Advanced Reliability Modeling and Intelligent
Operations Management
可靠性建模与智能运维管理前沿专题会议
We are delighted to announce the organization of a special
session on "Advanced Reliability Modeling and Intelligent Operations Management"
as part of the upcoming SRSE 2024. This special session aims to provide a forum
for researchers, practitioners, and industry experts to present and discuss the
latest advancements, challenges, and best practices in the fields of reliability
modeling and intelligent operations management, with a focus on leveraging
advanced methodologies and technologies to enhance the performance, resilience,
and cost-efficiency of complex engineering systems.
Reliability modeling plays a pivotal role in understanding the behavior and
performance of modern engineering systems, which are characterized by increasing
complexity, interdependencies, and uncertainty. There is a pressing need for the
development of advanced reliability modeling techniques that can effectively
address the multifaceted nature of contemporary engineering systems, including
multi-state and dynamic systems, as well as those exhibiting non-linear and
time-varying behaviors. Moreover, intelligent operations management has emerged
as a critical enabler for optimizing the performance, maintenance, and overall
lifecycle management of complex engineering systems. By harnessing the power of
advanced data analytics, machine learning, and decision support systems,
intelligent operations management facilitates proactive condition monitoring,
predictive maintenance, optimization of operational strategies, and real-time
decision-making, thereby fostering enhanced system resilience, reduced downtime,
and improved resource utilization.
我们非常荣幸能在SRSE
2024国际会议上组织主题为“可靠性建模与智能运维管理前沿”的专题研讨会。该研讨会旨在为研究人员、实践者和工业专家提供论坛，讨论可靠性建模和智能运维管理领域的最新进展、挑战和最佳实践，重点是利用先进的方法和技术来提高复杂工程系统的性能、韧性和成本效益。
现代工程系统具有高度复杂、相互依赖和随机不确定等特点，可靠性建模在刻画现代工程系统的行为和性能方面发挥着关键作用。为有效应对工程系统的复杂故障机理与运行风险，迫切需要提出先进的可靠性建模技术与风险评估方法。此外，智能运维管理已经成为优化复杂工程系统性能、维护和整个生命周期管理的关键手段。通过利用先进的数据分析、机器学习和决策支持系统，智能运维管理促进了积极的状态监测、预测性维护等策略优化和实时决策，从而增强了系统的韧性、减少了停机时间，并提高了资源利用率。
The special session on "Advanced Reliability Modeling and Intelligent Operations Management" welcomes contributions that span a wide spectrum of topics, including but not limited to:
本次“先进可靠性建模与智能运维管理”专题涵盖主题广泛，包括但不限于：
● Advanced modeling and simulation techniques for
capturing the dynamic and multi-state behavior of complex engineering systems. l
复杂工程系统多状态行为的可靠性建模和仿真技术。
● Integration of data-driven approaches, machine learning, and artificial
intelligence in reliability modeling and operations management.
基于数据驱动、机器学习和人工智能的可靠性建模和运维管理。
● Prognostics and health management methodologies for predicting and mitigating
potential failures in engineering systems.
用于预测和缓解工程系统潜在故障的预测性健康管理方法。
● Decision support systems and optimization algorithms for intelligent
maintenance and resource allocation.
面向智能维护和资源分配的决策支持系统和优化算法。
● Case studies and practical applications demonstrating the effectiveness of
advanced reliability modeling and intelligent operations management in diverse
industrial sectors.
先进可靠性建模和智能运维管理在各种工业领域中的案例研究和实际应用。
We invite researchers, academics, industry practitioners, and professionals with an interest in reliability modeling and operations management to submit their original contributions to this special session. We believe that this forum will serve as an invaluable platform for sharing insights, fostering collaborations, and advancing the state-of-the-art in these critical domains.
我们诚挚邀请对可靠性建模和运维管理感兴趣的研究人员、学者、工业实践者和专业人士提交他们的原创研究至此专题。我们相信，这个论坛将成为分享见解、促进合作和推进这些关键领域的最新技术的宝贵平台。
Chair: Qingan Qiu, Beijing Institute of Technology, China
Qingan Qiu is an associate professor at the School of Management, Beijing Institute of Technology, and a supervisor for master's and doctoral students. He obtained his joint Ph.D. from the University of Pittsburgh and was selected for the "Top 2% Global Scientists". His main research areas include stochastic modeling and optimization theory, system reliability modeling, maintenance decision optimization, etc. He has published/accepted over 70 SCI papers in flagship journals in the field of reliability. His papers have been cited more than 2100 times on Google Scholar, with an H-index of 28. Eight of his papers have been selected as highly cited papers in ESI, and two papers have been selected as hot papers in ESI. He has successively presided over/participated in more than 10 research projects such as the National Natural Science Foundation of China, Postdoctoral Science Foundation, and technical foundation. He has been granted multiple national patents. He also serves as a member of the Reliability Engineering Branch of the Chinese Society for System Engineering, a member of the Industrial Engineering Branch of the Chinese Association for Law and Economics Mathematics Research, and a youth member of the Reliability Branch of the Operations Research Society of China. He is a junior editorial board member of the journal "Industrial Engineering", a junior editorial board member of the international journal "Complex Engineering System," a guest editor of several SCI journals and serves as a program committee member of international academic conferences.
