2011
EMSS 2011 Proceeding
Stochastic Optimization of Industrial Maintenance Strategies
Authors: Francisco Castellanos, Ann Wellens
Abstract
The dynamics of business requires industries to produce more and more at the lowest cost, highest quality and a high level of reliability (availability and reliability of their equipment) to meet the stringent technical, economical and legal requirements, and to remain efficiently and competitively in the market. The aim of this research is the development of a mathematical simulation model for the optimization of maintenance policy in a complex industrial production system, in which maintenance practices and production are integrated into a single procedure, in which control variables are the maintenance policies. This was done using a combination of maintenance management techniques and stochastic processes. This work combines an efficient methodology for maintenance management, such as RCM, with mathematical modeling, to be able to optimize the availability of a complex system. To be able to compare different maintenance strategies and the corresponding reliability, availability and economics, the model?s output variables are the system and parts availability in a given time. Two different simulation strategies were used, on one hand being the modeling of the complex system using an Excel database and the interaction of variables through constraints and likelyhood behavior, and on the other hand Matlab?s Simulink / SimEvents, feeded by equipment characteristics, behavior, the companies? environment, needs and maintenance strategy actions.
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