General overview of maintenance strategies – concepts and approaches

• Autorzy: Gackowiec Paulina

Identyfikatory

DOI

10.2478/mape-2019-0013

• Języki publikacji: EN

Abstrakty

EN

This paper presents a literature review of maintenance strategies formulation. The purpose of this article is to provide an overview of different published concepts of maintenance strategies, distinguish the most common approaches to this issue and find a general tendency in strategies classification. Furthermore, the review is aimed to point out the importance of unscheduled downtime which might occur during equipment runtime in a production plant. The paper classifies the existing maintenance concepts and emphasizes key assumptions of the analysed strategies. The literature study and carried out analysis could be useful to find appropriate reliability assurance methods. In addition, defined maintenance approaches might help in decision making process in a company. The paper is a comprehensive overview of discussed strategies, which indicates the most frequent maintenance models in the analysed papers.

Słowa kluczowe

EN

maintenance; maintenance strategies; maintenance management; predictive maintenance

• Wydawca: STE GROUP ; De Gruyter
• Czasopismo: Multidisciplinary Aspects of Production Engineering
• Rocznik: 2019
• Tom: Vol. 2, Iss. 1
• Strony: 126--139
• Opis fizyczny: Bibliogr. 39 poz., fig., tab.

Twórcy

autor

Gackowiec Paulina

• AGH University of Science and Technology, Poland

Bibliografia

• 1. Al-Najjar, B. & Alsyouf, I. (2003). Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making. International Journal of Production Economics, 84(1), pp. 85-100. doi: 10.1016/S0925-5273(02)00380-8.
• 2. Arslankaya, S. & Atay, H. (2015). Maintenance Management and Lean Manufacturing Practices in a Firm Which Produces Dairy Products. Procedia - Social and Behavioral Sciences, Elsevier B.V., 207, pp. 214-224. doi: 10.1016/j.sbspro.2015.10.090.
• 3. Asuquo, M.P. et al. (2019). Application of a multiple attribute group decision making (MAGDM) model for selecting appropriate maintenance strategy for marine and offshore machinery operations. Ocean Engineering, Elsevier Ltd, 179 (February), pp. 246-260. doi: 10.1016/j.oceaneng.2019.02.065.
• 4. Bashiri, M., Badri, H. & Hejazi, T.H. (2011). Selecting optimum maintenance strategy by fuzzy interactive linear assignment method. Applied Mathematical Modelling, Elsevier Inc., 35(1), pp. 152-164. doi: 10.1016/j.apm.2010.05.014.
• 5. Bevilacqua, M. & Braglia, M. (2000). Analytic hierarchy process applied to maintenance strategy selection. Reliability Engineering and System Safety, 70(1), pp. 71-83. doi: 10.1016/S0951-8320(00)00047-8.
• 6. Borissova, D., Mustakerov, I. & Doukovska, L. (2012). Predictive Maintenance Sensors Placement by Combinatorial Optimization. International Journal of Electronics and Telecommunications, 58(2), pp. 153-158. doi: 10.2478/v10177-012-0022-6.
• 7. Cherkaoui, H., Huynh, K.T. & Grall, A. (2016). On the Assessment of Performance and Robustness of Condition-Based Maintenance Strategies. IFAC-PapersOnLine, Elsevier B.V., 49(12), pp. 809-814. doi: 10.1016/j.ifacol.2016.07.874.
• 8. Eti, M.C., Ogaji, S.O.T. & Probert, S.D. (2006). Strategic maintenance-management in Nigerian industries. Applied Energy, 83(3), pp. 211-227. doi: 10.1016/j.apenergy.2005.02.004.
• 9. Horner, R.M.W., Haram, M.A. El & Munns, A.K. (2002). Building maintenance strategy: a new management. Journal of Quality in Maintenance Engineering, 3(4), pp. 273-280.
• 10. Ierace, S. and Cavalieri, S. (2010). Maintenance Strategy Selection: a comparison between Fuzzy Logic and Analytic Hierarchy Process. IFAC Proceedings Volumes, IFAC. doi: 10.3182/20081205-2-cl-4009.00041.
• 11. Ignat, S. (2013). Power Plants Maintenance Optimization Based on CBM Techniques. IFAC Proceedings Volumes, IFAC. doi: 10.3182/20130522-3-RO-4035.00031.
• 12. Ioannis, D. & Nikitas, N. (2013). Application of Analytic Hierarchy Process & TOPSIS methodology on ships’ maintenance strategies. Journal of Polish Safety and Reliability Association Summer Safety and Reliability Seminars, 4(1), pp. 21-27.
• 13. Lee, H.H.Y. & Scott, D. (2009). Overview of maintenance strategy, acceptable maintenance standard and resources from a building maintenance operation perspective. Journal of Building Appraisal, 4(4), pp. 269-278. doi: 10.1057/jba.2008.46.
• 14. Legát, V., Mošna, F., Aleš, Z. & Jurča, V. (2017). Preventive maintenance models – higher operational reliability. Eksploatacja i Niezawodnosc – Maintenance and Reliability, 19(1), pp. 134-141.
• 15. Legutko, S. (2009). Development trends in machines operation maintenance. Eksploatacja i Niezawodność – Maintenance and Reliability, 2(2), pp. 9.
• 16. Mikler, J. (2011). Life Cycle Costing Used for Justifying Transition to Predictive Maintenance Strategies. Journal of Machine Engineering, 11(4), pp. 49-58.
