SavedAdd your journal

Journals / Mersin Üniversitesi Denizcilik ve Lojistik Araştırmaları Dergisi / 2023 / Cilt: 5 Sayı: 1

A SURVEY on MCDM APPROACHES for MARITIME PROBLEMS

Devran YAZIR
Pages
1–37
Publication Date
2023-07-11
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

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

The evaluation of other mathematical methods and their comparison with the commonly used methods have been made under a subtitle in this paper.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The maritime industry is a worldwide area of work where critical decisions are made in critical situations.
📊
Key Findings & Data:The fact that decision-making is based on a scientific and mathematical basis has been in academic authorities' attendance area for the last five decades.
💡
Conclusion & Impact:The evaluation of other mathematical methods and their comparison with the commonly used methods have been made under a subtitle in this paper.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:MCDM · MADM · Fuzzy

Abstract

The maritime industry is a worldwide area of work where critical decisions are made in critical situations. The fact that decision-making is based on a scientific and mathematical basis has been in academic authorities' attendance area for the last five decades. In this study, a literature review has been conducted on the use of decision-making techniques in maritime practices. In the literature survey, Multi-Criteria Decision-Making (MCDM) methods have been examined, studies in Turkey and the International area carded; weights, distributions, usage reasons, advantages, and disadvantages of methods determined based on studies have been comparatively studied. The main aim of this paper is to statistically compare the quality and quantity of the papers published on the decision-making techniques used in maritime in Turkey and the International area. In addition to MCDM techniques, other mathematical methods used in shipping are also included in the study. The evaluation of other mathematical methods and their comparison with the commonly used methods have been made under a subtitle in this paper.

Özet

The maritime industry is a worldwide area of work where critical decisions are made in critical situations. The fact that decision-making is based on a scientific and mathematical basis has been in academic authorities' attendance area for the last five decades. In this study, a literature review has been conducted on the use of decision-making techniques in maritime practices. In the literature survey, Multi-Criteria Decision-Making (MCDM) methods have been examined, studies in Turkey and the International area carded; weights, distributions, usage reasons, advantages, and disadvantages of methods determined based on studies have been comparatively studied. The main aim of this paper is to statistically compare the quality and quantity of the papers published on the decision-making techniques used in maritime in Turkey and the International area. In addition to MCDM techniques, other mathematical methods used in shipping are also included in the study. The evaluation of other mathematical methods and their comparison with the commonly used methods have been made under a subtitle in this paper.

🔖

Cite This Article

YAZIR, D. (2023). A SURVEY on MCDM APPROACHES for MARITIME PROBLEMS. Mersin Üniversitesi Denizcilik ve Lojistik Araştırmaları Dergisi, Cilt: 5 Sayı: 1, 1–37. https://ajindex.com/articles/952687

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (4)

  1. Acer, A. and Yangınlar, G. (2017). The Determination of Turkish Container Ports Performance with Topsis Multiple Criteria Decision-Making Method. Journal of Management Marketing and Logistics 4(2): 67-75. doi.org/10.17261/Pressacademia.2017.452. Adenso-Díaz, B., Álvarez, N. G., and Alba, J. A. L. (2019). A Fuzzy AHP Classification of Container Terminals. Maritime Economics and Logistics 22(2): 218-238. doi:10.1057/s41278-019-00144-4.
  2. Agarwal, A. and Chand, V. K. (2018). Selection of It Tools in Shipping.” Industrial Engineering Journal 11. doi: 10.26488/IEJ.11.2.1037. Aikhuele, D. O., Sorooshian, S., Ansah, R. H. and Mohd Turan, F. (2017). Application of Intuitionistic Fuzzy Topsis Model for Troubleshooting an Offshore Patrol Boat Engine. Polish Maritime Research 24(2): 68-76. doi: 10.1515/pomr-2017-0051.
  3. Aikhuele, D. O., Mohd Turan, F., Odofin, S. and Ansah, R.H. (2017). Interval-Valued Intuitionistic Fuzzy TOPSIS-Based Model for Troubleshooting Marine Diesel Engine Auxiliary System. Trans. R. Instit. Nav. Arch. Part A: Int. J. Marit. Eng 159: 107-114. doi: 10.3940/rina.ijme.2016.al.402. Alyami, H., Yang, Z., Riahi, R., Bonsall, S. and Wang, J. (2019). Advanced Uncertainty Modelling for Container Port Risk Analysis. Accident Analysis and Prevention 123: 411-421. doi.org/10.1016/j.aap.2016.08.007. Animah, I., Addy Lamptey, A., Korsah, F. and Sackey, J. S. (2018). Compliance with MARPOL Annex VI regulation 14 by ships in the Gulf of Guinea sub-region: Issues, challenges and opportunities. Transportation Research Part D: Transport and Environment 62: 441-455. doi: 10.1016/j.trd.2018.03.020. Animah, I. and Shafiee, M. (2019). Maintenance Strategy Selection for Critical Shipboard Machinery Systems Using A Hybrid AHP-PROMETHEE and Cost Benefit Analysis: A Case Study. Journal of Marine Engineering and Technology 1-12. doi: 10.1080/20464177.2019.1572705. Arof, A.Md. (2018). Decision Making Model for Ro-Ro Short Sea Shipping Operations in Archipelagic Southeast Asia. The Asian Journal of Shipping and Logistics 34(1): 33-42. doi: 10.1016/j.ajsl.2018.03.005. Arslan, H. M., Ozcan, S. and Abdellahi A. (2019). Çok Kriterli Karar Analizi Yöntemleri ile Balıkçılık İşletmeleri için En Uygun Tesis Yeri Seçimi. Dicle Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 22: 403-413.
  4. Badurina Tomic, P., Dundovic, C. and Grubisic, N. (2016). Selection of Suitable Locations for Nautical Tourism Ports in The Ličko-Senjska County. Journal of Maritime & Transportation Science 52(1): 133