A Fuzzy Binary Bi objective Transportation Model: Iranian Steel Supply Network

Date

2018-10-02

Advisors

Journal Title

Journal ISSN

ISSN

1648-4142

Volume Title

Publisher

Vilnius Gediminas Technical University

Type

Article

Peer reviewed

Yes

Abstract

Prominent influence of transportation costs on supply chain overall profit indicates the importance and emergence of transportation optimization models. Regarding this issue and in view of realistic situation consisting of non-deterministic information, in this research optimizing inbound and outbound transportation costs of a multi echelon supply chain has been considered. To deal with uncertain time deliveries and pricing strategies adopted by different members of supply chain, in conjunction with unpredictable demand rate, fuzzy logic and specifically Trapezoidal Fuzzy Numbers (TrFNs) are included. After designing a fuzzy binary multi objective model based upon structural assumptions, the solving approach is proposed and the model is employed on Iranian steel supply network to illustrate the potential and advantages of our scheduled model. The bi-objective mixed integer fuzzy programming model presents and encompasses many realistic circumstances making the model applicable in network transportation cases.

Description

open access journal

Keywords

Citation

Mahdiraji, H. A., Beheshti, M., Hajiagha, S. H. R., and Zavadskas, E. K. (2018) A fuzzy binary bi objective transportation model: Iranian steel supply network. Transport, 33(3), pp.810-820.

Rights

Research Institute