• 17. Mostafa, S., Dumrak, J. & Soltan, H. (2015). Lean Maintenance Roadmap. Procedia Manufacturing, Elsevier B.V., 2 (February), pp. 434-444. doi: 10.1016/j.promfg.2015.07.076.
• 18. Murthy, D.N.P., Atrens, A. & Eccleston, J.A. (2002). Strategic maintenance management. Journal of Quality in Maintenance Engineering, 8(4), pp. 287-305. doi: 10.1108/13552510210448504.
• 19. Ni, X. et al. (2016). Nonlinear degradation modeling and maintenance policy for a two-stage degradation system based on cumulative damage model. Eksploatacja i Niezawodnosc – Maintenance and Reliability, 18(2), pp. 171-180. doi: 10.17531/ein.2016.2.3.
• 20. Okoh, C., Roy, R. & Mehnen, J. (2017). Predictive Maintenance Modelling for Through-Life Engineering Services. Procedia CIRP. The Author(s), 59(TESConf 2016), pp. 196-201. doi: 10.1016/j.procir.2016.09.033.
• 21. Ollila, A. & Malmipuro, M. (1999). Maintenance has a role in quality. The TQM Magazine, 11(1), pp. 17-21.
• 22. Özcan, E.C., Ünlüsoy, S. & Eren, T. (2017). A combined goal programming – AHP approach supported with TOPSIS for maintenance strategy selection in hydroelectric power plants. Renewable and Sustainable Energy Reviews, Elsevier Ltd, 78(May 2016), pp. 1410-1423. doi: 10.1016/j.rser.2017.04.039.
• 23. Pająk, M. & Woropay, M. (2009). Maintenance Strategy by Controlled Consumption of Operational Potential. Journal of KONES Powertrain and Transport, 16(4), pp. 365-374.
• 24. Rani, N., Baharum, M., Akbar, A. & Nawawi, A. (2015). Perception of Maintenance Management Strategy on Healthcare Facilities. Procedia – Social and Behavioral Sciences, V., 170, pp. 272-281. doi: 10.1016/j.sbspro.2015.01.037.
• 25. Sambrekar, A.A., Vishnu, C.R. & Sridharan, R. (2018). Maintenance strategies for realizing Industry 4.0: An overview. Emerging Trends in Engineering, Science and Technology for Society, Energy and Environment - Vanchipura & Jiji, pp. 341-348.
• 26. Shafiee, M. & Sørensen, J.D. (2017). Maintenance optimization and inspection planning of wind energy assets: Models, methods and strategies. Reliability Engineering and System Safety, pp. 1-19. doi: 10.1016/j.ress.2017.10.025.
• 27. Shafiee, M. (2015). Maintenance strategy selection problem: An MCDM overview. Journal of Quality in Maintenance Engineering, 21(4), pp. 378-402. doi: 10.1108/JQME-09-2013-0063.
• 28. Sharma, R.K., Kumar, D. & Kumar, P. (2005). FLM to select suitable maintenance strategy in process industries using MISO model. Journal of Quality in Maintenance Engineering, 11(4), pp. 359-374. doi: 10.1108/13552510510626981.
• 29. Shin, J.H. and Jun, H.B. (2015). On condition based maintenance policy. Journal of Computational Design and Engineering, 2(2), pp. 119-127. doi: 10.1016/j.jcde.2014.12.006.
• 30. Srivastava, P., Khanduja, D. & Agrawal, V.P. (2017). A framework of fuzzy integrated MADM and GMA for maintenance strategy selection based on agile enabler attributes. Mathematics-in-Industry Case Studies, 8(1). doi: 10.1186/s40929-017-0014-y.
• 31. Tan, Z. et al. (2011). An evaluation of maintenance strategy using risk based inspection. Safety Science, 49(6), pp. 852-860. doi: 10.1016/j.ssci.2011.01.015.
• 32. Teixeira, F. & Junior, J.L. (2016). Methodology for assessing the probabilistic condition of an asset based in concepts of structural reliability “PCBM – Probabilistic Condition Based Maintenance”. Procedia Structural Integrity, 1, pp. 181-188. doi: 10.1016/j.prostr.2016.02.025.
• 33. Tu, J. et al. (2015). Maintenance strategy decision for avionics system based on cognitive uncertainty information processing. Eksploatacja i Niezawodnosc – Maintenance and Reliability, 17(2), pp. 297-305.
• 34. Velmurugan, R.S. & Dhingra, T. (2015). Maintenance strategy selection and its impact in maintenance function: A conceptual framework. International Journal of Operations and Production Management, 35(12), pp. 1622-1661. doi: 10.1108/IJOPM-01-2014-0028.
• 35. Vilarinho, S., Lopes, I. & Oliveira, J.A. (2017). Preventive Maintenance Decisions through Maintenance Optimization Models: A Case Study. Procedia Manufacturing, 11(June), pp. 1170-1177. doi: 10.1016/j.promfg.2017.07.241.
• 36. Vishnu, C.R. & Regikumar, V. (2016). Reliability Based Maintenance Strategy Selection in Process Plants: A Case Study. Procedia Technology, pp. 1080-1087. doi: 10.1016/j.protcy.2016.08.211.
• 37. Wang, L., Chu, J. & Wu, J. (2007). Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process. International Journal of Production Economics, 107(1), pp. 151-163. doi: 10.1016/j.ijpe.2006.08.005.
• 38. Zeng, S.W. (1997). Discussion on maintenance strategy, policy and corresponding maintenance systems in manufacturing. Reliability Engineering and System Safety, 55(2), pp. 151-162. doi: 10.1016/S0951-8320(96)00004-X.
• 39. Zhang, C. et al. (2019). Opportunistic maintenance strategy for wind turbines considering weather conditions and spare parts inventory management. Renewable Energy, 133, pp. 703-711. doi: 10.1016/j.renene.2018.10.076.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).