Bolu, Christian (2013) Modeling Maintenance Productivity Measurement of Engineering Production Systems: Discrete Event Simulation Approach. International Journal of Mechanical & Mechatronics Engineering, 13 (05).
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Abstract
Modeling and simulation of industrial information communication systems and networks is one of the major concerns of productivity engineers for the establishment of productivity standards in virtually all functional areas of an industrial organization. Maintenance function is one of such areas that have always engaged the attention of engineering productivity practitioners. However, one of the basic prob- lems is the difficulty in setting up integrated but easy and practical measurement schemes. Even where the measures are set up, the approaches to measurement sometimes are conflicting. Therefore the need for an integrated approach to optimize the basket of parameters measured remains. In this chapter the author attempts to identify approaches in integrated and systematic maintenance productivity measurement and create models for optimising total productivity in maintenance systems. Visual yardstick, utility, queuing systems and simulations approaches for measurement of maintenance productivity are all discussed with a particular focus on markov chain approach for stochastic break- downs in repairable systems.. The chapter also shows how understanding the impact of plant failure and repair/service distributions assists in providing measures for maintenance productivity using discrete event system simulation.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Optimisation, Productivity, Maintenance, Markov Chain, Queuing Theory, System Dynamics, Discrete Event Simulation, Composite |
| Subjects: | T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Engineering Sciences |
| Depositing User: | Mr Adewole Adewumi |
| Date Deposited: | 13 Aug 2013 17:03 |
| Last Modified: | 09 Jan 2019 14:13 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/1275 |
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