Abstract
Overall Equipment Effectiveness is a widely used and customary indicator for evaluating industrial performance. Overall Equipment Effectiveness (OEE) of a system is a metric that integrates availability, performance, and quality into a single dimension to assess how effectively a production process is functioning and what variables are holding it from getting the maximum efficiency. All control factors, i.e., availability rate, performance rate, and quality rate, are given an equal weight in the measurement of Overall Equipment Effectiveness. This assumption, however, may not be appropriate for each and every company. Analytic Hierarchy Process (AHP) methodology is employed in this study, to obtain the normalized OEE, which is significant for the company, by evaluating the relative significance of each performance index.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Nakajima, S.: Introduction to Total Productive Maintenance, 11th edn. Productivity Press, Cambridge (1988)
Dal, B., Tugwell, P., Greatbanks, R.: Overall equipment effectiveness as a measure for operational improvement. Int. J. Oper. Prod. Manag. 20(12), 1488–1502 (2000)
Ljungberg, O.: Measurement of overall equipment effectiveness as a basis for TPM activities. Int. J. Oper. Prod. Manag. 18(5), 495–507 (1988)
Madu, A.N.: On the total productivity management of maintenance float system through AHP applications. Int. J. Prod. Econ. 34(2), 201–207 (1994)
Waeyenbergh, G., Pintelon, L.: A framework for maintenance concept development. Int. J. Prod. Econ. 77(3), 299–313 (2002)
Ericsson, J.: Disruption analysis—an impact tool in lean production. Ph.D. thesis, Department of Production and Materials Engineering, Lund University, Lund (1997)
Oechsner, R., Pfefter, M., Pfitzner, L., Binder, H., Muller, E., Vonderstrass, T.: From overall equipment efficiency (OEE) to overall fab effectiveness (OFE). Mater. Sci. Semicond. Process. 5, 333–339 (2003)
Dadashnejad, A.A., Valmohammadi, C.: Investigating the effect of value stream mapping on overall equipment effectiveness: a case study. Total Qual. Manag. Bus. Excell. 30(3), 466–482 (2019)
Mahadevan, S.: Automated simulation analysis of overall equipment effectiveness metrics. M.S. thesis, University of Cincinnati (2004)
Raouf, A.: Improving capital productivity through maintenance. Int. J. Oper. Prod. Manag. 14(7), 44–52 (1994)
Ghosh, D., Roy, S.: A DM framework for process plant maintenance. Eur. J. Ind. Eng. 4(1), 78–98 (2009)
Fântână, G.I., Oae, S.A., Gurau, A.M.: Decision making using the AHP. In: International Conference on MEQAPS, vol. 13, pp. 119–124 (2013)
Gonçalves, C.D.F., Dias, J.A.M., Machado, V.A.C.: MCDM for selecting maintenance key performance indicators. Int. J. Manag. Sci. Eng. Manag. 10(3), 215–223 (2015)
Braglia, M.: MAFMA: multi-attribute failure mode analysis. Int. J. Qual. Reliab. Manag. 17(9), 1017–1033 (2000)
Sachdeva, A., Kumar, D., Kumar, P.: A methodology to determine maintenance criticality using AHP. Int. J. Prod. Qual. Manag. 3(4), 396–412 (2008)
Dehghanian, P., Fotuhi-Firuzabad, M., Bagheri- Shouraki, S., Kazemi, A.A.R.: Critical component identification in reliability centered asset management of power distribution systems via fuzzy AHP. IEEE Syst. J. 6(4), 593–602 (2012)
Singh, R.K., Kulkarni, M.S.: Criticality analysis of power-plant equipments using the AHP. Int. J. Ind. Eng. Technol. 3(4), 1–13 (2013)
Meddaoui, A., Bouami, D.: Decision making in maintenance using AHP and time-driven activity based costing. Int. J. Prod. Qual. Manag. 13(4), 450–470 (2014)
Khaira, A., Dwivdy, R.: A two step decision making approach for identification of critical equipment using analytical hierarchy process and preference ranking organization method for enrichment evaluations with improved normalization. Eng. Rev. 39(2), 174–185 (2019)
Saaty, T.L.: The Analytic Hierarchy Process. McGraw-Hill, New York (1980)
Saaty, T.L.: Multicriteria Decision Making: The Analytic Hierarchy Process. RWS Publications (1990)
Oeltjenbruns, H., Kolarik, W.J.: Strategic planning in manufacturing systems—AHP application to an equipment replacement decision. Int. J. Prod. Econ. 38, 189–197 (1995)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Biswal, D.K., Muduli, K., Biswal, J.N. (2023). Analytical Hierarchy Process Strategy for Assessment of Overall Equipment Effectiveness. In: Deepak, B., Bahubalendruni, M.R., Parhi, D., Biswal, B.B. (eds) Recent Trends in Product Design and Intelligent Manufacturing Systems. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-4606-6_29
Download citation
DOI: https://doi.org/10.1007/978-981-19-4606-6_29
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-4605-9
Online ISBN: 978-981-19-4606-6
eBook Packages: EngineeringEngineering (R0)