Vol.73, No.2, 2022, pp.2485-2494, doi:10.32604/cmc.2022.026682
OPEN ACCESS
ARTICLE
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:
Received 02 January 2022; Accepted 26 April 2022; Issue published 16 June 2022
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.
Keywords
Fuzzy theory; MCDM model; supplier selection; port capacity upgrading
Cite This Article
C. Wang and T. Chao, "Fuzzy multi-criteria decision making for decision support in port capacity upgrade," Computers, Materials & Continua, vol. 73, no.2, pp. 2485–2494, 2022.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.