A New Tool for the Evaluation and Optimization of the Scheduling of Preventive Maintenance in for Chemical Process Plants Authors Miguel Bagajewicz(+), Kehinde Adesoye, Christopher Brammer, Mike Mills, and DuyQuang Nguyen Institution School of Chemical, Biological and Materials Engineering, The University of Oklahoma, 100 E. Boyd St., T335, Norman, OK 73019 Keywords: Preventive Maintenance, Corrective Maintenance Abstract A new methodology designed to optimize both the scheduling of preventive maintenance and the amount of resources needed to perform maintenance on a chemical process plant is presented. The methodology is based on the use of genetic algorithms to determine what schedule is most appropriate, while evaluating each of these using a Monte Carlo simulation. The overall goal of this method is to facilitate improvements in plant safety, reduce equipment replacement costs, and reduce economic losses due to downtime or reduced production. The simulation will accurately describe the equipment in a process plant by including several
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