A fuzzy binary bi objective transportation model: Iranian steel supply network

Transport

Seyed Hossein Razavi Hajiagha¹  Moein Beheshti²  Hannan Amoozad Mahdiraji³  Edmundas Kazimieras Zavadskas⁴ 

[1] Dept of Management, Khatam University, Tehran, Iran;Dept of Management, University of Tehran, Kish, Iran;Faculty of Management, University of Tehran, Tehran, Iran;Institute of Sustainable Construction, Vilnius Gediminas Technical University, Vilnius, Lithuania

关键词: fuzzy sets;    transportation problem;    binary bi objective models;    supply network;    optimization;   

DOI  :  10.3846/transport.2018.5800

学科分类：航空航天科学

来源: Vilnius Gedinimas Technical University

【 摘 要 】

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.

【 授权许可】

CC BY