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

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: 978-1-4503-6264-1 The MSIE 2020 conference proceedings is archived in the ACM Digital Library.ISBN: 978-1-4503-7706-5 The MSIE 2021 conference proceedings is archived in the ACM Digital Library.ISBN: 978-1-4503-8888-7 The MSIE 2022 conference proceedings is archived in the ACM Digital Library.ISBN: 978-1-4503-9581-6 The MSIE 2023 conference proceedings is archived in the ACM Digital Library.ISBN: 979-8-4007-0838-1 The MSIE 2024 conference proceedings is archived in the ACM Digital Library.ISBN: 979-8-4007-1713-0 The 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. Topics Topics of interest include, but are not limited to: 1. Interdisciplinary Decision Science and Optimization Hybrid Models for Decision-Making: Combining Operations Research, Behavioral Science, and AI Multi-Criteria Decision Analysis for Complex Systems Computational and Simulation-Based Approaches in Risk and Crisis Management Human-AI Collaboration for Strategic and Tactical Decision-Making 2. Sustainable and Resilient Systems Circular Economy and Sustainable Industrial Operations Transdisciplinary Approaches to Achieving Net-Zero Emissions in Industrial Systems Resilient Supply Chain Networks in the Face of Global Disruptions Systems Thinking and Integrated Modeling for Sustainability 3. Industry 4.0 and Smart Systems AI, IoT, and Blockchain for Smart Manufacturing and Logistics Digital Twins and Cyber-Physical Systems in Industry 4.0 Autonomous Systems and Robotics in Industrial Applications Ethical and Human-Centric Automation for Future Workplaces 4. Data-Driven and Computational Approaches Big Data Analytics and Predictive Modeling in Management Science Machine Learning and AI for Operations Optimization Quantum Computing Applications in Management and Industrial Systems Cross-Disciplinary Applications of Data Science in Industrial Innovation 5. Human-Centric Management and Engineering Integrating Psychology, Sociology, and Engineering in Workforce Optimization Ergonomics and Human Factors for Productivity and Well-Being Managing Diversity and Inclusion in AI-Driven Workplaces The Future of Work: Hybrid Work Models and Virtual Collaboration 6. Innovation in Supply Chain and Logistics Blockchain-Driven Supply Chain Transparency and Efficiency AI-Optimized Logistics in Global and Regional Contexts Sustainable Logistics and Green Transportation Networks Risk Management in Dynamic and Uncertain Supply Chains 7. Education and Knowledge Management in Industrial Engineering Innovative Pedagogies for Interdisciplinary Engineering Education Cross-Functional Knowledge Management and Organizational Learning AI and Virtual Reality for Workforce Training and Skill Development 8. Ethics, Society, and Policy Ethical Implications of AI and Automation in Industrial and Management Practices Policy Frameworks for Sustainable Industrial Development Social Responsibility in Industrial Engineering and Management Systems Bridging the Gap Between Policy, Technology, and Society 9. Big Data in Quality and Reliability Engineering and Management Deeper Insights into Products, Processes, and Systems ML Algorithms to Identify Patterns Life-cycle Modelling Moving from Reactive Quality Control to Quality 5.0 Proactive Model Innovations in Service Delivery Models Aligning Supplier KPIs with Organizational Quality and Reliability Goals 10. Systems Engineering and Simulation Track Cognitive Systems Architecture and Design Energy Systems and Sustainability Simulations IoT-enabled Smart City Systems System Dynamics Modelling for Defence Systems Trade-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: [email protected] Contact Methods Conference Secretary: Ms. Cynthia Wong E-mail: [email protected] Tel: +86-021-59561560 Office 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/