A simulated annealing-based approach for the joint optimization of production/inventory and preventive maintenance policies

摘要

Even if more reliable than the past, the performance ofudmodern manufacturing systems is still affected by machine’suddeteriorations and breakdowns. As a consequence, adequateudmaintenance programs must be implemented to adequately satisfyuddemands during manufacturing stops due to unexpected failuresudor preventive maintenance (PM) actions.Despite productionudand maintenance are closely related issues, their joint optimizationudhas become an important research topic just during the lastuddecade. Therefore, the present paper proposes a model for theudcombined optimization of production/inventory control and PMudpolicies with the aim of minimizing the total expected cost perudunit time. The model is formulated referring to a continuousudproduction system characterized by a random deteriorating behaviorudso that the presence of a buffer is considered to ensure audcontinuous products supply during interruptions of serviceudcaused by breakdowns or planned maintenance actions on theudproduction system. Unlike the main part of the existing literature,udnon-restriction on the failure occurrence is here forced, namelyudthat the manufacturing system may fail at any age within theudproduction cycle as well as more than one failure may occurudduring the same period. A Simulated Annealing-based algorithmudcombined with aMonte Carlo simulation module is proposed asuda resolution approach. The robustness of the developed algorithmudis demonstrated by means of repeated runs of different simulatedudscenarios characterized by diverse sets of cost parameters.udResults also confirm the effectiveness of the proposed threeleveludtheoretical inventory profile.