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Research Articles

Modelling and application of joint maintenance grouping and workload smoothing for an automotive plant

, , ORCID Icon, ORCID Icon & ORCID Icon
Pages 2832-2852 | Received 18 Jul 2022, Accepted 21 Jun 2023, Published online: 16 Jul 2023

References

  • Ab-Samat, H., and S. Kamaruddin. 2014. “Opportunistic Maintenance (OM) As a New Advancement in Maintenance Approaches: A Review.” Journal of Quality in Maintenance Engineering 20 (2): 98–121. https://doi.org/10.1108/JQME-04-2013-0018.
  • Akl, A. M., S. El Sawah, R. K. Chakrabortty, and H. H. Turan. 2022. “A Joint Optimization of Strategic Workforce Planning and Preventive Maintenance Scheduling: A Simulation–Optimization Approach.” Reliability Engineering and System Safety 219:Article ID 108175. https://doi.org/10.1016/j.ress.2021.108175.
  • Alimian, M., V. Ghezavati, and R. Tavakkoli-Moghaddam. 2020. “New Integration of Preventive Maintenance and Production Planning With Cell Formation and Group Scheduling for Dynamic Cellular Manufacturing Systems.” Journal of Manufacturing Systems 56:341–358. https://doi.org/10.1016/j.jmsy.2020.06.011.
  • Bouvard, K., S. Artus, C. Bérenguer, and V. Cocquempot. 2011. “Condition-Based Dynamic Maintenance Operations Planning and Grouping: Application to Commercial Heavy Vehicles.” Reliability Engineering and System Safety 96 (6): 601–610. https://doi.org/10.1016/j.ress.2010.11.009.
  • Bressi, S., J. Santos, and M. Losa. 2021. “Optimization of Maintenance Strategies for Railway Track-Bed Considering Probabilistic Degradation Models and Different Reliability Levels.” Reliability Engineering and System Safety 207:Article ID 107359. https://doi.org/10.1016/j.ress.2020.107359.
  • Chalabi, N., M. Dahane, B. Beldjilali, and A. Neki. 2016. “Optimisation of Preventive Maintenance Grouping Strategy for Multi-Component Series Systems: Particle Swarm Based Approach.” Computers and Industrial Engineering 102:440–451. https://doi.org/10.1016/j.cie.2016.04.018.
  • Chang, F., G. Zhou, C. Zhang, Z. Xiao, and C. Wang. 2019. “A Service-Oriented Dynamic Multi-level Maintenance Grouping Strategy Based on Prediction Information of Multi-Component Systems.” Journal of Manufacturing Systems 53:49–61. https://doi.org/10.1016/j.jmsy.2019.09.005.
  • Chen, G., W. He, L. C. Leung, T. Lan, and Y. Han. 2017. “Assigning Licenced Technicians to Maintenance Tasks At Aircraft Maintenance Base: A Bi-Objective Approach and a Chinese Airline Application.” International Journal of Production Research 55 (19): 5550–5563. https://doi.org/10.1080/00207543.2017.1296204.
  • Cohen, A. C. 1965. “Maximum Likelihood Estimation in the Weibull Distribution Based on Complete and on Censored Samples.” Technometrics 7 (4): 579–588. https://doi.org/10.1080/00401706.1965.10490300.
  • de Jonge, B., and P. A. Scarf. 2020. “A Review on Maintenance Optimization.” European Journal of Operational Research 285 (3): 805–824. https://doi.org/10.1016/j.ejor.2019.09.047.
  • Dekker, R. 1996. “Applications of Maintenance Optimization Models: A Review and Analysis.” Reliability Engineering and System Safety 51 (3): 229–240. https://doi.org/10.1016/0951-8320(95)00076-3.
  • Dekker, R., H. Frenk, and R. E. Wildeman. 1996. “How to Determine Maintenance Frequencies for Multi-Component Systems? A General Approach.” In Reliability and Maintenance of Complex Systems, 239–280. New York: Springer-Verlag Berlin Heidelberg.
  • Ding, S.-H., and S. Kamaruddin. 2015. “Maintenance Policy Optimization–Literature Review and Directions.” The International Journal of Advanced Manufacturing Technology 76 (5–8): 1263–1283. https://doi.org/10.1007/s00170-014-6341-2.
  • Do, P., A. Barros, C. Bérenguer, K. Bouvard, and F. Brissaud. 2013. “Dynamic Grouping Maintenance With Time Limited Opportunities.” Reliability Engineering and System Safety 120:51–59. https://doi.org/10.1016/j.ress.2013.03.016.
  • Do, P., H. C. Vu, A. Barros, and C. Bérenguer. 2015. “Maintenance Grouping for Multi-Component Systems With Availability Constraints and Limited Maintenance Teams.” Reliability Engineering and System Safety 142:56–67. https://doi.org/10.1016/j.ress.2015.04.022.
