Journal of Quality in Maintenance Engineering
Опубликовано на портале: 10-01-2003
Emanuel 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: 09-01-2003
Jezdimir 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.
