Approach for Integrating Condition Monitoring Information and Forecasting Methods to Enhance Spare Parts Supply Chain Planning

Abstract

Precise estimation of part failure and hence system breakdowns are required to reduce or avoid the downtimes of machines and inventories. If detected sufficiently early, potentially broken parts of a machine might even lead to no necessity of storing the respective spare part. For estimating the breakdown date as accurately as possible this article conceptualizes an approach for integrating condition monitoring information provided by Intelligent Maintenance Systems and forecasting methods. Thus, the research objective is to improve the forecasting quality of estimated machine breakdowns in order to enhance the planning of the spare parts supply chain.