Selection Criteria for Evaluating Predictive Maintenance Techniques for Rotating Machinery using the Analytic Hierarchical Process (AHP)
Received: 25 December 2023 | Revised: 9 January 2024 | Accepted: 11 January 2024 | Online: 21 January 2024
Corresponding author: Wirunpuch Prommachan
Abstract
A primary industry objective is to ensure that machinery remains operational through effective management. Predictive maintenance plays a significant role in monitoring the working condition of machinery. The goal of this study is to establish the criteria for evaluating predictive maintenance techniques for rotating machines utilizing the Analytic Hierarchy Process (AHP). To achieve this target, survey data were collected from questionnaires and interviews with 20 experts, which had at least 20 years of professional experience. The Analytic Hierarchy Process (AHP) was utilized for criteria selection. The findings disclosed that predictive maintenance factors for rotating machines were ranked as follows: vibration analysis (45.5%), acoustic analysis (22.7%), oil analysis (22.4%), infrared thermography (5.8%), and wear particle analysis (3.6%). The Consistency Ratio (CR) was determined to be less than 10%, indicating a high level of consensus among the experts. Given the elevated importance attributed to vibration analysis, it can be concluded that the latter is the primary criterion for selecting predictive maintenance techniques for rotating machines.
Keywords:
criteria, maintenance technique, rotating machinery, Analytical Hierarchy Process (AHP)Downloads
References
S. Selcuk, "Predictive maintenance, its implementation and latest trends," Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 231, no. 9, pp. 1670–1679, Jul. 2017.
I. Lopes, M. Figueiredo, and V. Sa, "Criticality Evaluation To Support Maintenance Management of Manufacturing Systems," International Journal of Industrial Engineering and Management, vol. 11, no. 1, pp. 3–18, Mar. 2020.
E. C. Ozcan, S. Unlusoy, and T. Eren, "A combined goal programming – AHP approach supported with TOPSIS for maintenance strategy selection in hydroelectric power plants," Renewable and Sustainable Energy Reviews, vol. 78, pp. 1410–1423, Oct. 2017.
A. Daghouri, K. Mansouri, and M. Qbadou, "Enhanced Model For Evaluating Information System Success: Determining Critical Criteria," Engineering, Technology & Applied Science Research, vol. 8, no. 4, pp. 3194–3198, Aug. 2018.
N. Eursiriwan, V. Panichgarn, D. Rangsan, and U. Warichwattana, "The Selection Criteria of Suitable Location for Weigh Station Establishment Using the Analytical Hierarchy Process (AHP)," Kasem Bundit Engineering Journal, vol. 7, no. 1, pp. 17–33, 2017.
A. J. M. Goossens and R. J. I. Basten, "Exploring maintenance policy selection using the Analytic Hierarchy Process; An application for naval ships," Reliability Engineering & System Safety, vol. 142, pp. 31–41, Oct. 2015.
C. Ponsiglione, M. E. Nenni, G. Castellano, and A. Molisso, "An Analytic Hierarchy Process Based Approach for Indirect Labour Cost Allocation," International Journal of Industrial Engineering and Management, vol. 9, no. 1, pp. 43–51, Mar. 2018.
R. Baidya and S. K. Ghosh, "Model for a Predictive Maintenance System Effectiveness Using the Analytical Hierarchy Process as Analytical Tool," IFAC-PapersOnLine, vol. 48, no. 3, pp. 1463–1468, Jan. 2015.
R. Ohta, V. A. P. Salomon, and M. B. Silva, "Selection of industrial maintenance strategy: Classical AHP and fuzzy AHP applications," International Journal of the Analytic Hierarchy Process, vol. 10, no. 2, pp. 254–265, Jan. 2018.
S. Alshehri, "Multicriteria Decision Making (MCDM) Methods for Ranking Estimation Techniques in Extreme Programming," Engineering, Technology & Applied Science Research, vol. 8, no. 3, pp. 3073–3078, Jun. 2018.
A. Anand, R. Kant, D. P. Patel, and M. D. Singh, "Knowledge Management Implementation: A Predictive Model Using an Analytical Hierarchical Process," Journal of the Knowledge Economy, vol. 6, no. 1, pp. 48–71, Mar. 2015.
L. A. Hadidi and M. A. Khater, "Loss prevention in turnaround maintenance projects by selecting contractors based on safety criteria using the analytic hierarchy process (AHP)," Journal of Loss Prevention in the Process Industries, vol. 34, pp. 115–126, Mar. 2015.
M. Balubaid and R. Alamoudi, "Application of the Analytical Hierarchy Process (AHP) to Multi-Criteria Analysis for Contractor Selection," American Journal of Industrial and Business Management, vol. 5, pp. 581–589, 2015.
I. Masudin, R. W. Wardana, M. W. T. Wijayanti, and D. P. Restuputri, "Use Ability Website Evalution for Fresh Food Product in SME’s Online Business with Fuzzy AHP-TOPSIS Integration," ASEAN Engineering Journal, vol. 13, no. 3, pp. 71–79, Aug. 2023.
C. Scheffer and P. Girdhar, Practical Machinery Vibration Analysis and Predictive Maintenance. Burlington, MA, USA: Elsevier, 2004.
S. Punia Sindhu, V. Nehra, and S. Luthra, "Recognition and prioritization of challenges in growth of solar energy using analytical hierarchy process: Indian outlook," Energy, vol. 100, pp. 332–348, Apr. 2016.
M. Z. Syed et al., "Prioritization of Occupational Accident Causes in the Automotive Manufacturing," Engineering, Technology & Applied Science Research, vol. 12, no. 3, pp. 8718–8722, Jun. 2022.
S. Z. M. Dawal, N. Yusoff, H.-T. Nguyen, and H. Aoyama, "Multi-attribute decision-making for CNC Machine Tool Selection in FMC based on The Integration of The Improved Consistent Fuzzy AHP and TOPSIS," ASEAN Engineering Journal, vol. 3, no. 2, pp. 15–31, 2013.
H. A. Abdel Khalek, R. F. Aziz, and A. H. Abdeen, "Identify and prioritize the major influencing causes of automated concrete mixing system for mega construction projects using analytic hierarchy process," Alexandria Engineering Journal, vol. 57, no. 4, pp. 3451–3461, Dec. 2018.
A. Pathania and G. Rasool, "Investigating E tailer’s perceived Website Quality using Analytical Hierarchy Process Technique," Procedia Computer Science, vol. 122, pp. 1016–1023, Jan. 2017.
S. N. F. Zuraidi, M. A. A. Rahman, and Z. A. Akasah, "A Study of using AHP Method to Evaluate the Criteria and Attribute of Defects in Heritage Building," E3S Web of Conferences, vol. 65, 2018, Art. no. 01002.
K. B. Eckert and P. V. Britos, "Proposed extended analytic hierarchical process for selecting data science methodologies," Journal of Computer Science and Technology, vol. 21, no. 1, pp. 49–58, Apr. 2021.
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