Spare parts supply chains’ operational planning using technical condition information from intelligent maintenance systems |
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| Affiliation: | 1. Universidade Federal de Santa Catarina – UFSC, Departamento de Engenharia de Produção e Sistemas, Florianópolis, SC, Brazil;2. Universidade Federal do Rio Grande do Sul – UFRGS, Departamento de Engenharia Elétrica, Porto Alegre, RS, Brazil;3. University of Münster, Chair for Information Systems and Supply Chain Management, Münster, NRW, Germany;1. University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands;2. Eindhoven University of Technology, P.O. Box 513, 5600 MB, Eindhoven, The Netherlands;1. LogDyanamics Lab at the University of Bremen, Hochschulring 20, 28359 Bremen, Germany;2. BIBA – Bremer Institut für Produktion und Logistik GmbH, Hochschulring 20, 28359 Bremen, Germany;1. Department of Mechanical and Industrial Engineering, Concordia University, 1515 St. Catherine Street W., EV4.243, Montreal, QC, Canada H3G 1M8;2. Department of Mechanical Engineering, Université Laval, Canada;3. Interuniversity Research Center on Enterprise Networks, Logistics, and Transportation (CIRRELT), Canada;1. Department of Mechanical Engineering, Jiangsu University, Zhenjiang 212013, PR China;2. Department of Mechanical Engineering, Southeast University, Nanjing 211189, PR China;3. Jiangsu Key Laboratory of Large Engineering Equipment Detection and Control, Xuzhou Institute of Technology, Xuzhou 221018, PR China;4. Nanjing Institute of Technology, Nanjing 211189, PR China |
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| Abstract: | 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. |
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