邱青安，北京理工大学管理与经济学院预聘副教授/特别研究员、硕士生导师、博士生导师，美国匹兹堡大学联合培养博士，入选斯坦福“全球前2%顶尖科学家榜单”。主要研究领域包括随机建模与优化理论、系统可靠性建模、运维决策优化等，在可靠性领域旗舰期刊和主流期刊发表/录用SCI论文70余篇，其中FMS-A类, ABS三星/四星期刊论文近40篇，论文累计谷歌学术引用2100余次，H指数为28，8篇论文入选ESI高被引论文，2篇论文入选ESI热点论文。先后主持/参与国家自然科学基金(青年项目、面上项目、重点项目)，博士后科学基金，技术基础等科研项目10余项。授权国家专利多项。兼任中国系统工程学会可靠性专委会委员，中国优选法统筹法与经济数学研究会工业工程分会理事，中国运筹学会可靠性分会青年委员等，担任国内工业工程领域旗舰期刊《工业工程》青年编委、国际期刊《Complex Engineering System》青年编委、《Axioms》等多份SCI期刊的客座编辑、担任多个国内外学术会议程序委员会委员并做特邀报告。
Co-chair: Li Yang, Beihang University, China
Yang Li is currently a full-time associate professor at the School of Reliability and Systems Engineering, Beihang University. Prior to this, he was a postdoctoral researcher at the Department of Mechanical and Industrial Engineering, University of Toronto. His main research areas include intelligent maintenance decision optimization, system reliability modeling, analysis, and verification and evaluation, equipment health prediction and management, etc. He has published over 80 papers in core journals in the fields of reliability and industrial engineering, including 55 SCI papers. His papers have been cited more than 1,900 times on Google Scholar, with an H index of 23, and 6 papers have been selected as ESI high-cited papers, 1 paper selected as an ESI hot paper. He has filed and been granted more than 10 national patents for invention, and has published 2 monographs. He has led more than 10 research projects, including the National Natural Science Foundation of China, the Technological Foundation of the Ministry of Industry and Information Technology and enterprise-sponsored projects. His research results have won the first prize for scientific and technological progress of the Ministry of Industry and Information Technology. He is currently a member of the board of directors of the Reliability Engineering Branch of the Chinese Society for System Engineering, a member of the board of directors of the Reliability Engineering Branch of the Chinese Society for Field Statistics, a young committee member of the Reliability Branch of the Operations Research Society of China. He is also an editor of the international journals "International Journal of Reliability, Quality and Safety Engineering" and "International Journal of Data Analysis and Strategies", a young editor of the international journal "Complex Engineering Systems", and a guest editor of several international journals and a session chair of several international conferences.
杨力，北京航空航天大学可靠性与系统工程学院长聘副教授，多伦多大学机械与工业工程系博士后。主要研究领域包括智能运维决策优化、系统可靠性建模分析与验证评价、设备健康预测与管理等。在可靠性和工业工程等领域核心期刊发表论文80余篇，其中SCI55篇，FMS A类和ABS3/4星论文30余篇。论文累计谷歌引用1900余次，H指数为23，6篇论文入选ESI高被引论文，1篇论文入选ESI热点论文。受理和授权国家发明专利10余项，出版专著2部。先后主持国家自然科学基金、工信部技术基础、装备预先研究基金、企业委托课题等10余项课题，参与了国家自然科学基金重点、国家重点研发等项目，研究成果获工信部科技进步一等奖1项。现担任中国系统工程学会系统可靠性工程分会理事、中国现场统计研究会可靠性工程分会理事、中国运筹学会可靠性分会青年委员等，担任国际期刊《International Journal of Reliability, Quality and Safety Engineering》、《International Journal of Data Analysis and Strategies》编委，《Complex Engineering Systems》国际期刊青年编委，同时担任多份国际期刊的客座编辑以及国际会议的分会场主席。
Co-chair: Xiaojun Liang, Hulun Buir College, China
Xiaojun Liang is an associate professor at School of Mathematics and Physics, Hulun Buir College，Inner Mongolia and has engaged in Post-Doctor Research Station, Qingdao University for a postdoctoral research in Management Science and Engineering. He successively receives the Master degree and Ph.D. degree in applied mathematics and pure mathematics from Sichuan Normal University, Chengdu，respectively. He has long been engaged in teaching tasks for core courses such as mathematical analysis and stochastic process. His recent research interests include stochastic system modeling and optimization, system reliability analysis, optimization theory and analysis, system health prediction and management, etc. He has published/accepted more than 10 papers in the fields of reliability, industrial engineering, and stochastic operations research. He has presided over or participated in 5 national natural science foundation projects, provincial projects, and has been granted 3 national patents/software copyrights. He serves as a reviewer/special reviewer for several journals in the field of reliability, such as "Reliability Engineering & System Safety" and "Quality Technology & Quantitative Management."
梁晓军 呼伦贝尔学院数理学院副教授并在青岛大学博士后流动站从事管理科学与工程方向的博士后研究。先后获得四川师范大学理学硕士和理学博士。长期担任数学分析、随机过程等核心主干课课程的教学任务。最近主要研究领域包括随机系统建模与优化、系统可靠性分析、最优化理论与分析、系统健康预测与管理等。在可靠性、工业工程、随机运筹学等领域发表/录用论文10余篇。先后主持、参与国家自然科学基金、省级课题5项，授权国家专利/软件著作权3项，担任可靠性领域期刊《Reliability Engineering & System Safety》、《Quality Technology & Quantitative Management》等多个杂志的审稿人/特约审稿人。
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 1.
For any questions, please mail the organizers or conference secretary srse@sciei.org.
© SRSE 2019-2024 | Hangzhou, Zhejiang, China | Email: srse@sciei.org