A multi-objective programming model for selection third-party logistics companies and suppliers in a closed-loop supply chain

Hashem Omrani, Iman Hushyar, Saman Moradi Zolmabadi and Abolfazl Jafari Asl

International Journal of Industrial and Systems Engineering, 2018, vol. 30, issue 4, 486-511

Abstract: Due to globalisation and increasing competition in markets, the manufacturers and service organisations tend to outsource their logistics activities. On behalf of manufacturers and service organisations, an outer firm which called third party logistics (3PLs) company manages, controls and performs the logistics activities. In this paper, a general closed-loop supply chain network is designed that includes manufacturers, 3PLs, supplier, evaluation, disassembly, refurbishing and disposal sites. The proposed model of this paper has two phases. First phase determines 3PL and external supplier by using fuzzy sets theory. Namely, the preferences of decision makers for selecting 3PLs and suppliers are expressed by triangular fuzzy numbers and then, the weights of 3PLs and suppliers are determined. In the second phase, a multi-objective mixed integer linear programming model is proposed to determine the product optimum quantity assigned to the 3PL and parts purchased from supplier. The proposed model considers 3PL and supplier selection, simultaneously. To illustrate the capability of the suggested model, a numerical example is solved and the results are analysed.

Keywords: supply chain management; reverse logistic; suppliers selection; third party logistic; 3PL; mixed integer linear programming; fuzzy logic. (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=96163 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:30:y:2018:i:4:p:486-511

Access Statistics for this article

More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().