New Solution Approaches for Multi-Objective Solid Transportation Problem Using Some Aggregation Operators

Author:

KARA Nurdan1,KÖÇKEN Hale2

Affiliation:

1. National Defence University

2. YILDIZ TEKNİK ÜNİVERSİTESİ

Abstract

A solid transportation problem emerges when the decision variables are represented by three items: the source, the destination, and the mode of transport. In applications, the STP generally requires considering multiple objectives such as cost minimization, time minimization, security level maximization, etc. In this way, a multi-objective solid transportation problem arises. This paper deals with the solution of the problem and analyzes the effect of several important fuzzy aggregation operators on the solution of the problem. In this context, the most commonly used aggregation operators are investigated for this problem. To explain the solution approach, a numerical example from the literature is given and a Pareto-optimal solution set is provided to offer the decision-maker. Furthermore, graphical comparisons and sensitivity analysis are presented with the solution obtained.

Publisher

Igdir University

Subject

General Medicine

Reference34 articles.

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2. Anuradha D, Jayalakshmi M, Deepa G, Sujatha V, 2019. Solution of Multiobjective Solid Transportation Problem in Fuzzy Approach. AIP Conference Proceedings, No.1, P020009-1- 020009-5.5.

3. Arslan O, Archetti C, Jabali O, Laporte G, Speranza MG, 2020. Minimum cost network design in strategic alliances. Omega, Vol. 96, 102079.

4. Bit AK, Biswal MP, Alam SS, 1993. Fuzzy programming approach to multiobjective solid transportation problem. Fuzzy Sets and Systems, 57:183-194.

5. Bodkhe, SG, Bajaj VH, Dhaigude DB, 2010. Fuzzy programming technique to solve multi-objective solid transportation problem with some non-linear membership functions. Advances in Computational Research, 2(1):15-20.

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