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Journals / Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi / 2022 / Cilt: 12 - Sayı: 3

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

Nurdan KARA
Hale GONCE KÖÇKEN
Pages
1776–1789
Publication Date
2022-11-06
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Furthermore, graphical comparisons and sensitivity analysis are presented with the solution obtained.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:A solid transportation problem emerges when the decision variables are represented by three items: the source, the destination, and the mode of transport.
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Key Findings & Data:In applications, the STP generally requires considering multiple objectives such as cost minimization, time minimization, security level maximization, etc.
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Conclusion & Impact:Furthermore, graphical comparisons and sensitivity analysis are presented with the solution obtained.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Multi-objective optimization · fuzzy aggregation operator · solid transportation problem.

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.

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Cite This Article

KARA, N., KÖÇKEN, H. G. (2022). New Solution Approaches for Multi-Objective Solid Transportation Problem Using Some Aggregation Operators. Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Cilt: 12 - Sayı: 3, 1776–1789. https://ajindex.com/articles/651465

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