Health, safety and environmental unit performance assessment model under uncertainty (case study: steel industry)
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Abstract
Performance assessment is a critical objective of management systems. As a result of the non-deterministic and qualitative nature of performance indicators, assessments are likely to be influenced by evaluators’ personal judgments. Furthermore, in developing countries, performance assessments by the Health, Safety and Environment (HSE) department are based solely on the number of accidents. A questionnaire is used to conduct the study in one of the largest steel production companies in Iran. With respect to health, safety, and environment, the results revealed that control of disease, fire hazards, and air pollution are of paramount importance, with coefficients of 0.057, 0.062, and 0.054, respectively. Furthermore, health and environment indicators were found to be the most common causes of poor performance. Finally, it was shown that HSE management systems can affect the majority of performance safety indicators in the short run, whereas health and environment indicators require longer periods of time. The objective of this study is to present an HSE-MS unit performance assessment model in steel industries. Moreover, we seek to answer the following question: what are the factors that affect HSE unit system in the steel industry? Also, for each factor, the extent of impact on the performance of the HSE management system in the organization is determined.
Keywords
Performance assessment HSE indices HSE unit FuzzyReferences
- Abbaspour, M., Hosseinzadeh Lotfi, F., Karbasi, A. R., Roayaei, E., & Nikoomaram, H. (2010). Development of a model to assess environmental performance, concerning HSE-MS principles. Environmental Monitoring and Assessment, 165, 517–528.CrossRefGoogle Scholar
- Abbaspour, M., Toutounchian, S., Roayaei, E., & Nassiri, P. (2012). A strategic management model for evaluation of health, safety and environmental performance. Environmental Monitoring and Assessment, 184(5), 2981–2991.CrossRefGoogle Scholar
- Azadeh, A., Mohhamad Fam, M., Khoshnoud, M., & Nikafrouz, M. (2008). Design and implementation of a fuzzy expert system for performance assessment of an integrated health, safety, environment (HSE) and ergonomics system: the case of a gas refinery. Information Sciences, 178(22), 4280–4300.CrossRefGoogle Scholar
- Chakraborty, AB. (2004). Holistic 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, Galgory, Alberta, Canada.Google Scholar
- Dong, G., Yamaguchi, D., & Nagai, M. (2006). A grey-based decision-making approach to the supplier selection problem. Math. Comp. Model, 46(3), 573–581.Google Scholar
- E&P FORUM, (1994). Guidelines for the development and application of health, safety and environmental management systems, E&P Forum.Google Scholar
- European Agency for Safety and Health at Work (2007). Facts 76/EN National economics and occupational safety and health (pp. 157–170). European Agency for Safety and Health at Work, Spain, Bilbao. Google Scholar
- Fang, D., Jiang, Z., Zhang, M., & Wang, H. (2015). An experimental method to study the effect of fatigue on construction workers’ safety performance. Safety Science, 73, 80–91.CrossRefGoogle Scholar
- Glinskiy, V., Serga, L., Khvan, M., & Zaykov, K. (2016). Fuzzy neural networks in the assessment of environmental safety. Procedia CIRP, 40, 614–618.CrossRefGoogle Scholar
- Haas, E. J., & Yorio, P. (2016). Exploring the state of health and safety management system performance measurement in mining organizations. Safety Science, 83, 48–58.CrossRefGoogle Scholar
- Harris, J. R., & Richard, S. C. (2012). Machine safety: new & updated consensus standards. Prof Saf. May, 57(5), 50–57.Google Scholar
- Hopkins, A. (2005). Thinking about process safety indicators. Safety science. Institute of Petroleum. A framework for the use of key performance indicators of major hazards in petroleum refining. London: Energy Institute.Google Scholar
- ISO- 14001. (2015). Environmental management systems—requirements with guidance for use, ISO.Google Scholar
