RISK MANAGEMENT IN THE CEMENT INDUSTRY - IMPROVING THE RISK ASSESSMENT OUTCOMES BY DEVELOPING OF A NEW METHODOLOGY FOR PRIORITIZING THE TREATMENT OPTIONS

Constantin Cristian DEOPALE, Liviu Daniel GHICULESCU, Bogdan Ionut CRISTEA

Abstract


In the context of an accelerated transformation of cement manufacturing, the efficient allocation of limited resources for risk treatment becomes a critical business-decision factor. The FMEA is a risk assessment method widely used in the manufacturing industry, but has some obvious limitations, among them the difficulty of establishing in an objective and efficient manner the priorities for implementing the risk treatment. To overcome these limitations, the study proposes new factors that estimate the efficiency of risk treatment actions, based on a combination of Action Efficiency Number and Risk Priority Number. The results of the case study carried out at an automatic bulk cement loading plant show significant improvement compared to a classical approach based only on Risk Priority Number.


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References


Liu, H.C., Liu, L., Liu, N. Risk evaluation approaches in failure mode and effects analysis: A literature review. Expert Syst Appl, 40, 828-838, 2013, https://doi.org/10.1016/j.eswa.2012.08.010

Wang, Z.C., Ran, Y., Chen, Y. et al. Group risk assessment in failure mode and effects analysis using a hybrid probabilistic hesitant fuzzy linguistic MCDM method, Expert Syst Appl, 188, 116013, 2022, https://doi.org/10.1016 /j.eswa.2021.116013

Wu, Z., Liu, W., Nie, W. Literature review and prospect of the development and application of FMEA in manufacturing industry, Advan Manuf Tech, 112, 1409-1436, 2021, https://doi.org/10.1007/s00170-020-06425-0

Barends, D.M., Oldenhof, M.T., Vredenbregt, M.J. et al. Risk analysis of analytical validations by probabilistic modification of FMEA, Pharm Biom Analy, 64-65, 82-86, 2012,

https://doi:10.1016/j.jpba.2012.02.009

Carpitella, S., Certa, A., Izquierdo, J. et al. A combined multi-criteria approach to support FMECA analyses: A real-world case, Reliab Engin System Safety, 168, 394-402, 2018, https://doi.org/10.1016/j.ress.2017.09.017

Liu, H.C., You, J.X., You, X.Y. et al. A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method, Applied Soft Comput, 28, 579-588, 2015, http://dx.doi.org/10.1016/j.asoc.2014.11.036

Swati, N.K., Rajiv, B. Significance of risk priority number in machine condition monitoring, Materials Today, 50, 1930-1935, 2022, https://doi.org/10.1016/j.matpr.2021.09.317

De Aguiar, J., Scalice, R.K., Bond, D. Using fuzzy logic to reduce risk uncertainty in failure modes and effects analysis, Brazil Soc Mechan Scien Engin, 40, 516, 2018, https://doi.org/10. 1007/s40430-018-1437-5

Liu, H.C., Chen, X.Q., Duan, C.Y. et al. Failure mode and effect analysis using multi-criteria decision-making methods: A systematic literature review, Comput Indust Engin, 135, 881-897, 2019, https://doi.org/10.1016 /j.cie.2019.06.055

Huang, G., Xiao, L., Zhang, G. Improved failure mode and effect analysis with interval-valued intuitionistic fuzzy rough number theory, Engin Applic Artif Intellig, 95, 103856, 2020,

https://doi.org/10.1016/j.engappai.2020.103856

Kim, K.O., Zuo, M.J. General model for the risk priority number in failure mode and effects analysis, Reliab Engin Syst Safe, 169, 321-329, 2018, https://doi.org/10.1016/j.ress.2017.09.010

Dhalmahapatra, K., Garg, A., Singh, K. et al. An integrated RFUCOM – RTOPSIS approach for failure modes and effects analysis: A case of manufacturing industry, Reliab Engin Syst Safe, 221, 108333, 2022, https://doi.org/10.1016 /j.ress.2022.108333

Wang, Z., Ran, Y., Chen, Y. et al. Failure mode and effects analysis using extended matter-element model and AHP, Comput Indust Engin, 140, 106233, 2020, https://doi.org/10.1016 /j.cie.2019.106233

Fattahi, R., Khalilzadeh, M. Risk evaluation using a novel hybrid method based on FMEA, extended MULTIMOORA, and AHP methods under fuzzy environment, Safe Scie, 102, 290-300, 2018, https://doi.org/10.1016/j.ssci.2017.10.018

Ouédraogo, A., Groso, A., Meyer, T. Risk analysis in research environment – Part I: Modeling Lab Criticity Index using Improved Risk Priority Number, Safe Scie, 49, 778-784, 2011, https://doi:10.1016/j.ssci.2011.02.006

Bhattacharjee, P., Dey, V., Mandal, U.K. Risk assessment by failure mode and effects analysis (FMEA) using an interval number based logistic regression model, Safe Scie, 132, 104967, 2020, https://doi.org/10.1016/j.ssci.2020.104967

Liu, H.C., Fan, X.J., Li, P. et al. Evaluating the risk of failure modes with extended MULTIMOORA method under fuzzy environment, Engin Applic Artif Intellig, 34, 168-177, 2014, http://dx.doi.org/10.1016/j.engappai .2014.04.011

Lo, H.W., Liou, J.J.H., Huang, C.N. et al. A novel failure mode, and effect analysis model for machine tool risk analysis, Reliab Engin Syst Safe, 183, 173-183, 2019, https://doi.org/10.1016 /j.ress.2018.11.018

Certa, A., Enea, M., Galante, M.G. et al. ELECTRE TRI-based approach to the failure modes classification on the basis of risk parameters: An alternative to the risk priority number, Comput Indust Engin, 108, 100-110, 2017,

http://dx.doi.org/10.1016/j.cie.2017.04.018

Tang, Y., Zhou, D., Chan, F.T.S. AMWRPN: Ambiguity Measure Weighted Risk Priority Number Model for Failure Mode and Effects Analysis, IEEE Access, 2018, https://doi.org/10 .1109/ACCESS.2018.2836139

Zhao, Y., Fu, G., Wan, B. et al. An Improved Cost-based Method of Risk Priority Number, Progn Syst Health Manag Conf, 978-1-4577-1911-0/12, 2012

Zhao, Y., Fu, G., Wan, B. An Improved Risk Priority Number Method Based on AHP, IEEE Xplore, 978-1-4673-4711-2/13, 2013

Carmignani, G. An integrated structural framework to cost-based FMECA: The priority-cost FMECA, Reliab Engin Syst Safe, 94, 861-871, 2009, https://doi.org/doi:10.1016/j.ress .2008.09.009

Seiti, H., Fathi, M., Hafezalkotob, A., et al. Developing the modified R-numbers for risk-based fuzzy information fusion and its application to failure modes, effects, and system resilience analysis, ISA Transact, 133, 9-27, 2021, https://doi.org/10.1016/j.isatra.2020.01.015

Wu J., Tian J., Zhao T. Failure Mode Prioritization by Improved RPN Calculation Method, IEEE Xplore, 978-1-4799-2848-4/14, 2014


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