  • Ertogral, K., and F. S. Öztürk. 2019. “An Integrated Production Scheduling and Workforce Capacity Planning Model for the Maintenance and Repair Operations in Airline Industry.” Computers and Industrial Engineering 127:832–840. https://doi.org/10.1016/j.cie.2018.11.022.
  • Fan, D., A. Zhang, Q. Feng, B. Cai, Y. Liu, and Y. Ren. 2021. “Group Maintenance Optimization of Subsea Xmas Trees With Stochastic Dependency.” Reliability Engineering and System Safety209:Article ID 107450. https://doi.org/10.1016/j.ress.2021.107450.
  • Goyal, S., and M. Kusy. 1985. “Determining Economic Maintenance Frequency for a Family of Machines.” Journal of the Operational Research Society 36 (12): 1125–1128. https://doi.org/10.1057/jors.1985.202.
  • Halmos, P. R. 2017. Naive Set Theory. Mineola, NY: Courier Dover Publications.
  • Hameed, Z., and J. Vatn. 2012. “Role of Grouping in the Development of An Overall Maintenance Optimization Framework for Offshore Wind Turbines.” Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 226 (6): 584–601. https://doi.org/10.1177/1748006X12464616.
  • Hanini, M., S. Khebbache, L. Bouillaut, and M. Hadji. 2022. “Dynamic and Adaptive Grouping Maintenance Strategies: New Scalable Optimization Algorithms.” Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 236 (5): 647–660. https://doi.org/10.1177/1748006X211049924.
  • Hashemian, N., C. Diallo, and B. Vizvári. 2014. “Makespan Minimization for Parallel Machines Scheduling With Multiple Availability Constraints.” Annals of Operations Research 213 (1): 173–186. https://doi.org/10.1007/s10479-012-1059-8.
  • Jaigirdar, S. M., S. Das, A. R. Chowdhury, S. Ahmed, and R. K. Chakrabortty. 2022. “Multi-Objective Multi-Echelon Distribution Planning for Perishable Goods Supply Chain: A Case Study.” International Journal of Systems Science: Operations and Logistics 10 (1): 1–19. https://doi.org/10.1080/23302674.2021.2020367.
  • Khatab, A., E. H. Aghezzaf, C. Diallo, and I. Djelloul. 2017. “Selective Maintenance Optimisation for Series-Parallel Systems Alternating Missions and Scheduled Breaks With Stochastic Durations.” International Journal of Production Research 55 (10): 3008–3024. https://doi.org/10.1080/00207543.2017.1290295.
  • Kim, M. J., and V. Makis. 2009. “Optimal Maintenance Policy for a Multi-State Deteriorating System With Two Types of Failures Under General Repair.” Computers and Industrial Engineering 57 (1): 298–303. https://doi.org/10.1016/j.cie.2008.11.023.
  • Kim, I. Y., and O. De Weck. 2006. “Adaptive Weighted Sum Method for Multiobjective Optimization: A New Method for Pareto Front Generation.” Structural and Multidisciplinary Optimization 31 (2): 105–116. https://doi.org/10.1007/s00158-005-0557-6.
  • Konak, A., D. W. Coit, and A. E. Smith. 2006. “Multi-Objective Optimization Using Genetic Algorithms: A Tutorial.” Reliability Engineering and System Safety 91 (9): 992–1007. https://doi.org/10.1016/j.ress.2005.11.018.
  • Koochaki, J., J. A. Bokhorst, H. Wortmann, and W. Klingenberg. 2013. “The Influence of Condition-Based Maintenance on Workforce Planning and Maintenance Scheduling.” International Journal of Production Research 51 (8): 2339–2351. https://doi.org/10.1080/00207543.2012.737944.
  • Li, H., E. Deloux, and L. Dieulle. 2016. “A Condition-Based Maintenance Policy for Multi-Component Systems With Lévy Copulas Dependence.” Reliability Engineering and System Safety 149:44–55. https://doi.org/10.1016/j.ress.2015.12.011.
  • Li, F., Y. Sun, L. Ma, and J. Mathew. 2011. “A Grouping Model for Distributed Pipeline Assets Maintenance Decision.” In Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2011 International Conference on, 601–606. IEEE.
  • Liang, Z., and A. K. Parlikad. 2020. “Predictive Group Maintenance for Multi-System Multi-Component Networks.” Reliability Engineering and System Safety 195:Article ID 106704. https://doi.org/10.1016/j.ress.2019.106704.
  • Lu, Y., L. Sun, J. Kang, H. Sun, and X. Zhang. 2017. “Opportunistic Maintenance Optimization for Offshore Wind Turbine Electrical and Electronic System Based on Rolling Horizon Approach.” Journal of Renewable and Sustainable Energy 9 (3): Article ID 033307. https://doi.org/10.1063/1.4989640.
