Modeling Maintenance Productivity Measurement

Modeling Maintenance Productivity Measurement

Christian A. Bolu (Federal University Oye-Ekiti, Nigeria)
DOI: 10.4018/978-1-4666-2208-1.ch008
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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 problems 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 breakdowns 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.
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Approaches To Modeling Maintenance Productivity

The word productivity is used in a variety of sense some of which are conflicting or very qualitative (namely, “efficiency”, “overall effectiveness”, etc). Similarly, the definition of “productivity” is varied. Productivity is often confused with “output” or “profitability”. Whilst a good total productivity implies profitability, the converse does not hold. Profitability is affected by market prices and accounting practice. Productivity is defined simply as a relationship of output to input.

In sharp contrast to production, the performance of maintenance activity does not lend itself easily to expression in simple or unified figures. However, in the last two decades, the measurement of maintenance performance and productivity has engaged the attention of productivity engineers. (Priel, 1974) has written on maintenance organization particularly on performance ratios. He has identified twenty of such maintenance ratios. Some of the ratios are useful in establishing the basis for incentive scheme for maintenance personnel. (Hamlin, 1979) has shown various methods and (Alli, Ogunwolu, & Oke, 2011) applied same to measure maintenance productivity through their case studies. (Chan, Lau, Ip, Chan, & Kong, 2005), applying total productive maintenance approach to the electronics industry, (Eti, Ogaji, Probert, 2004 to the manufacturing industries in a developing country, (Lilly, Obiajulu, Ogaji, &Probert, 2007) to the petroleum-product marketing company and (Ahn & Abt, 2006), to the sawmills and planning mills industry provides examples of total productivity measurements in industry.

Another interesting point of view is provided by (Nanere, M, Fraser, I, Quazi, A, & D’Souza, C, 2007), who critically examines various methods for estimating productivity incorporating environmental effects and shows that adjusting for environmental impacts can result in higher and lower productivity depending on the assumed form of the damage. Although this was applies to the agriculture sector, this could be applicable to industrial environment, where work place hygiene and design could impact negatively or positively to productivity.

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