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Fuzzy Multi-criteria Decision Making for Decision Support in Port Capacity Upgrade

Chia-Nan Wang, Tien–Lin Chao*

Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Taiwan

* Corresponding Author: Tien–Lin Chao. Email: email

Computers, Materials & Continua 2022, 73(2), 2485-2494. https://doi.org/10.32604/cmc.2022.026682

Abstract

In many port capacity upgrade projects, choosing a supplier of equipment is a complicated decision, project managers must consider many criteria to choose a supplier to ensure the project is completed on time, optimal in terms of benefit and cost. Therefore, selecting the equipment supplier in this project is a multi-criteria decision-making process. The multi-criteria decision-making (MCDM) model is applied in many fields to select the optimal solution, but there are very few studies using the MCDM model to support project managers in evaluating and selecting optimal solutions in port capacity upgrade project. In this research, the authors combine Fuzzy Analytic Network Process model and Weighted Aggregated Sum Product Assessment concepts to develop a decision support system in port capacity upgrade project. The scientific and practical contribution of this study is to successfully propose a decision support model in a fuzzy environment. The results of the study will be a useful guideline to assist decision makers in port capacity upgrading projects in Taiwan as well as in other countries around the world.

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Cite This Article

APA Style
Wang, C., Chao, T. (2022). Fuzzy multi-criteria decision making for decision support in port capacity upgrade. Computers, Materials & Continua, 73(2), 2485-2494. https://doi.org/10.32604/cmc.2022.026682
Vancouver Style
Wang C, Chao T. Fuzzy multi-criteria decision making for decision support in port capacity upgrade. Comput Mater Contin. 2022;73(2):2485-2494 https://doi.org/10.32604/cmc.2022.026682
IEEE Style
C. Wang and T. Chao, "Fuzzy Multi-criteria Decision Making for Decision Support in Port Capacity Upgrade," Comput. Mater. Contin., vol. 73, no. 2, pp. 2485-2494. 2022. https://doi.org/10.32604/cmc.2022.026682



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