Journal of Quality in Maintenance Engineering
An analysis of personnel capacity requirement in the maintenance department by using a simulation method (Анализ способностей набираемого персонала методом моделирования) [статья]
Опубликовано на портале: 10-01-2003Emanuel A.M. Mjema Journal of Quality in Maintenance Engineering. 2002. Vol. 8. No. 3. P. 253 - 273.
A simulation modelling, using a simulation language SIMPLE++, was used to study the personnel capacity utilisation in a maintenance department. Input data included work orders with different throughput times, different personnel profile based on work order requirements, and different prioritisation rules. A decentralised maintenance department was assumed, whereby each department had its own maintenance unit. The effects of personnel organisational policies on the capacity utilisation of the personnel and on the throughput time of maintenance work orders were studied. The results of the simulation show that the best utilisation of the personnel and the best throughput time of maintenance work orders is obtained if the maintenance personnel are allowed to function across the borders of their department (here termed as exchangeability of personnel). Likewise, if there were universal maintenance personnel (i.e. who could take both electrical and mechanical work orders), then there would have been an optimum staffing of the maintenance department.
Опубликовано на портале: 09-01-2003Jezdimir Knezevic Journal of Quality in Maintenance Engineering. 1995. Vol. 1. No. 1. P. 60 - 68.
Accurate selection of the quality of maintenance resources, such as spares, tools, equipment, personnel, technical data, facilities and so forth, has a strong influence on mission success, and the cost of ownership. Among maintenance resources, spare part requirements are the most difficult to predict. Items within any system are very different from the point of view of reliability, cost, weight, volume, etc. Hence, the selection of spares for a planned mission must take into account all these features. Presents the generic mission success-driven spares model developed for complex systems. The mathematical analysis used in the model enables the user to make the most suitable selection of the spares package for the planned mission. The illustrative examples presented clearly demonstrate the applicability and usefulness of the model introduced.