Performance assessment and optimization of HSE management systems with human error and ambiguity by an integrated fuzzy multivariate approach in a large conventional power plant manufacturer |
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| Authors: | A Azadeh A Hasani Farmand Z Jiryaei Sharahi |
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| Institution: | 1. Department of Civil Engineering, Engineering Research Institution of Natural Disaster Shakhes Pajouh, Isfahan, Iran;2. School of Architecture and Environmental Design, Iran University of Science and Technology, Tehran, Iran;3. Architecture Faculty of Islamic Azad University of Tabriz, Tabriz, Iran;4. Architecture Faculty of University of Applied Science And Technology, Tehran, Iran;1. Universidad Icesi, Calle18 No. 122-135, Cali, Colombia;2. Freeman School of Business, Tulane University, 7 McAlister Dr., New Orleans, LA, USA;1. Department of Industrial Engineering, South-Tehran Branch, Islamic Azad University, Tehran, Iran;2. Business Systems and Analytics Department, Lindback Distinguished Chair of Information Systems and Decision Sciences, La Salle University, Philadelphia, PA 19141, USA;3. Business Information Systems Department, Faculty of Business Administration and Economics, University of Paderborn, D-33098 Paderborn, Germany;1. Safetec Nordic, Klæbuveien 194, N-7037 Trondheim, Norway;2. SINTEF, Box 4760 Sluppen, N-7465 Trondheim, Norway;3. NTNU Social Research Ltd., Dragvoll Allé 38 B, N-7491 Trondheim, Norway |
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| Abstract: | This study presents an integrated approach performance assessment and optimization of integrated health safety environment (HSE) management system-based on fuzzy data envelopment analysis (FDEA) considering the possible human error and data vagueness in a conventional power plant manufacturer. In doing so, it corresponds and integrates its registered HSE-MS with OHSAS 18001:2007 and ISO 14001:2004 to evaluate multiple inputs and outputs of over 35 subsidiary HSE divisions with parallel mission and objectives simultaneously. The HSE divisions of each subsidiary are considered as decision making units (DMUs). Not only doing this refutable method rank their relevant performance efficiencies in certain and uncertain conditions, but also it determines efficient target indices for each DMU, and could assure continuous improvement in the organization. This would help managers to identify the areas of strengths and weaknesses in their HSE management system and set improvement target plan for the related HSE management system. In this model based on Deming’s continuous improvement cycle, managers are also able to evaluate the prevailing strengths and weaknesses and target their improvement strategies at the relevant stages of the cycle. |
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