Determining the effective factors in the priorities of maintenance strategies by combining factor analysis and ahp methods (Case study: East Azerbaijan Water and Sewerage Company)
Subject Areas : Industrial ManagementSomayeh Fakhimi Hossein Zad 1 , Yagoub Alavi Matin 2 , Suleiman Iranzadeh 3
1 - PhD Candidate in industrial management, majoring in industrial strategy, Islamic Azad University, Tabriz branch, Tabriz, Iran
2 - Assistant Professor, Department of Management, Islamic Azad University, Tabriz Branch, Tabriz, Iran
3 - Associate Professor, Department of Management, Islamic Azad University, Tabriz Branch, Tabriz, Iran
Keywords: Confirmatory Factor Analysis, Hierarchical Analysis, Maintenance Strategy,
Abstract :
Choosing the right strategy for maintenance and repairs in an equipment-oriented organization is very important and has a direct impact on productivity, profitability and cost. Maintenance and repairs play an important role in maintaining the reliability of production quality, reducing waste, reducing risk, increasing efficiency and increasing joint satisfaction, etc. Among the most important strategies of maintenance and repairs, we can mention the corrective and preventive maintenance and repairs based on condition and reliability, which according to the situation and environmental conditions, the application of each one has advantages and disadvantages. The purpose of this article is to provide a general method for choosing the best strategy for maintenance and repairs in equipment-oriented organizations such as water and sewage. It has been tried to use the method of confirmatory factor analysis to model the structural equations of least partial squares, the factors affecting the choice of maintenance and repairs strategy by expert questionnaire and SMSRT PLS software, which is a useful software for the modeling of structural equations of least partial squares, have been investigated and confirmed factors. In order to prioritize the four maintenance strategies of preventive, predictive, corrective and based on reliability by AHP technique, which process requires breaking the decision problem with several indicators into a hierarchy of levels, it should be used in EXPERT CHOISE software. The results of this analysis have determined the first priority of using the method of preventive maintenance and repairs to advance the goals of maintaining the company's critical equipment.
Aghai, M., Fazli, S, (2013) using the combined approach of DEMATEL and ANP to choose the appropriate strategy for maintenance and repairs (case study: self-rejection industry). Industrial Management Vision Magazine, 2 (6):89-107.
BS EN 13306:2017,Maintenance — Maintenance terminology,2017
Cheng, Y. H., & Tsao, H. L. (2010). Rolling stock maintenance strategy selection, spares parts’ estimation, and replacements’ interval calculation. International Journal of Production Economics, 128(1), 404-412.
Dutta, D., Doloi, H., Wright, D., Adeloju, S., Rahman, M., & Nakayama, K. (2007). Climate perturbation and coastal zone systems in Asia pacific region: Holistic approaches and tools for vulnerability assessment and sustainable management strategy. Final Report submitted to Asia-Pacific Network for Global Change Research, 52.
Ebrahimi, K, (2010), selection of maintenance strategy using fuzzy MADM approach, 6th Iran Maintenance Conference, Tehran, Maintenance and Repair Association, Summit Hall.
Fouladgar, M. M., Yazdani-Chamzini, A., Lashgari, A., Zavadskas, E. K., & Turskis, Z. (2012). Maintenance strategy selection using AHP and COPRAS under fuzzy environment. International journal of strategic property management, 16(1), 85-104.
Green, P. E., & Carroll, J. D. (1978). Analyzing multivariate data (Vol. 519). Hinsdale, IL: Dryden Press
Hemati, M., & Abbasi, S. (2016). Representing a Multi-Step Technique of the Common weights and TOPSIS in order to Ranking of Units. Modern research in decision making, 1(2), 193-215.
Lizot, M., Goffi, A. S., Thesari, S. S., Trojan, F., Afonso, P. S., & Ferreira, P. F. (2021). Multi-criteria methodology for selection of wastewater treatment systems with economic, social, technical and environmental aspects. Environment, Development and Sustainability, 23, 9827-9851.
Mabrouk, A. B., Chelbi, A., & Radhoui, M. (2016). Optimal imperfect maintenance strategy for leased equipment. International Journal of Production Economics, 178, 57-64.
Moulai, S, Esfahani, M, Jabri, S. (2013), Choosing the optimal maintenance and repair strategy using fuzzy AHP-TOPSIS technique, 8th National Conference on Maintenance and Repairs, Tehran, Maintenance and Repair Association
Qudsipour, H. (2014). Analytical Hierarchy Process (AHP). Publications of Amirkabir University of Technology, 4th edition. [In Persian]
Saaty, T. L. (1980). The analytic hierarchy process (AHP). The Journal of the Operational Research Society, 41(11), 1073-1076.
Saaty, T. L. (1990). An exposition of the AHP in reply to the paper “remarks on the analytic hierarchy process”. Management science, 36(3), 259-268.
Safari, S, Siahzadeh, S., Sadeghi, R (2009), selection of maintenance and repair policy using AHP and ideal planning, 6th National Conference on Maintenance and Repair, Tehran, Maintenance and Repair Association, Summit Hall.
Shahanghi, K, Barzegar, A. (2009), presentation of maintenance and repair decision making model with qualitative RBI approach, 6th National Maintenance and Repair Conference, Tehran, Maintenance and Repair Association, Summit Hall
Siti, H, Javadzad, Behnampour, M, Houshmand, A., Imani, M,& Din, M. (2013). Selecting a maintenance and repair strategy using FA. Revard Maintenance and Repair Research Quarterly, No. 3
Sperstad, I. B., McAuliffe, F. D., Kolstad, M., & Sjømark, S. (2016). Investigating key decision problems to optimize the operation and maintenance strategy of offshore wind farms. Energy Procedia, 94, 261-268.
Thompson, B. (2004). Exploratory and confirmatory factor analysis: Understanding concepts and applications. Washington, DC, 10694(000), 3.
Triantaphyllou, E., Kovalerchuk, B., Mann, L., & Knapp, G. M. (1997). Determining the most important criteria in maintenance decision making. Journal of Quality in Maintenance Engineering, 3(1), 16-28.
Verbert, K., De Schutter, B., & Babuška, R. (2017). Timely condition-based maintenance planning for multi-component systems. Reliability Engineering & System Safety, 159, 310-321.
Zaim, S., Turkyılmaz, A., Acar, M. F., Al‐Turki, U., & Demirel, O. F. (2012). Maintenance strategy selection using AHP and ANP algorithms: a case study. Journal of quality in maintenance engineering, 18(1), 16-29.