摘要
The use of technical condition information provided by intelligent maintenance systems improves the reliability of spare parts demand forecasts. This paper aims to propose and test a procedure to integrate demand forecasts derived from technical condition information into the operational planning of spare parts supply chains. The procedure employs mathematical programming and a simulation-based sensitivity analysis. Through the development of a proof-of-concept, it was possible to verify that the procedure allows for the minimization of total costs while ensuring service level regarding the delivery of the orders in a predefined time.
- 出版日期2014