MANUAL Published: 29 April 2013

Maintenance Simulation and Optimization in Refineries and Process Plants


This chapter outlines recent efforts to perform Monte Carlo simulation to obtain an assessment of the effect of existing corrective and preventive maintenance practices incorporating details of available labor, task assignment rules, and parts inventory on the plant economics. In addition, the use of a genetic algorithm in conjunction with the Monte Carlo simulation to obtain the economically optimal preventive maintenance frequency, the parts inventory policy (number and type of spare parts to keep in stock), and the labor allocation is presented. The performance of the algorithm is illustrated using the data of a fluid catalytic cracking plant.

Author Information

Bagajewicz, Miguel
University of Oklahoma, Norman, OK, US
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Developed by Committee: D02
Pages: 675–683
DOI: 10.1520/MNL5820131213927
ISBN-EB: 978-0-8031-8681-1
ISBN-13: 978-0-8031-7022-3