This book collects selected and reviewed papers from International Conference for Production Research Asia Pacific Region 2025 held in Hong Kong SAR on 18 to 20 June 2025. The book features state-of-the-art studies on production research in the globe with the theme of “Smart Production for Sustainability”. The selected works can help promote development of sustainability in manufacturing and operational efficiency. Researchers and engineers in the field of industrial and systems engineering can benefit from the book.

About the Author

Carman K. M. LEE received the B.Eng. degree in manufacturing engineering and Ph.D. degree in industrial and systems engineering from The Hong Kong Polytechnic University (PolyU), Hong Kong, China, in 2000 and 2004, respectively. She is currently an Associate Professor with the Department of Industrial and Systems Engineering, PolyU, where she is also the Program Leader of BSc (Hons.) in Enterprise Engineering with Management/Engineering Management with Data Analytics and the Lab-in-Charge of the Cyber Physical Systems Laboratory. Dr. Lee has published more than 130 articles in various international journals and seminars. Her research interests include logistics and supply chain management, the Industrial Internet of Things (IIoT), cyber-physical systems, data analytics, and swam intelligence optimization. Dr. Lee was awarded the Silver Medal at the 47th International Exhibition of Inventions of Geneva in 2019 and the Outstanding Paper Award of Emerald Network Awards in 2019.

Paul Y. P. TSANG is currently a Lecturer at the Department of Industrial and Systems Engineering of The Hong Kong Polytechnic University. He received his BSc (Hons) in Logistics Engineering Management and PhD in the Department of Industrial and Systems Engineering from The Hong Kong Polytechnic University in 2015 and 2020, respectively. His current research areas cover artificial intelligence for decision-making, industry 4.0 technologies, and cold chain e-fulfilment. Dr Tsang received the Best Paper Award in the International Conference on Decision Science & Management (ICDSM) 2024, Outstanding Paper Award in IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2023, and 2019 Highly Commended Award from Emerald Literati Awards.

Jack C. H. WU received the B.Eng. degree in industrial and systems engineering and the Ph.D. degree in mechanical and manufacturing engineering from The Hong Kong Polytechnic University, Hong Kong, in 2006 and 2011, respectively. From 2011 to 2017, he was a project staff with the RFID Solutions Laboratory. Since 2021, he has been an Associate Professor with the Department of Supply Chain and Information Management, The Hang Seng University of Hong Kong, Hong Kong. He is the author of 4 books and more than 80 articles. His research interests include industrial Internet of things and applications, digital transformation and innovation, information systems strategy, quality management, and healthcare service management. He is the Managing Editor for the journal Enterprise Information Systems, and an Associate Editor for the Journal of Global Information Management and Journal of Organizational and End User Computing. Dr. Wu was a recipient of the Big Data Analysis Award from the China and Hong Kong Enterprise Market Development Association in 2014, the Best Reviewer Award of the journal Internet Research in 2016, and the Publons Top Peer-Reviewer Award (Computer Science) in 2019. He is PMP-certified, SSBB-certified, a member of PMI, and a senior member of HKSQ.

Dicky K. L. KEUNG obtains his PhD and BSc degree in the Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University. Dr. Keung’s research focuses on advancing the fields of industrial and logistics engineering, particularly in warehouse and manufacturing management within Robotic Mobile Fulfillment Systems. His work integrates cutting-edge technologies, including Cyber-Physical Systems (CPS) and the Internet-of-Things (IoT), to enhance operational efficiency and scalability in logistics and manufacturing environments. His research employs advanced methodologies, such as multivariate statistical analysis, to analyze and optimize complex systems, resulting in practical solutions that bridge the gap between technology and real-world industrial applications.

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