Abstract
Selection of an appropriate maintenance strategy remain one of the vital element for continuous manufacturing process that ensure minimum deterioration of equipment and maximum productivity with high quality. Considering criteria such as safety, quality, cost, failure, resources, operations and management and their sub criteria enable decision makers in selecting the best maintenance strategy for a particular equipment. This paper proposed application of analytical hierarchy process to select the appropriate maintenance strategy for a cement plant in Northern Nigeria. Corrective maintenance (CM), preventive maintenance and predictive maintenance (PdM) are considered as the maintenance strategies. According to the results of the study, a mix mode of the three maintenance strategies would be suitable for the kiln induction motor with a preference of PdM which has 41.76% followed by PM with 31.66% then CM with 26.68%. In the case of dust return pump, the mix mode nature is more evident with PdM being the most preferred with 35.57%, followed by PM with 32.86% and then CM with 31.57%.
References
Ab-Samat H, Kamaruddin S (2014) Opportunistic maintenance (OM) as a new advancement in maintenance approaches: A review. J Qual Maint Eng 20(2):98–121
Abdul Jawwad AK, AbuNaffa I (2022) Applying analytical hierarchy process (AHP) in selecting best maintenance strategies for newly established chemical fertilizers plants. J Qual Maint Eng 28(3):545–566
Aghaie M, Fazli S (2012) An improved MCDM method for maintenance approach selection: A case study of auto industry. Manag Sci Letters 2(1):137–146
Ahmad R, Kamaruddin S (2017) Structured maintenance engineering policy development based on a production machine process perspective. J Qual Maint Eng 23(2):180–194
Ahmed S, Hj. Hassan, M., & Taha, Z. (2005) TPM can go beyond maintenance: excerpt from a case implementation. J Qual Maint Eng 11(1):19–42
Al-Najjar B, Alsyouf I (2003) Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making. Int J Prod Econ 84(1):85–100
Alsyouf I (2004) Cost effective maintenance for competitve advantages. Växjö University Press
Arunraj N, Maiti J (2010) Risk-based maintenance policy selection using AHP and goal programming. Saf Sci 48(2):238–247
Azadeh A, Asadzadeh SM, Tanhaeean M (2017) A consensus-based AHP for improved assessment of resilience engineering in maintenance organizations. J Loss Prev Process Ind 47:151–160
Baidya R, Ghosh SK (2015) Model for a predictive maintenance system effectiveness using the analytical hierarchy process as analytical tool. IFAC-PapersOnLine 48(3):1463–1468
Basri EI, Razak IHA, Ab-Samat H, Kamaruddin S (2017) Preventive maintenance (PM) planning: a review. J Qual Maint Eng 23(2):114–143
Bevilacqua M, Braglia M (2000) The analytic hierarchy process applied to maintenance strategy selection. Reliab Eng Syst Saf 70(1):71–83
Carfora D, Di Gironimo G, Esposito G, Huhtala K, Määttä T, Mäkinen H, Mozzillo. (2016) Multicriteria selection in concept design of a divertor remote maintenance port in the EU DEMO reactor using an AHP participative approach. J Fus Eng Des. https://doi.org/10.1080/0144619042000202852
Cheng EW, Li H (2004) Contractor selection using the analytic network process. Construction Manag Eco 22(10):1021–1032
De Almeida A, Bohoris G (1995a) Decision theory in maintenance decision making. J Qual Maint Eng 1(1):39–45
Goepel KD (2019) Comparison of judgment scales of the analytical hierarchy process—A new approach. Intern J Inf Tech Decis Mak 18(02):445–463
Goossens AJ, Basten RJ (2015) Exploring maintenance policy selection using; an application for naval ships. Reliab Eng Sys Safety 142:31–41
Gopalakrishnan M, Skoogh A (2018) Machine criticality based maintenance prioritization: Identifying productivity improvement potential. Int J Prod Perform Manag. https://doi.org/10.1108/JMTM-06-2017-0109
Harker PT, Vargas LG (1987) The theory of ratio scale estimation: Saaty’s analytic hierarchy process. Manag Sci Lett 33(11):1383–1403
Hemmati N, Rahiminezhad Galankashi M, Imani DM, Farughi H (2018) Maintenance policy selection: a fuzzy-ANP approach. J Manuf Technol Manag 29(7):1253–1268
Hooi LW, Leong TY (2017) Total productive maintenance and manufacturing performance improvement. J Qual Maint Eng 23(1):2–21
Ighravwe DE, Ayoola Oke S (2017) Ranking maintenance strategies for sustainable maintenance plan in manufacturing systems using fuzzy axiomatic design principle and fuzzy-TOPSIS. J Manuf Technol Manag 28(7):961–992
Khoshafian, S., & Rostetter, C. J. I. o. T., Process of Everything, BPM Everywhere. (2015). Digital prescriptive maintenance. 1–20.
