An Occupational Disease Assessment of the Mining Industry’s Occupational Health and Safety Management System Based on FMEA and an Improved AHP Model

Sustainability - Tập 9 Số 1 - Trang 94
Jiangdong Bao1, Jan Johansson1, Jingdong Zhang2
1Centre of Advanced Mining and Metallurgy, CAMM, Department of Human Work Science, Luleå University of Technology, Luleå 97751, Sweden
2Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430000, China

Tóm tắt

In order to effectively analyze, control, and prevent occupational health risk and ensure the reliability of the weight, a method based on FMEA (failure mode and effects analysis) and an improved AHP (analytic hierarchy process) model was established. The occupational disease of the occupational health and safety management system (OHSAS18001) of the mining industry in the southwest of Hubei Province is taken as an example, the three most significant risk factors (dust, noise, and gas) are selected as the research objects, the FMEA method is used, an expert questionnaire is carried out to establish the comprehensive assessment matrix of each indicator according to the RPN (risk priority number) value, and, finally, a case study is conducted through the FMEA and the improved AHP model The results show that the occupational disease of the mining industry’s occupational health and safety management system belongs to a “general” grade, which is in line with the physical examination results of the Center for Disease Control and Prevention of Ezhou City in 2015. The improved AHP and FMEA comprehensive assessment model of occupational disease is proved feasible. This method can be incorporated in the process management of the enterprise for the purpose of occupational disease prevention in advance and continuous improvement on the occupational health and safety of employees. Additionally, the area research on this integrated model should be optimized continually in actual situations.

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Tài liệu tham khảo

Occupational Disease Hubei Provincial Safety Production Supervision Authority, Available online: http://www.hubeisafety.gov.cn/ajj_new/index_test1.asp?topnav=%D6%F7%D2%B3.

Occupational Disease Prevention Law Hubei Provincial Safety Production Supervision Authority, Available online: http://www.hubeisafety.gov.cn/ajj_new/shuxingcaidan/articlemore.asp?menuid=152 &menu1=%D6%B0%D2%B5%CE%C0%C9%FA.

General Administration of Quality Supervision, and Inspection and Quarantine of People’s Republic of China (2001). National Standards of the People’s Republic of China, GB/T28001-2011 Occupational Health and Safety Management Systems Requirements.

Stamatis, D.H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution, ASQ Quality Press.

Wilsonnhm, O., and Dell, S.W. (1999). Computer-Aided Scheduling, Springer.

2016, Classical and fuzzy FMEA risk analysis in a sterilization unit, Comput. Ind. Eng., 101, 286, 10.1016/j.cie.2016.09.015

Wang, 2002, The application of FMEA in quality management, Qual. Process., 11, 60

Hu, Y.Y., and He, E.H. (2000). Comprehensive Evaluation Method, Science Press.

Wang, X.Z. (2003). Fuzzy Spatial Information Processing, Wuhan University Press.

Cui, 2007, Ship safety assessment based on FMEA and fuzzy comprehensive evaluation methods, J. Harbin Eng. Univ., 28, 263

Chin, 2008, Development of a fuzzy FMEA based product design system, Int. J. Adv. Manuf. Technol., 36, 633, 10.1007/s00170-006-0898-3

Geum, 2011, A systematic approach for diagnosing service failure: Service-specific FMEA and grey relational analysis approach, Math. Comput. Model., 54, 3126, 10.1016/j.mcm.2011.07.042

Li, 2007, Modeling and reasoning technique of multiple failures based on polychromatic sets, Comput. Integr. Manuf. Syst., 13, 643

Gilchrist, 1993, Modeling failure mode and effect analysis, Int. J. Qual. Reliab. Manag., 10, 16, 10.1108/02656719310040105

Wang, 2009, Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean, Expert Syst. Appl., 36, 1195, 10.1016/j.eswa.2007.11.028

Bowles, 2004, An assessment of PRN prioritization in a failure modes effects and criticality analysis, J. IEST, 47, 51, 10.17764/jiet.47.1.y576m26127157313

Wu, 2013, Correlated FMEA method of complex system with linguistic vagueness, J. Zhejiang Univ. Eng. Sci., 47, 782

