Availability optimization of a series-parallel systems using genetic algorithms

Paper, 5ppDue to complicated structure of industrial systems, system-availability has become an increasinglyimportant issue. If the reliability of a complex system is increased, the related cost will also increase. The objective of this paper is to improve the design efficiency and to findthe most optimal policy for MTBF (mean time between failures), MTTR (mean time to repair) and related costs.Pulping system, the main functionary part of paper industry, is the subject of study. MTBF and MTTR of various components, during the design phase, are obtained using genetic algorithms (GAs), in a cost effective manner, which helps the system analyst to formulate optimal designpolicies and repair policies.