Koenig F, Found PA, Kumar M (2019) Innovative airport 4.0 condition-based maintenance system for baggage handling DCV systems. Internat J Productivity Perfor Manag. 68(3):561–577
Koussaimi MA, Bouami D, Elfezazi S (2016) Improvement maintenance implementation based on downtime analysis approach. J Qual Maint Eng 22(4):378–393
Kumar U, Galar D, Parida A, Stenström C, Berges L (2013) Maintenance performance metrics: a state-of-the-art review. J Qual Maint Eng 19(3):233–277
Mahadevan MPR (2010) Maintenance optimisation in a cement industry raw-mill system using genetic algorithm. Intern J Deci Sci Risk Manag 2(3–4):291–307
Mobley RK (2002) An introduction to predictive maintenance. Elsevier
Narayan V (2012) Business performance and maintenance: How are safety, quality, reliability, productivity and maintenance related? J Qual Maint Eng 18(2):183–195
Oni A, Fadare D, Adeboye L (2017) Thermoeconomic and environmental analyses of a dry process cement manufacturing in Nigeria. Energy 135:128–137
Phogat S, Gupta AK (2017) Identification of problems in maintenance operations and comparison with manufacturing operations: a review. J Qual Maint Eng 23(2):226–238
Phogat S, Gupta AK (2019) Expected maintenance waste reduction benefits after implementation of Just in Time (JIT) philosophy in maintenance (a statistical analysis). J Qual Maint Eng 25(1):25–40
Rijsdijk C, Tinga T (2016) Observing the effect of a policy: a maintenance case. J Qual Maint Eng 22(3):277–301
Saaty TL (1988) What is the analytic hierarchy process? Springer
Salo AA, Hämäläinen RP (1997) On the measurement of preferences in the analytic hierarchy process. J Multi-Criteria Decis Anal 6(6):309–319
Seiti H, Hafezalkotob A, Najafi SE, Khalaj M (2019) Developing a novel risk-based MCDM approach based on D numbers and fuzzy information axiom and its applications in preventive maintenance planning. Appl Soft Comput 82:105559
Shafiee M (2015) Maintenance strategy selection problem: an MCDM overview. J Qual Maint Eng. https://doi.org/10.1108/JQME-09-2013-0063
Triantaphyllou E, Kovalerchuk B, Mann L, Knapp GM (1997) Determining the most important criteria in maintenance decision making. J Qual Maint Eng 3(1):16–28
Wikstén, J., & Johansson, M. (2006). Maintenance and reliability with focus on aircraft maintenance and spares provisioning. In.
Wireman T (2005) Developing performance indicators for managing maintenance. Industrial Press Inc
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflicts of interest
The authors declare no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Mahmud, I., Ismail, I., Abdulkarim, A. et al. Selection of an appropriate maintenance strategy using analytical hierarchy process of cement plant. Life Cycle Reliab Saf Eng (2024). https://doi.org/10.1007/s41872-024-00249-7
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s41872-024-00249-7