Title: Performance evaluation of the public transportation system in Esfahan Steel Company from the production line employees' perspective with data envelopment analysis approach

Authors: Parisa Pendar; Farimah Mokhatab-Rafiei; Seyed Akbar Nilipour-Tabatabaei

Addresses: Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran ' Department of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran ' Department of Management, Esfahan University, Shakhespajouh Institute, Isfahan, Iran

Abstract: Public transportation is considered as one of the important parts in factories transportation systems which are known as 'employees' public transportation system'. In order to evaluate this system in Esfahan Steel Company, merely from the production line staff perspective, in this study the factors effective on employees' satisfaction in terms of the transportation system quality were identified only through the interviewing with a group of production line workers. Final data obtained through interviewing and questionnaire were collected during four months from April to July 2015 and were considered as inputs of the study decision making units (DMUs) in data envelopment analysis (DEA). Solving the above mentioned model via Software LINGO 16.0. and DEA Frontier, efficient and inefficient routes of the factory were identified and ranked completely based on production line employees' perspective; i.e., among 27 routes, 16 were recognised inefficient. Finally, sensitivity analysis on ε value was conducted in the modified model of this study; in addition, creating a virtual unit was done accordingly.

Keywords: performance evaluation; efficiency; employee's public transport; public transportation; data envelopment analysis; DEA; ranking; Esfahan Steel Company; sensitivity analysis; output-oriented CCR model.

DOI: 10.1504/IJPQM.2018.089154

International Journal of Productivity and Quality Management, 2018 Vol.23 No.2, pp.137 - 162

Received: 05 Jul 2016
Accepted: 25 Nov 2016
Published online: 08 Jan 2018 *

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