报告题目：Condition (sensor) based Production and Maintenance Decisions
报告人：Prof. Ruud Teunter，the University of Groningen (Netherlands)
报告时间：2019年10月16日下午2：00-4：00
报告地点：中国科学院大学中关村校区教学楼N413
Abstract: Problem Definition: Many production systems deteriorate over time as a result of load and stress caused by production. The deterioration rate of these systems typically depends on the production rate, implying that the equipment’s deterioration rate can be controlled by adjusting the production rate. We introduce the use of condition monitoring to dynamically adjust the production rate to minimize maintenance costs and maximize production revenues. We study a single-unit system for which the next maintenance action is scheduled upfront. Academic/Practical Relevance: Condition-based maintenance decisions are frequently seen in the literature. However, in many real-life systems, maintenance planning has limited flexibility and cannot be done last minute. As an alternative, we are the first to propose using condition information to optimize the production rate, which is a more flexible short-term decision. Methodology: We derive structural optimality results from the analysis of deterministic deterioration processes. A Markov decision process formulation of the problem is used to obtain numerical results for stochastic deterioration processes. Results: The structure of the optimal policy strongly depends on the (convex or concave) relation between the production rate and the corresponding deterioration rate. Condition-based production rate decisions result in significant cost savings (by up to 50%), achieved by better balancing the failure risk and production output. Managerial Implications: Using condition information to dynamically adjust production rates provides opportunities to improve the operational performance of systems with production-dependent deterioration.
Bio: Ruud Teunter is a Prof. of Operational Research and Head of Research for the department of Operations at the University of Groningen (Netherlands). In the past, he has held positions at universities in Magdeburg (Germany), Thessaloniki (Greece), Rotterdam (Netherlands) and Lancaster (UK). He has published in a wide range of OR and OM journals, including MSOM, POM, JOM, Omega, TR-B and EJOR (H-index: Google Scholar 45, Scopus 37, WoS 33). His main research interest is in forecasting and inventory control, but he also diverged to routing/transportation, (reverse) logistics, and wind farm logistics He currently serves as the past president of International Society for Inventory Research and is editor of the European Journal of Operational Research. He has lead and is leading a number of research consortia with knowledge as well as industry partners, and is currently a member of the scientific committee for the top sector Logistics in The Netherlands.
