Integrated production planning and condition-based maintenance considering uncertain demand and random failures

This article proposes a proactive approach for the integrated problem of production planning and condition-based maintenance under uncertain environment, that is, the exogenous uncertainty of demand and the endogenous uncertainty of failure. Considering that the production system has limited capacity and suffers degradation with usage, an integration model of production planning and condition-based maintenance policy is proposed, in which the maintenance threshold and production quantity are proactively decided simultaneously. The robust and stable solution of the complicated non-linear model is obtained by a simulation-based multi-population genetic algorithm. Numerical results not only show the impacts of different factors on the model, but also prove the superiority of the developed model and algorithm in uncertain environment.