Title: A DEA-based decision framework for performance evaluation and ranking of workers in a real case from food industries

Authors: Sadegh Niroomand

Addresses: Department of Industrial Engineering, Firouzabad Higher Education Center, Shiraz University of Technology, Shiraz, Iran

Abstract: In this study, a performance evaluation problem of operational employees in a real case study is considered. The case study is a firm from the food industries where different tomato pastes are produced. In addition, after performance evaluation of the employees, they are ranked based on their performances. As the main contribution of this study, a real-world problem from food industries is focused on and solved by optimisation-based approaches. For this aim, the most important criteria from the literature such as salary, work conditions, responsiveness, motivation, and productivity are selected. A decision framework based on data envelopment analysis (DEA) is used. For this aim, the Russel DEA model is used as the first stage to evaluate the performance of each operational worker (DMU) by determining efficient and inefficient DMUs. As the second stage, an Anderson-Peterson approach based on a modification of the Russel model is proposed to rank the DMUs based on their performances. Finally, based on the obtained results, some comparisons with the other DEA models of the literature is performed and the managerial insights are presented.

Keywords: food industry; performance evaluation; performance ranking; data envelopment analysis; DEA; Russel model.

DOI: 10.1504/IJADS.2025.143075

International Journal of Applied Decision Sciences, 2025 Vol.18 No.1, pp.24 - 39

Received: 25 May 2023
Accepted: 05 Jul 2023
Published online: 03 Dec 2024 *

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