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

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 outbou...

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Bibliographic Details
Published in:Transport (Vilnius, Lithuania) Vol. 33; no. 3; pp. 810 - 820
Main Authors: Amoozad Mahdiraji, Hannan, Beheshti, Moein, Razavi Hajiagha, Seyed Hossein, Zavadskas, Edmundas Kazimieras
Format: Journal Article
Language:English
Published: Vilnius Vilnius Gediminas Technical University 02.10.2018
Subjects:
Fuzzy logic
Mixed integer
Optimization
Steel industry
Supply chains
Transportation models
binary bi objective models
supply network
fuzzy sets
transportation problem
optimization
ISSN:1648-4142, 1648-3480
Online Access:Get full text
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Summary: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.
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ISSN:1648-4142
1648-3480
DOI:10.3846/transport.2018.5800