Full Name: 2027 9th International Conference on Management Science and Industrial Engineering
Abbreviation: MSIE 2027

2027 9th International Conference on Management Science and Industrial Engineering will be held in Chiang Mai,Thailand during April 28-30, 2027.

Conference Website: https://www.msie.org/


MSIE 2027 information:
MSIE 2027 is hosted by Chulalongkorn University and Faculty of Engineering, Chiang Mai University. 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.

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 Press Ebooks. ISBN: 978-1-64368-605-9
The MSIE 2026 conference proceedings is archived in the IOS Press Ebooks. ISBN: 978-1-64368-674-5
Conference proceedings of MSIE 2019-2025 have been indexed by Ei Compendex and Scopus.

Keynote Speakers
Prof. Maged M. Dessouky, University of Southern California, USA
Prof. Yang XU, Peking University, China

Invited Speakers
Prof.Kasin Ransikarbum, Ubon Ratchathani University,Thailand
Prof. Yasser Dessouky, San Jose State University, USA


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

2). Language: English is the official language of the conference; the paper should be written and presented only in English.
3). Submission Types
* Abstract submission for presentation only without publication.
* Full paper submission for both presentation and publication.
4). 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: msie@acm-sg.org

Contact Method
Conference Secretary: Ms. Cynthia Wong
E-mail: msie@acm-sg.org
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/