Js. Tan et Ma. Kramer, A GENERAL FRAMEWORK FOR PREVENTIVE MAINTENANCE OPTIMIZATION IN CHEMICAL PROCESS OPERATIONS, Computers & chemical engineering, 21(12), 1997, pp. 1451-1469
Chemical process reliability has become more recognized both in terms
of its impact on economics, and for providing academically challenging
problems. In this work, we give an overview of some of the major chal
lenges in formulating and optimizing preventive maintenance. As a resu
lt, we propose a general framework for preventive maintenance optimiza
tion that combines Monte Carlo simulation with a genetic algorithm. Th
is proposed approach has distinct advantages. When applied to opportun
istic maintenance problems, the method developed overcomes demonstrate
d shortcomings with analytic or Markov techniques in terms of solution
accuracy, versatility, and tractability. The framework is easily inte
grable with general process planning and scheduling, and it provides s
ensitivity analysis. Furthermore, a genetic algorithm combines well wi
th Monte Carlo simulation to optimize a non-deterministic objective fu
nction. (C) 1997 Elsevier Science Ltd.