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An Integrated Framework for the Performance Evaluation of Fruits and Vegetable Store Located in a Supermarket
Author(s) -
Susovan Jana,
Bijan Sarkar,
Ranjan Parekh
Publication year - 2022
Publication title -
trends in sciences
Language(s) - English
Resource type - Journals
ISSN - 2774-0226
DOI - 10.48048/tis.2022.2073
Subject(s) - topsis , analytic hierarchy process , brainstorming , fuzzy logic , quality (philosophy) , computer science , set (abstract data type) , mathematics , operations research , artificial intelligence , philosophy , epistemology , programming language
The quality of fruits and vegetable stores should be maintained with high priority for customer satisfaction. The performance evaluation of fruits and vegetable store located in a supermarket is a big challenge for the managerial personnel of the supermarket. In this paper, a new performance evaluation framework is proposed for the fruits and vegetable store located in a supermarket. The criteria for performance evaluation have been found out in a hierarchical structure through a brainstorming session among the experts. The 4 top-level criteria are storage, processing, sales and transport. These 4 top-level criteria are broken into 9 lower-level criteria. Fuzzy AHP is used to calculate the weights of criteria for each level of the hierarchy. Fuzzy TOPSIS generally ranks the alternatives. An improved fuzzy TOPSIS, which is named fuzzy k-TOPSIS, is proposed here to find out the rank as well as classification of the stores of fruits and vegetables. The proposed framework is demonstrated here with a case study for a better understanding of the complete framework.
HIGHLIGHTS
The proposed framework integrates Fuzzy Set Theory, Analytic Hierarchy Process (AHP), and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and k-means clustering for the performance evaluation of fruits and vegetable store located in a supermarket
The main contribution of this paper is that the proposed framework not only ranks the alternative fruits and vegetable stores but also does a classification among the alternative fruits and vegetable stores based on their performance
The proposed framework is demonstrated here with an illustrative example, which includes 24 stores of fruits and vegetables, 9 criteria, and the expert’s committee of 3 members
The proposed framework can also be used in other Multi-criteria Decision Making (MCDM) problems
GRAPHICAL ABSTRACT