Optimizing PM Intervals for Manufacturing Industries Using Delay-time Analysis and MOGA.

Overall productivity and profitability are directly affected by the adopted maintenance policy for any manufacturing industry. It should maximize the availability of the system and minimize operating costs. This article attempts to develop a preventive maintenance (PM) model based on delay-time analysis to reduce the downtime and cost of maintenance activities. The developed maintenance model is optimized using a multi-objective genetic algorithm (MOGA) to determine the optimal maintenance frequency. Further, sensitivity analysis is performed to verify the consistency of the proposed model. Lastly, the model's applicability is tested by implementing it in a foundry unit, and a drastic reduction in overall maintenance downtime and cost almost by 71.69% is achieved. [ABSTRACT FROM AUTHOR]