期刊
ANNUAL REVIEWS IN CONTROL
卷 38, 期 1, 页码 147-154出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.arcontrol.2014.03.014
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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. (C) 2014 Elsevier Ltd. All rights reserved.
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