The Performance of HSE Management System Using Fuzzy Data Envelopment Analysis (FDEA) Model in the Smelting Industry
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Abstract
An accurate assessment of performance of Health, Safety, and Environment (HSE) system allows managers to identify strengths and weaknesses in the HSE system. This paper mainly was aimed to assess the performance of HSE management system using Fuzzy Data Envelopment Analysis (FDEA) model in the smelting industry. The indices of performance evaluation of process HSE management systems of smelting industries were weighted and ranked by Fuzzy System. Then, based on the weights of performance indices and data collected in the case study, performance was evaluated via DEA. The FDEA model was solved using a network model with constant returns to scale. According to the results, environment was the most important index of efficiency. Number of HSE Expert (0.16) and annual HSE Budget per employee (0.17) were the most important input indices in HSE performance system. Ergonomic risk control (0.08), Fire source control (0.08), and waste water quality (0.08) were the most important output indices in HSE performance system, respectively. The different performance criteria or safety performance with varying levels of significance can be used in each step of the assessment process. Budget of HSE was ranked the most important of HSE performance input indicators. This index affects other input indicators. Risk control in the three areas of safety, health, and the environment was one of the most important indicators of performance appraisal output. To evaluate systems safety, a performance evaluation system based on multiple inputs and multi-outputs was more applicable than other systems.
[1] Omidvari M, Lashgary Z, Presenting a model for safety program performance assessment using grey system theory, Grey Systems: Theory and Application, 2014; 4(2): 287-296.
[2] Keeley D, Turner SH, Harper H, Management of the UK HSE failure rate and event date, Journal of Loss Prevention in the Process Industries, 2011; 24(3): 237-241
[3] Wang Yu, Mingbang T, Dongbo W, Qiang Zh, Shihui Sh, Shuhuang L, Study on HSE Management at construction site of oil and gas Processing Area, Procedia Engineering, 2012; 45: 231-234.
[4] Harris JR, Richard SC, Machine Safety: New & Updated Consensus Standards. Prof Saf. May, 2012; 57(5): 50-57.
[5] Fang D, Jiang Z, Zhang M, Wang H, An experimental method to study the effect of fatigue on construction workers safety performance, Safety Science, 2015; 73: 80-91.
[6] Chakraborty AB, Hilistic Approach to HSE Performance Assessment,Monitoring and Management in an Integrated Upstream Oil/Gas corporation. SPE 86744, Health, Safety and Environment in Oil and Gas Exploration and Production, 2004; Cadana.
[7] Honkasalo A, Occupational health and safety and environmental management systems. Environmental Science & Policy, 2000; 3(1): 39–45.
[8] May PH, Dabbs AW, Fernández-Dávila PD, Vinha V, Zaidenweber N, A corporate approach to social monitoring and assessment for development in a fragile environment. Environmental Monitoring and Assessment, 2002; 76(1): 125–134.
[9] Nouri J, Abbaspour M, Roayaei E, Nikoomaram H, Comparison of environmental performance—HSEQ management system, regarding the international and Iranian oil and gas general contractors. American Journal of Applied Sciences, 2005; 2(1): 447–451.
[10] Maclean R, Superior Environmental, Health and Safety Performance; What is it?, Journal of Environmental Quality Management, 2003; 13(2): 13-20.
[11] Omidvari M, Ghandehari M, Urban Environmental Management Performance Assessment by Fuzzy Analytical Hierarchy Processing (FAHP). Journal of Environmental Accounting and Management, 2014; 2(1): 31-41.
[12] Chiou H-K, Tzeng G-H, Fuzzy Multiple-Criteria Decision-Making Approach for Industrial Green Engineering. Environmental Management, 2002; 30(6): 816–830.
[13] Yang Y, MacLean R, A template for assessing corporate performance: Benchmarking EHS organization. Journal of Environmental Quality Management, 2004; 13(3), 11–23.
[14] Dong G, Yamaguchi D, Nagai M, A grey-based decision-making approach to the supplier selection problem”, Math. Comp. Model, 2006; 46(3): 573-581.
[15] Kang J, Zhang J, Gao J, Improving performance evaluation of health, safety and environment management system by combining fuzzy cognitive maps and relative degree analysis. Safety Science, 2016; 87: 92–100.
[16] Shamaii A, Omidvari M, Hosseinzadeh Lotfi F, Health, safety and environmental unit performance assessment model under uncertainty (case study: steel industry), Journal of Environment monitoring & Assess, 2017; 189(1): 42.
[17] Nordlöf H, Wiitavaara B, Winblad U, Wijk K, Westerling R, Safety culture and reasons for risk-taking at a large steel-manufacturing company: investigating the worker perspective. Safety Science, 2015; 73: 126-135.