  • Luiz Junho Pereira, J., G. Antônio Oliver, M. Brendon Francisco, S. Simões Cunha Jr, and G. Ferreira Gomes. 2022. “Multi-objective Lichtenberg Algorithm: A Hybrid Physics-based Meta-heuristic for Solving Engineering Problems.” Expert Systems with Applications 187:Article ID 115939. https://doi.org/10.1016/j.eswa.2021.115939.
  • Marler, R. T., and J. S. Arora. 2010. “The Weighted Sum Method for Multi-Objective Optimization: New Insights.” Structural and Multidisciplinary Optimization 41 (6): 853–862. https://doi.org/10.1007/s00158-009-0460-7.
  • Nakagawa, T., and M. Kowada. 1983. “Analysis of a System With Minimal Repair and Its Application to Replacement Policy.” European Journal of Operational Research 12 (2): 176–182. https://doi.org/10.1016/0377-2217(83)90221-7.
  • Nakagawa, T., and S. Mizutani. 2009. “A Summary of Maintenance Policies for a Finite Interval.” Reliability Engineering & System Safety 94 (1): 89–96. https://doi.org/10.1016/j.ress.2007.04.004.
  • Nguyen, H. S. H., P. Do, H.-C. Vu, and B. Iung. 2019. “Dynamic Maintenance Grouping and Routing for Geographically Dispersed Production Systems.” Reliability Engineering and System Safety 185:392–404. https://doi.org/10.1016/j.ress.2018.12.031.
  • Nicolai, R. P., and R. Dekker. 2008. “Optimal Maintenance of Multi-Component Systems: A Review.” In Complex System Maintenance Handbook, 263–286. London: Springer-Verlag.
  • Noortwijk, J. v., R. Dekker, R. M. Cooke, and T. Mazucchi. 1992. “Expert Judgement in Maintenance Optimization.” IEEE Transactions on Reliability, 427–432. https://doi.org/10.1109/24.159813.
  • Nowakowski, T., and S. Werbińka. 2009. “On Problems of Multicomponent System Maintenance Modelling.” International Journal of Automation and Computing 6 (4): 364–378. https://doi.org/10.1007/s11633-009-0364-4.
  • Okoh, P. 2015. “Maintenance Grouping Optimization for the Management of Risk in Offshore Riser System.” Process Safety and Environmental Protection98:33–39. https://doi.org/10.1016/j.psep.2015.06.007.
  • Pargar, F., O. Kauppila, and J. Kujala. 2017. “Integrated Scheduling of Preventive Maintenance and Renewal Projects for Multi-Unit Systems With Grouping and Balancing.” Computers and Industrial Engineering 110:43–58. https://doi.org/10.1016/j.cie.2017.05.024.
  • Rebaiaia, M. L., and D. Ait-kadi. 2021. “Maintenance Policies With Minimal Repair and Replacement on Failures: Analysis and Comparison.” International Journal of Production Research 59 (23): 6995–7017. https://doi.org/10.1080/00207543.2020.1832275.
  • Safaei, N., D. Banjevic, and A. K. Jardine. 2011. “Workforce-Constrained Maintenance Scheduling for Military Aircraft Fleet: A Case Study.” Annals of Operations Research 186 (1): 295–316. https://doi.org/10.1007/s10479-011-0885-4.
  • Sharma, R., H. Kodamana, and M. Ramteke. 2022. “Multi-Objective Dynamic Optimization of Hybrid Renewable Energy Systems.” Chemical Engineering and Processing-Process Intensification 170:Article ID 108663. https://doi.org/10.1016/j.cep.2021.108663.
  • Sharma, A., G. Yadava, and S. Deshmukh. 2011. “A Literature Review and Future Perspectives on Maintenance Optimization.” Journal of Quality in Maintenance Engineering 17 (1): 5–25. https://doi.org/10.1108/13552511111116222.
  • Sheikhalishahi, M., A. Azadeh, and L. Pintelon. 2017. “Dynamic Maintenance Planning Approach by Considering Grouping Strategy and Human Factors.” Process Safety and Environmental Protection107:289–298. https://doi.org/10.1016/j.psep.2017.02.015.
  • Tavakoli Kafiabad, S., M. K. Zanjani, and M. Nourelfath. 2022. “Workforce Training and Operations Planning for Maintenance Centres Under Demand Uncertainty.” International Journal of Production Research 60 (5): 1587–1599. https://doi.org/10.1080/00207543.2020.1866781.
  • Thoman, D. R., L. J. Bain, and C. E. Antle. 1969. “Inferences on the Parameters of the Weibull Distribution.” Technometrics 11 (3): 445–460. https://doi.org/10.1080/00401706.1969.10490706.