Liu, 2013, Risk evaluation approaches in failure mode and effects analysis: A literature review, Expert Syst. Appl., 40, 828, 10.1016/j.eswa.2012.08.010

Braglia, 2003, Fuzzy TOPSIS approach for failure mode, effects and criticality analysis, Qual. Reliab. Eng. Int., 19, 425, 10.1002/qre.528

Chang, 2010, Reprioritization of failures in a silane supply system using an intuitionistic fuzzy set ranking technique, Soft. Comput., 14, 285, 10.1007/s00500-009-0403-7

Chang, 2011, Evaluating the risk of failure using the fuzzy OWA and DEMATEL method, J. Intell. Manuf., 22, 113, 10.1007/s10845-009-0266-x

Kutlu, 2012, Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP, Expert Syst. Appl., 39, 61, 10.1016/j.eswa.2011.06.044

Geng, 2009, Risk evaluation method in failure mode and effects analysis based on failure cause-effect chain, Comput. Integr. Manuf. Syst., 15, 2473

Wang, 2012, Risk evaluation method in FMEA based on dependent linguistic ordered weighted geometric operator, J. Zhejiang Univ. Eng. Sci., 46, 182

Lolli, 2015, FLOWSORT-GDSS—A novel group multi-criteria decision support system for sorting problems with application to FMEA, Expert Syst. Appl., 42, 6342, 10.1016/j.eswa.2015.04.028

Tang, 2009, An approach to budget allocation for an aerospace company—Fuzzy analytic hierarchy process and artificial neural network, Neurocomputing, 7, 3477, 10.1016/j.neucom.2009.03.020

Zhang, H., Zou, S.P., and Su, F. (1992). Fuzzy Mathematics and Its Application, Coal Industry Press.

Azadeh, 2016, An integrated fuzzy analytic hierarchy process and fuzzy multiple-criteria decision-making simulation approach for maintenance policy selection, Simulation, 1, 3, 10.1177/0037549715616686

Guo, 2004, AHP on the basis of index number scale and its usage, J. Nantong Inst. Technol. (Nat. Sci.), 3, 4

Wu, 2004, Shortcomings of analytical hierarchy process and the path to improve the method, J. Beijing Norm. Univ. (Nat. Sci.), 2, 264

Wei, 2000, An algorithm to improve the consistency of a comparison matrix, Syst. Eng. Theory Pract., 20, 62

Wang, 1995, An overview of priority methods of comparison matrix, J. Manag. Sci. China, 5, 101

Lolli, 2014, New AHP-based approaches for multi-criteria inventory classification, Int. J. Prod. Econ., 156, 62, 10.1016/j.ijpe.2014.05.015

Chen, 2011, Eco-environmental quality appraisal of yellow river delta wetland using the improved AHP method, South-to-North Water Divers. Water Sci. Technol., 9, 99, 10.3724/SP.J.1201.2011.01099

Quyen, 2016, Application of fuzzy-analytic hierarchy process algorithm and fuzzy load profile for load shedding in power systems, Int. J. Electr. Power Energy Syst., 77, 178, 10.1016/j.ijepes.2015.11.044

Wang, S.Y. (2003). Failure Mode and Effect Analysis (FMEA), Zhongshan University Press.

2008, Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management, Inf. Sci., 178, 1717, 10.1016/j.ins.2007.10.016

Shumon, 2016, Fuzzy analytical hierarchy process extent analysis for selection of end of life electronic products collection system in a reverse supply chain, Proc. Inst. Mech. Eng. Part B J. Eng. Manuf., 1, 157, 10.1177/0954405414553980

Bhatt, R., and Macwan, J.E.M. (2016). Fuzzy logic and analytic hierarchy process–based conceptual model for sustainable commercial building assessment for India. J. Archit. Eng., 22.

Sen, 2010, Pre-selection of suppliers through an integrated fuzzy analytic hierarchy process and max-min methodology, Int. J. Prod. Res., 6, 1603, 10.1080/00207540802577946

Ashtiani, 2016, Trust modeling based on a combination of fuzzy analytic hierarchy process and fuzzy VIKOR, Soft Comput., 1, 399, 10.1007/s00500-014-1516-1

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Sustainability

Tập 9 Số 1

94

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