[18] Zhou P, Ang B W, Poh K L, A survey of data envelopment analysis in energy and environmental studies. European Journal of Operational Research, 2008; 189(1): 1–18.
[19] Wang J, Zhao T, Zhang X, Environmental assessment and investment strategies of provincial industrial sector in China — Analysis based on DEA, Environmental Impact Assessment Review, 2016; 60: 156-168.
[20] Li W, Liang W, Zhang L, Tang Q, Performance assessment system of health, safety and environment based on experts' weights and fuzzy comprehensive evaluation, Journal of Loss Prevention in the Process Industries 2015; 35: 95-103.
[21] Jahanshahloo GR, Memariani A, Hosseinzadeh Lotfi F, Shoja N, A feasible interval for weights in data envelopment analysis. Applied Mathematics and Computation, 2005; 160(1): 155–168.
[22] Charnes A, Cooper WW, Rhodes E, Measuring the efficiency of decision making units. European Journal of Operational Research, 1978; 2(6):429–444.
[23] Susaeta A, Adams DC, Carter DR, Dwivedi P, Climate Change and Ecosystem Services Output Efficiency in Southern Loblolly Pine Forests, Environmental Management, 2016; 58(3): 417–430.
[24] Mohammadfam I, Mahmoudi S, Kianfar A, Development of the Health, Safety and Environment Excellence Instrument: a HSE-MS Performance Measurement Tool, Procedia Engineering, 2012; 45: 194-198.
[25] American Petroleum Institute, Model environmental, health and safety (EHS) management system. API Publication, 1998; report no. 9100A.
[26] Banker R D, Charnes A, Cooper W W, Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 1984; 30(9): 1078–1092.
[27] Lee SH, Using Fuzzy AHP to develop Intellectual Capital evaluation model for assessing their performance contribution in a University. Expert Systems with Applications 2010, 37, 4941–4947.
[28] Beriha G.S, Patnaik B, Mahapatra S S, Padhee S, Assessment of Safety Performance in Indian Industries using Fuzzy approach. Journal of Expert System with applications, 2012; 39(3); 3311-3323.
[29] Hanrui B, Xun A, Reliability Test on Oil Field Efficiency with DEA. Journal of Energy Procedia, 2011; 5:1473-1477.
[30] Azadeh A, Hasani Farmand A, Jiryaei Sharahi Z, 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, Journal of Loss Prevention in the Process Industries, 2012; 25(3); 594–603.
[31] Abbaspour M, Hosseinzadeh Lotfi F, Karbasi A R, Roayaei E, Nikoomaram H, Development of a model to assess environmental performance, concerning HSE-MS principles. Journal of Environment monitoring & Assess, 2010: 165(1); 517-528.
[2] Keeley D, Turner SH, Harper H, Management of the UK HSE failure rate and event date, Journal of Loss Prevention in the Process Industries, 2011; 24(3): 237-241
[3] Wang Yu, Mingbang T, Dongbo W, Qiang Zh, Shihui Sh, Shuhuang L, Study on HSE Management at construction site of oil and gas Processing Area, Procedia Engineering, 2012; 45: 231-234.
[4] Harris JR, Richard SC, Machine Safety: New & Updated Consensus Standards. Prof Saf. May, 2012; 57(5): 50-57.
[5] Fang D, Jiang Z, Zhang M, Wang H, An experimental method to study the effect of fatigue on construction workers safety performance, Safety Science, 2015; 73: 80-91.
[6] Chakraborty AB, Hilistic Approach to HSE Performance Assessment,Monitoring and Management in an Integrated Upstream Oil/Gas corporation. SPE 86744, Health, Safety and Environment in Oil and Gas Exploration and Production, 2004; Cadana.
[7] Honkasalo A, Occupational health and safety and environmental management systems. Environmental Science & Policy, 2000; 3(1): 39–45.
[8] May PH, Dabbs AW, Fernández-Dávila PD, Vinha V, Zaidenweber N, A corporate approach to social monitoring and assessment for development in a fragile environment. Environmental Monitoring and Assessment, 2002; 76(1): 125–134.
[9] Nouri J, Abbaspour M, Roayaei E, Nikoomaram H, Comparison of environmental performance—HSEQ management system, regarding the international and Iranian oil and gas general contractors. American Journal of Applied Sciences, 2005; 2(1): 447–451.
[10] Maclean R, Superior Environmental, Health and Safety Performance; What is it?, Journal of Environmental Quality Management, 2003; 13(2): 13-20.
