Robust gasoline closed loop supply chain design with redistricting, service sharing and intra-district service transfer. (March 2019)

• Record Type: Journal Article
• Authors: Saedinia, R.; Vahdani, Behnam; Etebari, F.; Afshar Nadjafi, B.
• Is Part Of: Transportation research. Volume 123(2019)
• Page Start: 121
• Page End: 141
• Publication Date: 2019-03
• Subjects: CLSC network design -- Redistricting -- Resource sharing -- Service transfer -- Robust optimization; Logistics -- Periodicals; Transportation -- Periodicals; 388.011
• DOI: 10.1016/j.tre.2019.01.015
• Languages: English
• ISSNs: 1366-5545

Abstract

Highlights: Developing a new framework for coordination of redistricting, service sharing and intra-district service transfer in a CLSC. Proposing a bi-objective robust mathematical programming model for reducing demand overload and its disparity in a CLSC. A real case study in gasoline industry is conducted. Abstract: This paper presents a bi-objective model to design a closed loop supply chain with simultaneous consideration of districting regions, facility location–allocation, service sharing, and intra-district service transfer. The first objective function is to minimize the total costs, and the second one is to minimize the maximum volume of surplus demand from service facilities. In this model, costs, returns, and maximum service supply are uncertain; a robust optimization approach is used to take into account the uncertainty. Additionally, the validity of the proposed mathematical model on a real case study in the oil and gas industry sector has been investigated.