An Integrated Fuzzy Analytical Hierarchical Process and Fuzzy Grey Relational Analytical Model with Vikor for Maintenance System Appraisal
DOI:
https://doi.org/10.2022/jmet.v9i1.951Abstract
The motivation for this research lies in the understanding that the evaluation of a maintenance department for a manufacturing organization strongly depends on a wide range of uncertainties and vague parameters. Consequently, utilising intuition may not be technically correct and downplays on the supposed results for the right management decisions on maintenance. The need for a new method to correct this anomaly is very much pressing to enhance the performance of maintenance systems. In this paper, the fusion of fuzzy analytical hierarchy process with fuzzy grey relational analysis as well as VIKOR is presented. A measuring instrument, questionnaire, for evaluating the performance of maintenance systems was developed and administered in four companies. Using the pair-wise comparisons of criteria relevant to systems reliability, profitability, lead-time, system safety, production cost and manufacturing goals, the crisp values for the major components were generated. Computation of the grey relational grade, best and moist values, utility regret measure and VIKOR index, and finally the ranking of the maintenance system were made. The approach is feasible in maintenance system evaluation. The unique and innovative approach that established a link between maintenance system’s goals and variables when dealing with maintenance system appraisal is the main novelty of the work. An additional novelty not reported earlier in literature is the consideration of human attributes and environments in an integrated manner. This study contributes a significant approach for correctly evaluating the technical aspects of the maintenance system.Downloads
References
Ahren T. and Parida A. 2009. Maintenance performance indicators (MPI) for benchmarking the railway infrastructure. A case study, Benchmarking: An International Journal, 16(2), pp. 247-258.
Baluch N., Abdullah C.S.B. and Mohtar S.B. (2010). Maintenance management performance: An overview towards evaluating Malaysian palm oil mill. The Asian Journal of Technology Management, 3(1), pp. 1-4.
Chang D.Y. (1996). Application of extend analysis method on fuzzy AHP. European Journal of Operational Research, 96, pp. 343-350.
De Groote P. 1995. Maintenance performance analysis: A practical approach, Journal of Quality in Maintenance Engineering, 1(2), pp. 4-24.
Elangovan K., Selladurai V., Devadasan S.R., Goyal S.K., Muthu S., 2007. Quality and productivity improvement of executive decisions in maintenance engineering: An ESS-based approach, International Journal of Productivity and Quality Management, 2(1), pp. 112-139.
Girubha R.J. and Vinodh S. (2012). Application of fuzzy VIKOR and environmental impact analysis for material selection of an automotive component. Materials and Design, 37, pp. 478-486.
Hasani H., Tabatabaei S.A. and Amiri G. (2012). Grey relational analysis to determine the optimum process parameters for open-end spinning yarns. Journal of Engineered Fibers and Fabrics, 7(2), pp. 81-86.
Khan M.R.R, Darrab I.A. 2010. Development of analytical relation between maintenance, quality and productivity, Journal of Quality in Maintenance Engineering, 16(4), pp. 341-353.
Kumar U. and Parida A. 2006. Maintenance performance measurement: The need of the hour for the mechanized mining industry, Proceedings of the 1st Asian Mining Congress, 16-18 Jan 2006, Kolkatha, India.
Maletic D., Maletic M., Al-Najjar B., Gomiscek B., 2014. The role of maintenance in improving company’s competitiveness and profitability: A case study in a textile company, Journal of Manufacturing Technology Management, 25(4), and pp.441-456.
Muchiri P., Pintelon L., Gelders L. and Martin H. (2011). Development of maintenance function performance measurement framework and indicators. International Journal of Production Economics, 131(1), pp. 295-302.
Oke S.A. 2005. An analytical model for the optimization of maintenance profitability, International Journal of Productivity and Performance Management, 54(2), pp.113-136.
Oke S.A. Oyedokun O.I, Akanbi O.G, Oyawale F.A. 2008. An inflation-based maintenance profitability model, International Journal of Productivity and Quality Management, 3(3), pp. 325-339.
Opricovic S. and Tzeng G.H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operations Research, 156, pp. 445-455.
Parida A. and Kumar U. 2004. Managing information is key to maintenance effectiveness, e-Proceedings of the Intelligent Maintenance System’s (IMS), July 15-17, Arles, France.
Parida A., Chattopadhyay G. and Kumar U. 2005. Multi-criteria maintenance performance measurement: A conceptual model. Proceedings of the 18th International Congress of Condition Monitoring and Diagnostic Engineering Management, 31 August – 2 September, Cranfield, UK, pp. 349-356.
Parida A. and Kumar U. 2006. Maintenance performance measurement (MPM): Issues and challenges, Journal of Quality in Maintenance Engineering, 12(3), pp. 239-251.
Parida A. 2007. Study and analysis of maintenance performance indicators (MPIs) for LKAB: A case study, Journal of Quality in Maintenance Engineering, 13(4), pp. 325-327.
Parida A and Uday K. 2009. Maintenance performance measurement: methods, tools and application, MaintWorld, 1(1), pp. 50-53.
Raouf A, 1994. Improving capital productivity through maintenance, International Journal of Operations & Production Management, 14(7), pp. 44-52.
Wang C-H. and Pang C-T. (2011). Using VIKOR Method for Evaluating Service Quality of Online Auction under Fuzzy Environment. International Journal of Computer Science Engineering and Technology, 1(6), pp. 307-314.
PlantWeb (2003).White paper: Reducing operations and maintenance costs. www.EmersonProcess.com (Accessed June 20, 2016).
Saaty T.L. (1990). How to make a decision: The analytic hierarchy process. European Journal of Operational Research, 48, pp. 9-26.
Simoes, J.M., Gomes, C.F. and Yasin M.M. (2011). A literature review of maintenance performance measurement: A conceptual framework and directions for future research, Journal of Quality in Maintenance Engineering, 17(2), pp.116-137.
Sondalini M (2016). Useful key performance indicators for maintenance. www.lifetime-reliability.com (Accessed June 20, 2016).
Wu H-Y., Chen J-K. and Chen I-S. (2012). Performance evaluation of aircraft maintenance staff using a fuzzy MCDM approach. International Journal of Innovative Computing, Information and Control, 8(6), pp. 3919- 3937.
Downloads
Published
Issue
Section
License
JMET Copyright Principles
JMET seeks to retain copyright of the articles it publishes, without the authors giving up their right to use their own material.
Originality
The manuscript is neither been published before, nor is it under consideration for publication in any other journals. It contains no matter that is scandalous, obscene, libelous or otherwise contrary to law.
Terms of Acceptance
When the article is accepted for publication, the authors shall hereby agree to transfer to the Journal of Mechanical Engineering and Technology, all rights, including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):
All proprietary right other than copyright, such as patent rights.
- The right to make further copies of all or part of the published article for my/our use in classroom teaching.
- The right to reuse all or part of this material in a compilation of my/our own works or in a textbook of which I/we am/are the author(s).
- The right to make copies of the published work for internal distribution within the institution that employs me/us.
The authors agree that copies made under these circumstances will continue to carry the copyright notice that appeared in the original published work. The authors agree to inform any co-authors, if any, of the above terms. The authors certify that they have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and they agree to supply such written permission(s) to Journal of Mechanical Engineering and Technology upon request.