×

Occupational risk assessment with grey system theory. (English) Zbl 07191577

Summary: The article proposes a new method of occupational risk assessment which uses the grey decision model. The method is called the grey occupational risk assessment model (GORAM). The presented method allows for combining measurable and qualitative factors in the process of occupational risk assessment through the use of expert knowledge. This method can be applied to the multifaceted occupational risk assessment of complex and uncertain sociotechnical systems. First, the article presents problems with currently used methods of occupational risk assessment in the context of the possibility of solving them using the methods of the grey system theory. Secondly, the algorithm of the GORAM method is presented. Finally, the developed GORAM model was used in a case study involving the position of a mechanic in the technical department of a production company.

MSC:

90Bxx Operations research and management science
PDFBibTeX XMLCite
Full Text: DOI

References:

[1] Akinci, C.; Sadler-Smith, E., Intuition in management research: a historical review, Int J Manag Rev, 14, 1, 104-122 (2012)
[2] Aven, T., Implications of black swans to the foundations and practice of risk assessment and management, Reliab Eng Syst Saf, 134, 83-91 (2015)
[3] Aven, T., Risk assessment and risk management: review of recent advances on their foundation, Eur J Oper Res, 253, 1, 1-13 (2016) · Zbl 1346.91102
[4] Azadeh-Fard, N.; Schuh, A.; Rashedi, E.; Camelio, JA, Risk assessment of occupational injuries using accident severity grade, Saf Sci, 76, 160-167 (2015)
[5] Beach, LR; Lipshitz, R., Why classical decision theory is an inappropriate standard for evaluating and aiding most human decision making, Decis Mak Aviat, 85, 835-847 (2017)
[6] Berger, J., Statistical decision theory: foundations, concepts, and methods (2013), Berlin: Springer, Berlin
[7] Bouzon, M.; Govindan, K.; Rodriguez, CMT, Evaluating barriers for reverse logistics implementation under a multiple stakeholders’ perspective analysis using grey decision making approach, Resour Conserv Recycl, 128, 315-335 (2018)
[8] Delcea, C., Grey systems theory in economics-a historical applications review, Grey Syst Theory Appl, 5, 2, 263-276 (2015)
[9] Deng, X.; Deng, Y., D-AHP method with different credibility of information, Soft Comput, 23, 2, 683-691 (2019)
[10] Fauquet-Alekhine, P.; Le Bellu, S.; Buchet, M.; Bertoni, J.; Bouhours, G.; Daviet, F.; Lahlou, S., Risk assessment for subjective evidence-based ethnography applied in high risk environment: improved protocol, Adv Res, 16, 3, 1-15 (2018)
[11] Ho, W.; Ma, X., The state-of-the-art integrations and applications of the analytic hierarchy process, Eur J Oper Res, 267, 2, 399-414 (2018) · Zbl 1403.90414
[12] Hodgkinson, GP; Sadler-Smith, E.; Burke, LA; Claxton, G.; Sparrow, PR, Intuition in organizations: implications for strategic management, Long Range Plan, 42, 3, 277-297 (2009)
[13] Kariuki, SG; Lowe, K., Integrating human factors into process hazard analysis, Reliab Eng Syst Saf, 92, 16, 1764-1773 (2007)
[14] Karr-Wisniewski, P.; Lu, Y., When more is too much: operationalizing technology overload and exploring its impact on knowledge worker productivity, Comput Hum Behav, 26, 5, 1061-1072 (2010)
[15] Klir, GJ; Yuan, B., Fuzzy sets and fuzzy logic: theory and applications, 563 (1995), Upper Saddle River: Prentice Hall Inc., Upper Saddle River
[16] Kokangül, A.; Polat, U.; Dağsuyu, C., A new approximation for risk assessment using the AHP and Fine Kinney methodologies, Saf Sci, 91, 24-32 (2017)
[17] Kuempel, ED; Sweeney, LM; Morris, JB; Jarabek, AM, Advances in inhalation dosimetry models and methods for occupational risk assessment and exposure limit derivation, J Occup Environ Hyg, 12, sup1, S18-S40 (2015)
[18] LaValle, S.; Lesser, E.; Shockley, R.; Hopkins, MS; Kruschwitz, N., Big data, analytics and the path from insights to value, MIT Sloan Manag Rev, 52, 2, 21 (2011)
[19] Liu, SF; Yuan, WF, Multi-attribute intelligent grey target decision model, Control Decis, 25, 8, 1159-1163 (2010) · Zbl 1240.90214
[20] Liu, SF; Yang, Y.; Forrest, J., Grey data analysis. Method, models and applications (2016), Berlin: Springer, Berlin
[21] Luhmann, N., Organization and decision, 138 (2018), Cambridge: Cambridge University Press, Cambridge
[22] Lybeck, E., The black swan: the impact of the highly improbable (2017), London: Macat Library, London
[23] Mierzwiak, R.; Xie, N.; Nowak, M., New axiomatic approach to the concept of grey information, Grey Syst Theory Appl, 8, 2, 199-209 (2018)
[24] Mierzwiak, R.; Xie, N.; Dong, W., Classification of research problems in grey system theory based on grey space concept, J Grey Syst, 31, 1, 100-111 (2019)
[25] Ozdemir, Y.; Gul, M.; Celik, E., Assessment of occupational hazards and associated risks in fuzzy environment: a case study of a university chemical laboratory, Hum Ecol Risk Assess Int J, 23, 4, 895-924 (2017)
[26] Rezaei, J., Best-worst multi-criteria decision-making method, Omega, 53, 49-57 (2015)
[27] Ruan, AQ; Wang, YN, The multiple attribute decision model of grey targets based on grey potential degree, Grey Syst Theory Appl, 7, 3, 365-375 (2017)
[28] Stanton, NA; Harvey, C., Beyond human error taxonomies in assessment of risk in sociotechnical systems: a new paradigm with the EAST ‘broken-links’ approach, Ergonomics, 60, 2, 221-233 (2017)
[29] Sun, H.; Dang, Y.; Mao, W., A decision-making method with grey multi-source heterogeneous data and its application in green supplier selection, Int J Environ Res Pub Health, 15, 3, 446 (2018)
[30] Swuste, P., “You will only see it, if you understand it” or occupational risk prevention from a management perspective, Hum Factors Ergon Manuf Serv Ind, 18, 4, 438-453 (2008)
[31] Vaishnavi B, Yarrakula K, Karthikeyan J, Thirumalai C (2017) An assessment framework for precipitation decision making using AHP. In: 2017 11th international conference on intelligent systems and control (ISCO). IEEE, pp 418-421
[32] Wiecek-Janka, E.; Nowak, M.; Borowiec, A., Application of the GDM model in the diagnosis of crises in family businesses, Grey Syst Theory Appl, 9, 1, 114-127 (2019)
[33] Wu, Y.; Hu, Y.; Lin, X.; Li, L.; Ke, Y., Identifying and analyzing barriers to offshore wind power development in China using the grey decision-making trial and evaluation laboratory approach, J Clean Prod, 189, 853-863 (2018)
[34] Xie, N., Explanations about grey information and framework of grey system modelling, Grey Syst Theory Appl, 7, 2, 179-193 (2017)
[35] Yao, Y., Three-way decisions with probabilistic rough sets, Inf Sci, 180, 3, 341-353 (2010)
[36] Yule, S.; Flin, R.; Murdy, A., The role of management and safety climate in preventing risk-taking at work, Int J Risk Assess Manag, 7, 2, 137 (2007)
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.