  Considering the close interaction between spare parts logistics and
maintenance planning, this paper presents a model for joint optimization of
multi-location spare parts supply chain and condition-based maintenance under
predictive and opportunistic approaches. Simultaneous use of the imperfect
maintenance actions and innovative policy on spare part ordering, which is
defined based on the deterioration characteristic of the system, is a
significant contribution to the research. This paper also proposes the method
to determine the inspection time which not only considers restraints of the
both maintenance and spare parts provision policies, but also uses an
event-driven approach in order to prevent unnecessary inspections. Defined
decision variables such reliability, upper limit for spare parts order
quantity, preventive maintenance threshold, re-ordering level of degradation,
and the maximum level of successive imperfect actions will be optimized via
stochastic Monte-Carlo simulation. The optimization follows two objectives: (1)
system should reach the expected availability which helps decision makers apply
the opportunistic approach (2) and cost rate function as an objective function
must be minimized. To illustrate the use of the proposed model, a numerical
example and its results finally is presented. Key words: maintenance,
multi-location supply chain, spare parts inventory, imperfect maintenance,
predictive inspection, opportunistic approach, availability, reliability
