their daily activities to be able to keep up with the competitive atmosphere of the environment. One of the most important operations to be implemented is cooperating with green suppliers. In this study, a multi-objective mathematical model is proposed to select suppliers and allocate optimal orders to them in a two-echelon supply chain, including supply and distribution echelons. The proposed model focuses on the routing of each supplier in addition to the selection of suppliers. Moreover, the possibility of storage, multi-product and multi-period state, and stair discount constitute the other assumptions of this model. Finally, to validate the proposed model, it is implemented in a food distribution chain in Iran. The obtained results indicated the efficiency and effectiveness of the proposed model.

Keywords: supplier selection; order allocation; mathematical modelling; fuzzy theory; vehicle routing problem.

DOI: 10.1504/IJLSM.2017.083811

International Journal of Logistics Systems and Management, 2017 Vol.27 No.2, pp.151 - 163

Received: 23 Nov 2015
Accepted: 06 Mar 2016
Published online: 24 Apr 2017 *

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