Analytical network process based representation operations on triangular fuzzy numbers for supplier selection decision

• Main Authors: Chong Z.L (Author), Hamid N.N.A (Author), Kasihmuddin M.S.M (Author), Kong V.P (Author), Mokhtar, M. (Author), Nordin, N.S (Author), Sek S.K (Author), Suhadak, N. (Author), Tarmudi, Z. (Author), Teh W.C (Author)
• Format: Article
• Language: English
• Published: American Institute of Physics Inc. 2021
• Online Access: View Fulltext in Publisher; View in Scopus
• ISBN: 0094243X (ISSN); 9780735441668 (ISBN)
• DOI: 10.1063/5.0075686

For decades, the supplier selection decision problem remains as one of the major concerns for many organizations worldwide. Currently, the existing methods are too complex and time-consuming for the organizations to determine the best suppliers for them. Thus, this paper aims to utilize the analytical network process (ANP) based on presentation operations to address this issue. The method was equipped with the so-called graded mean integration of multiple operations and canonical representation on triangular fuzzy numbers (TFNs) via pairwise comparison evaluations. It employed six comprehensive procedures to analyze the problem related to supplier selection. Then, the total scores were attained directly to derive the global weights of each alternative before performing the rating process. To show the feasibility of the proposed method, a numerical example was adopted via a case study. From the calculation results, it shows that both presentation operations equipped in ANP were very beneficial in terms of process simplicity and time consumption, without losing any information. These benefits can be easily understood especially when the evaluation involves a huge number of criteria and sub-criteria via a pairwise comparisons process. Thus, not only did this method make supplier selection decision-making process to be less complex, it was also able to reduce the time consumption. © 2021 American Institute of Physics Inc.. All rights reserved.