Joint optimization of maintenance and inventory policies for multi-unit systems

摘要: A maintenance policy and the management of inventory spare parts their joint optimization often challenge managers researchers. In this paper, first analytical model is established. simulation then developed for system operating under suggested condition-based to optimize outline mining dump truck motors based on oil monitoring. Our combined with a genetic algorithm obtain optimal response. presented model, Inspection intervals ( $$T$$ T ) maximum stock level $$S$$ S are jointly optimized minimizing cost. To build sample various repair events, 11,000 analysis data used. The deterioration shown an increasing numerical variable over time, which follows function. Using existing datasets, rate function obtained. Another process required failure probability Due extent breakdowns, there uncertainties different values. Condition-based used determine failure. end, results compared current costs resulting from workshop policies.