System Engineering and Productivity

System Engineering and Productivity

Human Resource Performance Evaluation Model Using Mamdani Fuzzy Inference in a Manufacturing Company

Document Type : Research Paper

Authors
1 Corresponding author: M.Sc., Department of Industrial Engineering, Faculty of Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 Assistant Professor, Department of Industrial Engineering, Faculty of Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
3 Assistant Professor, Department of Industrial Engineering, Faculty of Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran
Abstract
Nowadays, considering the importance of human resources in organizations and its important role in the growth and achievement of organizational goals, many managers must have the ability to retain or hire an efficient and expert workforce, therefore, evaluating human resource performance can be very beneficial and effective in increasing the productivity of organizations. In this study, the performance of 30 employees of a door handle and accessories manufacturing company was evaluated. This study has four input variables, including experience, training hours, working hours, and absenteeism rate, and an output called performance index in fuzzy modeling was analyzed. The results of the fuzzy modeling method using Matlab 2018b software from the fuzzy method (Mamdani) showed that 3 employees with performance indices of 8.15, 7.92, and 7.91 have the highest efficiency, whose index is higher than 8 (employees 6, 25, and 30). Among them, employee 25 has the highest index with PI = 8.15, and the lowest performance index is related to employee 29, which is equal to PI = 5.66.

Highlights

  • Evaluating human resources performance is important to increase the productivity of organizations.
  • The output of this research is the performance index.
  • The fuzzy modeling method is used using MATLAB software.

Keywords
Subjects

Copyright ©, Maryam Eslami, Amir Azizi, Hamed Kazemipoor

 

License

This article is released under the Creative Commons Attribution (CC BY 4.0) license. Anyone is free to copy, share, translate, and adapt this article for any purpose, whether commercial or non-commercial, as long as proper citation is given to the authors and original publication.

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Volume 4, Issue 2 - Serial Number 11
Serial No. 11, Summer Quarterly
Summer 2024
Pages 47-61

  • Receive Date 23 July 2023
  • Revise Date 06 February 2024
  • Accept Date 25 May 2024
  • First Publish Date 21 September 2024
  • Publish Date 21 September 2024