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Implementation of CMMS Software for a Maintenance Plan in a Manufacturing Industry

Authors: Esther T. Akinlabi, Abimbola O. Aniki


This paper proposes an effective maintenance method by considering the implementation of the Computerized Maintenance Management System (CMMS) software to plan a maintenance activity in a manufacturing industry. Globally, maintenance is a very important activity in the manufacturing sector to prolong the life span of equipment and machinery; it is also applicable to all household items. It is obvious and well known that apart from giving long life to equipment, it reduces the substantial financial losses for repairs and save the production downtime. In some cases, appropriate maintenance of plant equipment and machinery reduces the tendencies of injuries to personnel in the job floor. But before the maintenance process can be carried out, proper and effective work order planning and scheduling must be in place in other to achieve the set goals and objectives of a maintenance shop. Brief reviews of common planning tools which include the Computerized Maintenance Management System (CMMS) are presented. An interesting outline of analyses on planning and scheduling for effective job planning in a typical manufacturing industry using the CMMS is also presented and discussed. Finally, the steps to adhere to in making job planning effective in a manufacturing industry are also highlighted.

Keywords: preventive maintenance (PM), Advanced Downtime Analysis Programme (ADAP), Computerized Maintenance Management System (CMMS), Corrective Maintenance (CM), Executing Department (ED), Maintenance Department (MD)

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[1] B. Chris. Analysis of Engineering System, Heinemann, 2007. South Africa.
[2] D. M. Russel. Planning and Understanding: Review of Wilensky 83. 1984. Journal of Artificial Intelligence. Vol. 23. 239-242.
[3] B. Harysroth and F. Hayesroth. A cognitive model of planning: Cognitive Science, 1979. Vol. 3 275-310.
[4] P. F. McCalla, G. Reid and L. Schneider. Plan creation, plan execution and knowledge acquisition in a dynamic microworld: International Journal of Man Machine Studies. 1982. Vol 16. 89-112.
[5] J. Sanborn and J. Hendler. A model of reaction for planning in dynamic environments: International Journal of Artificial Intelligence in Engineering. 1988. Vol 3. 95-102.
[6] M. Veloso, H. Munioz and R. Bergmann. Case based planning: selected methods and systems; Journal of A1 communications, 1996.Vol 9. 128-137.
[7] P. Baptiste and P. Claude Le. Disjunctive constraints for manufacturing scheduling, principles and extensions: International Journal of Computer integrated manufacturing.1996.Vol 9. 306-310.
[8] J. A. Ingerson. Relationships between planning and execution: AISB Quarterly, Vol 57, 11-14.
[9] T. Wireman. Developing performance indicators for managing maintenance. 2005. Industrial Press Inc. New York.
[10] A. Mukattash, R. H. Fouad, H. Kitan and M. Samhouri. Computer-Aided maintenance planning system for industrial companies. Jordan Journal of Mechanical and Industrial Engineering. 2011. Vol. 5 No 3. 227 – 234.
[11] L. C. Morow Maintenance Engineering Hand Book, Mc Graw Hill, New York.1977.
[12] W. Peter. Total Production Maintenance the Western Way, Butterworth, Heinemann. 1994, Oxford, London.