[11] Omidvari M, Ghandehari M, Urban Environmental Management Performance Assessment by Fuzzy Analytical Hierarchy Processing (FAHP). Journal of Environmental Accounting and Management, 2014; 2(1): 31-41.
[12] Chiou H-K, Tzeng G-H, Fuzzy Multiple-Criteria Decision-Making Approach for Industrial Green Engineering. Environmental Management, 2002; 30(6): 816–830.
[13] Yang Y, MacLean R, A template for assessing corporate performance: Benchmarking EHS organization. Journal of Environmental Quality Management, 2004; 13(3), 11–23.
[14] Dong G, Yamaguchi D, Nagai M, A grey-based decision-making approach to the supplier selection problem”, Math. Comp. Model, 2006; 46(3): 573-581.
[15] Kang J, Zhang J, Gao J, Improving performance evaluation of health, safety and environment management system by combining fuzzy cognitive maps and relative degree analysis. Safety Science, 2016; 87: 92–100.
[16] Shamaii A, Omidvari M, Hosseinzadeh Lotfi F, Health, safety and environmental unit performance assessment model under uncertainty (case study: steel industry), Journal of Environment monitoring & Assess, 2017; 189(1): 42.
[17] Nordlöf H, Wiitavaara B, Winblad U, Wijk K, Westerling R, Safety culture and reasons for risk-taking at a large steel-manufacturing company: investigating the worker perspective. Safety Science, 2015; 73: 126-135.
[18] Zhou P, Ang B W, Poh K L, A survey of data envelopment analysis in energy and environmental studies. European Journal of Operational Research, 2008; 189(1): 1–18.
[19] Wang J, Zhao T, Zhang X, Environmental assessment and investment strategies of provincial industrial sector in China — Analysis based on DEA, Environmental Impact Assessment Review, 2016; 60: 156-168.
[20] Li W, Liang W, Zhang L, Tang Q, Performance assessment system of health, safety and environment based on experts' weights and fuzzy comprehensive evaluation, Journal of Loss Prevention in the Process Industries 2015; 35: 95-103.
[21] Jahanshahloo GR, Memariani A, Hosseinzadeh Lotfi F, Shoja N, A feasible interval for weights in data envelopment analysis. Applied Mathematics and Computation, 2005; 160(1): 155–168.
[22] Charnes A, Cooper WW, Rhodes E, Measuring the efficiency of decision making units. European Journal of Operational Research, 1978; 2(6):429–444.
[23] Susaeta A, Adams DC, Carter DR, Dwivedi P, Climate Change and Ecosystem Services Output Efficiency in Southern Loblolly Pine Forests, Environmental Management, 2016; 58(3): 417–430.
[24] Mohammadfam I, Mahmoudi S, Kianfar A, Development of the Health, Safety and Environment Excellence Instrument: a HSE-MS Performance Measurement Tool, Procedia Engineering, 2012; 45: 194-198.
[25] American Petroleum Institute, Model environmental, health and safety (EHS) management system. API Publication, 1998; report no. 9100A.
[26] Banker R D, Charnes A, Cooper W W, Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 1984; 30(9): 1078–1092.
[27] Lee SH, Using Fuzzy AHP to develop Intellectual Capital evaluation model for assessing their performance contribution in a University. Expert Systems with Applications 2010, 37, 4941–4947.
[28] Beriha G.S, Patnaik B, Mahapatra S S, Padhee S, Assessment of Safety Performance in Indian Industries using Fuzzy approach. Journal of Expert System with applications, 2012; 39(3); 3311-3323.
[29] Hanrui B, Xun A, Reliability Test on Oil Field Efficiency with DEA. Journal of Energy Procedia, 2011; 5:1473-1477.
[30] Azadeh A, Hasani Farmand A, Jiryaei Sharahi Z, 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, Journal of Loss Prevention in the Process Industries, 2012; 25(3); 594–603.
[31] Abbaspour M, Hosseinzadeh Lotfi F, Karbasi A R, Roayaei E, Nikoomaram H, Development of a model to assess environmental performance, concerning HSE-MS principles. Journal of Environment monitoring & Assess, 2010: 165(1); 517-528.
| Files | ||
| Issue | Vol 11 No 1 (2019) | |
| Section | Original Article(s) | |
| Published | 2019-03-03 | |
| Keywords | ||
| Performance assessment FDEA HSE Fuzzy Network Models | ||
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
How to Cite
1.
Shamaie A, Omidvari M, Hsseinzadeh Lotfi F. The Performance of HSE Management System Using Fuzzy Data Envelopment Analysis (FDEA) Model in the Smelting Industry. Int J Occup Hyg. 2019;11(1):41-57.
