A preventive maintenance cost model application

Abstract

This thesis has developed a proposed model for the solution of the problem of determining, on the basis of cost, how to maintain industrial equipment subject to wearout failure. Bayesian statistics are used to determine the parts or pieces of equipment which contribute the most to system failure