  • Thomas,  E.,  E. Levrat, and B. Iung. 2008. “Overview on Opportunistic Maintenance.” IFAC Proceedings Volumes 41 (3): 245–250. https://doi.org/10.3182/20081205-2-CL-4009.00044.
  • Turan, H. H., F. Kosanoglu, and M. Atmis. 2021. “A Multi-Skilled Workforce Optimisation in Maintenance Logistics Networks by Multi-Thread Simulated Annealing Algorithms.” International Journal of Production Research 59 (9): 2624–2646. https://doi.org/10.1080/00207543.2020.1735665.
  • van Dijkhuizen, G. 2000. “Maintenance Grouping in Multi-Step Multi-Component Production Systems.” In Maintenance, Modeling and Optimization, 283–306. New York: Springer Science+Business Media.
  • Van Horenbeek, A., and L. Pintelon. 2013. “A Dynamic Predictive Maintenance Policy for Complex Multi-Component Systems.” Reliability Engineering and System Safety 120:39–50. https://doi.org/10.1016/j.ress.2013.02.029.
  • Van Tung, T., and B.-S. Yang. 2009. “Machine Fault Diagnosis and Prognosis: The State of the Art.” International Journal of Fluid Machinery and Systems 2 (1): 61–71. https://doi.org/10.5293/IJFMS.2009.2.1.061.
  • Vatn, J., P. Hokstad, and L. Bodsberg. 1996. “An Overall Model for Maintenance Optimization.” Reliability Engineering and System Safety 51 (3): 241–257. https://doi.org/10.1016/0951-8320(95)00055-0.
  • Viveros, P., R. Mena, E. Zio, L. Miqueles, and F. Kristjanpoller. 2021. “Integrated Planning Framework for Preventive Maintenance Grouping: A Case Study for a Conveyor System in the Chilean Mining Industry.” Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, Article ID 1748006X211053758. https://doi.org/10.1177/1748006X211053758.
  • Vu, H. C., P. Do, and A. Barros. 2015. “A Stationary Grouping Maintenance Strategy Using Mean Residual Life and the Birnbaum Importance Measure for Complex Structures.” IEEE Transactions on Reliability 65 (1): 217–234. https://doi.org/10.1109/TR.2015.2455498.
  • Vu, H. C., P. Do, and A. Barros. 2018. “A Study on the Impacts of Maintenance Duration on Dynamic Grouping Modeling and Optimization of Multicomponent Systems.” IEEE Transactions on Reliability 67 (3): 1377–1392. https://doi.org/10.1109/TR.2018.2827926.
  • Vu, H. C., P. Do, A. Barros, and C. Bérenguer. 2014a. “Maintenance Grouping Strategy for Multi-Component Systems With Dynamic Contexts.” Reliability Engineering and System Safety132:233–249. https://doi.org/10.1016/j.ress.2014.08.002.
  • Vu, H. C., P. Do, A. Barros, and C. Bérenguer. 2014b. “Maintenance Planning and Dynamic Grouping for Multi-Component Systems With Positive and Negative Economic Dependencies.” IMA Journal of Management Mathematics 26 (2): 145–170. https://doi.org/10.1093/imaman/dpu007.
  • Vu, H. C., P. Do, M. Fouladirad, and A. Grall. 2020. “Dynamic Opportunistic Maintenance Planning for Multi-Component Redundant Systems With Various Types of Opportunities.” Reliability Engineering and System Safety 198:Article ID 106854. https://doi.org/10.1016/j.ress.2020.106854.
  • Wang, S., and M. Liu. 2014. “Two-Stage Hybrid Flow Shop Scheduling with Preventive Maintenance Using Multi-Objective Tabu Search Method.” International Journal of Production Research 52 (5): 1495–1508. https://doi.org/10.1080/00207543.2013.847983.
  • Wildeman, R. E., R. Dekker, and A. Smit. 1997. “A Dynamic Policy for Grouping Maintenance Activities.” European Journal of Operational Research99 (3): 530–551. https://doi.org/10.1016/S0377-2217(97)00319-6.
  • Wu, J., T. S. A. Ng, M. Xie, and H.-Z. Huang. 2010. “Analysis of Maintenance Policies for Finite Life-cycle Multi-state Systems.” Computers and Industrial Engineering 59 (4): 638–646. https://doi.org/10.1016/j.cie.2010.07.013.
  • Zhou, A., B.-Y. Qu, H. Li, S.-Z. Zhao, P. N. Suganthan, and Q. Zhang. 2011. “Multiobjective Evolutionary Algorithms: A Survey of the State of the Art.” Swarm and Evolutionary Computation 1 (1): 32–49. https://doi.org/10.1016/j.swevo.2011.03.001.

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