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孙秋壮助理教授学术报告会
作者:发布时间:2023-06-20

题目:Robust conditon-based production and maintenance planning

时间:2023年6月20日 10:00-12:00

地点:机械与动力工程学院 F310会议室

报告人:孙秋壮 助理教授(悉尼大学)

邀请人:刘冉 副教授(工业工程与管理系)

 

报告人简介

悉尼大学数学与统计学院助理教授。研究兴趣包括数据驱动的决策分析、工业统计和可靠性工程。

研究成果在Technometrics、Automatica、IISE Transactions等期刊发表,并获得2023 INFORMS Quality, Statistics, Reliability (QSR) Conference最佳论文奖,2022 INFORMS QSR Industrial Data Challenge Competition冠军等。

 

报告摘要

We study the robust production and maintenance control for a production system subject to degradation. Optimal control of the degradation rate aims to strike a balance between the risk of failure and the production profit. Different from the existing literature that posits a parametric stochastic degradation process, we suppose the degradation increment during a decision epoch lies in an uncertainty set. We formulate a robust optimization model and establish structural properties of the optimal production plan. We derive closed-form solutions that facilitate the real-time implementation of our model on Internet-of-Things (IoT)-enabled systems. Numerical results show that our model significantly outperforms benchmarks in terms of the mean and variance of cost rate when model misspecification presents.

 

 

 

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