Preventive Maintenance Scheduling Based On Given Budget Fitness Function Using Generational Genetic Algorithm

Abstract

Cost function analysis is an important activity in order to optimize the multi objective function using
genetic algorithms. This is due to the accuracy of the resulting cost of components will be part of the input to the
programming process which will affect preventive maintenance schedule for components of the engine. Multi
objective cost analysis in optimization will be associated with the reliability of the machine that is expected to be
maximized at minimum cost. The cost analysis will also use technical economic parameters namely the failure of
inflation, inflation of maintenance, replacement cost inflation, and the inflation of rate fixed cost.