Maritime Supply Chain Optimization by Using Fuzzy Goal Programming

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Şahin B., Yazır D., Hamid A. A., Rahman N. S. F. A.

Algorithms, vol.14, no.8, pp.234-246, 2021 (ESCI)

  • Publication Type: Article / Article
  • Volume: 14 Issue: 8
  • Publication Date: 2021
  • Doi Number: 10.3390/a14080234
  • Journal Name: Algorithms
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus, Academic Search Premier, Aerospace Database, Communication Abstracts, Compendex, INSPEC, Metadex, zbMATH, Directory of Open Access Journals, Civil Engineering Abstracts
  • Page Numbers: pp.234-246
  • Karadeniz Technical University Affiliated: Yes


Fuzzy goal programming has important applications in many areas of supply chain,

logistics, transportation and shipping business. Business management has complications, and there

exist many interactions between the factors of its components. The locomotive of world trade is

maritime transport and approximately 90% of the products in the world are transported by sea.

Optimization of maritime operations is a challenge in order to provide technical, operational and

financial benefits. Fuzzy goal programming models attract interests of many scholars, therefore the

objective of this paper is to investigate the problem of minimization of total cost and minimization of

loss or damage of containers returned from destination port. There are various types of fuzzy goal

programming problems based on models and solution methods. This paper employs fuzzy goal

programming with triangular fuzzy numbers, membership functions, constraints, assumptions as

well as the variables and parameters for optimizing the solution of the model problem. The proposed

model presents the mathematical algorithm, and reveals the optimal solution according to satisfaction

rank from 0 to 1. Providing a theoretical background, this study offers novel ideas to researchers,

decision makers and authorities.