Special Session VI

Advances in Warranty and Maintenance Service: Modeling and Analysis for Decision-Making
保修与维修服务前沿:决策建模与分析

This special session aims to bring together leading researchers and practitioners in the field of service engineering and management to discuss innovative methodologies and practical applications pertaining to warranties and maintenance services. The focus will be on the critical aspects of modeling and analysis, which are essential for strategic decision-making in warranty management and maintenance services. This session will explore various modeling and analysis approaches, including predictive analytics, assessment models, and decision-support systems, which enhance the efficiency and effectiveness of after-sales services and warranty policies.

本专题旨在汇聚服务工程与管理领域的顶尖研究人员和实践者,共同探讨与保修和维修服务相关的创新方法和实际应用。专题重点关注建模和分析的关键方面,这对保修管理和维护服务的战略决策至关重要。专题将探讨各种建模和分析方法,包括预测分析、评估模型和决策支持系统,以提高售后服务和保修政策的效率和有效性。

Topics of interest for submission include, but not limited to:
投稿主题包括但不限于


Chair: Qiuzhuang Sun, The University of Sydney, Australia

Xin Wang received the Ph.D. degree in Industrial Systems Engineering and Management from National University of Singapore in 2018. She is currently an Associate Professor with the Sino-US Global Logistics Institute, Antai College of Economics and Management, Shanghai Jiao Tong University. Her research interests include reliability engineering, warranty analysis and management, prognostic and health management. (E-Mail: wang.xin@sjtu.edu.cn)

Chair: Anshu Dai, Tianjin University of Finance and Economics, China

Anshu Dai received the Ph.D. degree in Management Science and Engineering from Tianjin university in 2018. She is currently an Associate Professor with College of Management Science and Engineering, Tianjin University of Finance and Economics. Her research interests include warranty analytics, operations and maintenance management and reliability engineering.  (E-Mail: anshudai@tjufe.edu.cn)

Chair: Xingchen Liu, Hong Kong Polytechnic University, HK SAR, China

Xingchen Liu received the Ph.D. degree in Industrial Systems Engineering and Management from the National University of Singapore, Singapore, in 2021. He is currently a Postdoctoral Fellow with the Center for Advances in Reliability and Safety (CAiRS), Hong Kong Polytechnic University, Hong Kong SAR. His research interests include machine learning, process monitoring, reliability engineering, prognostics and health management. (E-Mail: xingchenliu@u.nus.edu)


 Submission Portal

If you are interested in the special session, please submit your paper or abstract here
https://www.zmeeting.org/submission/srse2024 and choose special session 6.

For any questions, please mail the organizers or conference secretary srse@sciei.org.

 

 

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