Abstract
Supplier selection process is one of the main key processes of the supply chain management. So, selection of a supplier has become an important issue for development of a proper supply chain system. The objective of supplier selection process is to minimize risk in purchasing, enhance overall profit of the customer, and build the long lasting and close relations between suppliers and buyers. Hence, it is important to follow a systematic procedure to evaluate and select a best supplier with the help of their respective criteria‟s in present competitive ambiance. Multi Criteria Decision Making (MCDM) methods can fulfill such need of the selection of best supplier as selection of supplier being MCDM problem. Here, we have provided a case study for supplier selection using Analytical Hierarchy Process (AHP) one of the MCDM technique. The aim of this study was to evaluate the best supplier using fuzzy stochastic data. Judgment of decision makers were taken to rate the suppliers. Four suppliers being evaluated using AHP technique. To achieve this target, demand, quality, profit and service were considered as criteria‟s. Quality and service were considered as fuzzy variables while demand and profit were considered to be stochastic variables. This method can be used when one have to select one particular supplier from number of suppliers in short period of time. It will be also helpful to the Pharmacists to select the best supplier who can fulfill all their needs. This study contributed on utility of crisp and fuzzy AHP methodology but also provided comprehensive literature review of MCDM problems. This study presented systematic way for selection of supplier using decision maker‟s judgment under fuzzy stochastic environment and it is limited to case study area. However this can be applied by interested researchers in their related interests considering other criteria‟s that suit their study area by taking experts opinions from their field.
Author: Trupti Bhosale and Hemant Umap
Received on: February, 2022
Accepted on: April, 2023