Year: 2024
Type: article
Abstract: Purpose: Decision-making refers to the process of selecting an alternative from among available alternatives, including analyzing relevant information, considering potential outcomes, and evaluating the effects of each alternative. Decisions can be made in various life situations, including personal, professional, financial, and organizational issues. One of the most important organizational decisions is selecting the [most] appropriate supplier, which is a multi-criteria decision. Such decisions are usually complex and unstructured in nature. Management science today can greatly help deal with such problems. This paper aims to apply the fuzzy WASPAS technique to select the best chicken meat supplier in a city in Markazi Province to ensure maximum compliance with the specified criteria. These criteria were obtained through interviews with store managers. They employed the abovementioned criteria to evaluate and select chicken meat suppliers and related products. Methodology: The opinions of chicken meat store managers (n=24 in total) were collected using tools such as questionnaires. The linguistic variables obtained from the questionnaires were transformed by the Fuzzy Likert Scale (FLS). The latest version of MATLAB software was used to analyze the data. Findings: According to the results, after applying the FWASPAS method, out of six suppliers, three were selected as the best considering the identified criteria. Herein, all analyses were conducted in Excel. The results also demonstrated that Supplier #6 (i.e., Dorsa Morgh Co.) performed best in 2023. Originality/value: This research identifies the best chicken meat supplier company using the fuzzy WASPAS technique.
Authors: Asma Etebari, Rahmat Arab, Mohammad Amirkhan
Institutions: Islamic Azad University, Aliabad Katoul, Golestan University
Language: English
Field: Decision Sciences
Domain: Social Sciences
SDG: Zero hunger
Open Access status: diamond
OpenAlex ID: W4408243175