Abstract:
Due to widespread automation and the high
capital tied up in production equipment, the importance of
maintenance is ever increasing. This makes maintenance
an investment opportunity to be optimized, not a cost to be
minimized. Academics have recognized this and many
maintenance optimization models have been published
over the years. Most of these models focus on one optimization criterion or objective, making multi-objective
optimization models an underexplored area of maintenance
optimization. Moreover, there is a big gap between academic models and application in practice. It is very difficult
for industrial companies to adapt these models to their
specific business context. This article reviews the literature
on maintenance optimization models, with special focus on
the optimization criteria and objectives used. To overcome
flaws in present optimization models, a generic classification framework of maintenance optimization models is
presented. All factors that have an influence on the optimization model will be made explicit and their links will be
established. The framework is a starting point to develop
business specific optimization models and enables decision
making in e-maintenance. Moreover, it ensures a fit
between the business model of a company and the maintenance optimization model right from the beginning.
Future research will be on the development of a
maintenance optimization model taking into account the
most relevant optimization influence factors and criteria for
a situation at hand.