The problem tackled by the present paper concerns the selection of the elements of a repairable and stochasticallydeteriorating multi-component system to replace (replacements configuration) during each scheduled andperiodical system stop within a finite optimization cycle, by ensuring the simultaneous minimization of both theexpected total maintenance cost and the system unavailability. To solve the considered problem, a combinedapproach between multi-objective optimization problem (MOOP) and multi-criteria decision making (MCDM)resolution techniques is proposed. In particular, the ε constraint method is used to single out the optimal Paretofrontier whereas the ELECTRE III multi-criteria decision support method is proposed to support the selectionof the replacements configuration that represents the best compromise among the considered objectives. Theproposed approach is sequentially applied at each scheduled system stop by allowing the dynamic updating ofthe information about the decisional context in which the decision maker has to operate. To illustrate thewhole procedure a numerical case study is solved for different hypothesized scenarios related to the importanceattributed by the decision maker to the system unavailability and the maintenance cost objectives.
|Numero di pagine||9|
|Rivista||Decision Support Systems|
|Stato di pubblicazione||Published - 2013|
All Science Journal Classification (ASJC) codes