- ISO-45001. (2015). ISO 45001—the new health and safety management standard revision, OSL.Google Scholar
- Kang, J., Zhang, J., & Gao, J. (2016). Improving performance evaluation of health, safety and environment management system by combining fuzzy cognitive maps and relative degree analysis. Safety Science, 87, 92–100.CrossRefGoogle Scholar
- Li, W., Liang, W., Zhang, L., & Tang, Q. (2015). Performance assessment system of health, safety and environment based on experts’ weights and fuzzy comprehensive evaluation. Journal of Loss Prevention in the Process Industries, 35, 95–103.CrossRefGoogle Scholar
- Liu G., Xu H., Wei Y., Wang J. (2013). Analysis of the relationship between safety execution and safety performance, the 19th International Conference on Industrial Engineering and Engineering Management, 749–757.Google Scholar
- Ma, Z., Shao, C., Ma, S., & Ye, Z. (2011). Constructing road safety performance indicators using fuzzy Delphi method and grey Delphi method. Expert Systems with Applications, 38(3), 1509–1514.CrossRefGoogle Scholar
- Mohan Rao, U., Sood, Y. R., & Jarial, R. K. (2015). Subtractive clustering fuzzy expert system for engineering applications. Procedia Computer Science, 48, 77–83.CrossRefGoogle Scholar
- Mohammadfam, I., NaslSaraji, G., Kianfar, A., & Mahmoudi, S. (2013). Developing the health, safety and environment excellence instrument. Iranian Journal of Environmental Health Sciences & Engineering, 10(7), 2–7.Google Scholar
- Nikoomaram, H. (2009). Efficiency measurement & performance of health, safety and environment system through the design of mathematical models, Science and Research Branch, Islamic Azad University.Google Scholar
- Nouri, J., Abbaspour, M., Roayaei, E., & Nikoomaram, H. (2005). Comparison environment performance HSEQ management systems, regarding the international and Iranian of oil and gas general contractors. American Journal of Appleid Sciences, 2(1), 447–451.CrossRefGoogle Scholar
- Nordlöf, H., Wiitavaara, B., Winblad, U., Wijk, K., & Westerling, R. (2015). Safety culture and reasons for risk-taking at a large steel-manufacturing company: investigating the worker perspective. Safety Science, 73, 126–135.CrossRefGoogle Scholar
- Omidvari, M., & Lashgary, Z. (2014). Presenting a model for safety program performance assessment using grey system theory. Grey Systems: Theory and Application, 4(2), 287–296.CrossRefGoogle Scholar
- Omidvari, M., & Ghandehari, M. (2014). Urban environmental management performance assessment by fuzzy analytical hierarchy processing (FAHP). Journal of Environmental Accounting and Management, 2(1), 31–41.CrossRefGoogle Scholar
- Pelletier, F. J. (2000). Review of metamathematics of fuzzy logics. The Bulletin of Symbolic Logic, 6(3), 342–346.CrossRefGoogle Scholar
- Santos, S., Belton, V., Howick, S., (2002). Adding value to performance measurement by using system dynamics and multicriteria analysis. Management science theory method and practice, Research Paper No. 2001/19.Google Scholar
- Taghdisi, M., Alizadeh, S. (2008). Integrated management system of HSE. published by Daneshparvar.Google Scholar
- Wang, Y., Mingbang, T., Dongbo, W., Qiang, Z., Shihui, S., Shuhuang, L., (2012). Study on the HSE Management at Construction Site of Oil and Gas Processing Area. Journal of Procedia Engineering, 45,231–234.Google Scholar
- Yang, Y., & MacLean, R. (2004). A template for assessing corporate performance: benchmarking EHS organizations. Journal of Environmental Quality Management, 13(3), 11–23.CrossRefGoogle Scholar
- Yildiz, G. (2007). Developing a health, safety and environment (HSE) management performance. TUE. Department Technology Management, Series Master Theses Operations Management and Logistics, nr.7 available at: http://alexandria.tue.nl/extra1/afstversl/tm/yildiz2007.pdf.
- Zhang, J. J., Wu, D. S., & Olson, D. L. (2005). The method of grey related analysis to multiple attribute decision making programs with interval numbers. Mathematical and Computer Modeling, 42(9–10), 991–999.CrossRefGoogle Scholar
- Zhao, R., & Govind, R. (1991). Defuzzification of fuzzy intervals. Fuzzy Sets and Systems, 43, 45–55.CrossRefGoogle Scholar