2027 9th International Conference on Management Science and Industrial Engineering (MSIE 2027)

Memo

MSIE 2027 information:MSIE 2027 is hosted by Kyung Hee University and Global Trade & Finance Research Institute. It offers a unique interdisciplinary platform that brings together experts from management, industrial engineering, technology, and related fields to explore the transformative impact of artificial intelligence (AI) and smart technologies on industries. Publication:After a peer review process, accepted papers presented in the conference will be published in the International Conference Proceedings.Some excellent papers will be recommended to:Journal of Advanced Management Science (ISSN: 2810-9740 )International Trade, Politics and Development(ISSN: 2586-3932) The MSIE 2019 conference proceedings is archived in the ACM Digital Library.ISBN: 978-1-4503-6264-1The MSIE 2020 conference proceedings is archived in the ACM Digital Library.ISBN: 978-1-4503-7706-5The MSIE 2021 conference proceedings is archived in the ACM Digital Library.ISBN: 978-1-4503-8888-7The MSIE 2022 conference proceedings is archived in the ACM Digital Library.ISBN: 978-1-4503-9581-6The MSIE 2023 conference proceedings is archived in the ACM Digital Library.ISBN: 979-8-4007-0838-1The MSIE 2024 conference proceedings is archived in the ACM Digital Library.ISBN: 979-8-4007-1713-0The MSIE 2025 conference proceedings is archived in the IOS Digital Library.ISBN: 978-1-64368-605-9 Conference proceedings of MSIE 2019-2025 have been indexed by Ei Compendex and Scopus. TopicsTopics of interest include, but are not limited to:1. Interdisciplinary Decision Science and OptimizationHybrid Models for Decision-Making: Combining Operations Research, Behavioral Science, and AIMulti-Criteria Decision Analysis for Complex SystemsComputational and Simulation-Based Approaches in Risk and Crisis ManagementHuman-AI Collaboration for Strategic and Tactical Decision-Making 2. Sustainable and Resilient SystemsCircular Economy and Sustainable Industrial OperationsTransdisciplinary Approaches to Achieving Net-Zero Emissions in Industrial SystemsResilient Supply Chain Networks in the Face of Global DisruptionsSystems Thinking and Integrated Modeling for Sustainability 3. Industry 4.0 and Smart SystemsAI, IoT, and Blockchain for Smart Manufacturing and LogisticsDigital Twins and Cyber-Physical Systems in Industry 4.0Autonomous Systems and Robotics in Industrial ApplicationsEthical and Human-Centric Automation for Future Workplaces 4. Data-Driven and Computational ApproachesBig Data Analytics and Predictive Modeling in Management ScienceMachine Learning and AI for Operations OptimizationQuantum Computing Applications in Management and Industrial SystemsCross-Disciplinary Applications of Data Science in Industrial Innovation 5. Human-Centric Management and EngineeringIntegrating Psychology, Sociology, and Engineering in Workforce OptimizationErgonomics and Human Factors for Productivity and Well-BeingManaging Diversity and Inclusion in AI-Driven WorkplacesThe Future of Work: Hybrid Work Models and Virtual Collaboration 6. Innovation in Supply Chain and LogisticsBlockchain-Driven Supply Chain Transparency and EfficiencyAI-Optimized Logistics in Global and Regional ContextsSustainable Logistics and Green Transportation NetworksRisk Management in Dynamic and Uncertain Supply Chains 7. Education and Knowledge Management in Industrial EngineeringInnovative Pedagogies for Interdisciplinary Engineering EducationCross-Functional Knowledge Management and Organizational LearningAI and Virtual Reality for Workforce Training and Skill Development 8. Ethics, Society, and PolicyEthical Implications of AI and Automation in Industrial and Management PracticesPolicy Frameworks for Sustainable Industrial DevelopmentSocial Responsibility in Industrial Engineering and Management SystemsBridging the Gap Between Policy, Technology, and Society 9. Big Data in Quality and Reliability Engineering and ManagementDeeper Insights into Products, Processes, and SystemsML Algorithms to Identify PatternsLife-cycle ModellingMoving from Reactive Quality Control to Quality 5.0 Proactive ModelInnovations in Service Delivery ModelsAligning Supplier KPIs with Organizational Quality and Reliability Goals 10. Systems Engineering and Simulation TrackCognitive Systems Architecture and DesignEnergy Systems and Sustainability SimulationsIoT-enabled Smart City SystemsSystem Dynamics Modelling for Defence SystemsTrade-off Analysis for Complex System Design Submission Instructions 1). Language: English is the official language of the conference; the paper should be written and presented only in English. 2). Submission Types * Abstract submission for presentation only without publication. * Full paper submission for both presentation and publication. 3). Paper Length: Each paper should be within 8 pages, each registration covers 8 pages, for extra pages, 20 USD per page will be charged. 5). Submission Methods ▪By online submission system: https://www.zmeeting.org/submission/msie2027 ▪By Email: This email address is being protected from spambots. You need JavaScript enabled to view it. Contact MethodsConference Secretary: Ms. Cynthia WongE-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.: +86-021-59561560Office Time: 9:00--18:00, Monday to Friday (GMT+8 Time Zone)For more conference information, please visit the conference website: https://www.msie.org/