Proceedings of the 11th International Conference on Industrial Engineering and Applications

ICIEA 2024, April 17¿19, Hiroshima, Japan
Herausgegeben:Tang, Loon Ching

• Gebundenes Buch

Produktbeschreibung

This book contains the proceedings of the 11th International Conference on Industrial Engineering and Applications (ICIEA 2024), held in Hiroshima, Japan during April 17-19, 2024. The papers presented reflect the state-of-the-art and practice of industrial & systems engineering in various countries worldwide with particular emphasis on Asian countries; which are the emerging economies and the upcoming manufacturing powerhouses of the world. The topics span from advanced manufacturing powered by AI and digital twin technologies to service industries such as supply chain and healthcare services in which both efficiency and human-touches are important. Its content caters to readers who are academics and industrial professionals working in the field of industrial and systems engineering.

Produktdetails

• Lecture Notes in Mechanical Engineering
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-97-6491-4
• Seitenzahl: 404
• Erscheinungstermin: November 2024
• Englisch
• Abmessung: 241mm x 160mm x 28mm
• Gewicht: 713g
• ISBN-13: 9789819764914
• ISBN-10: 9819764912
• Artikelnr.: 71216281

Autorenporträt

Loon Ching TANG is a Professor at the Department of Industrial Systems Engineering & Management (ISEM) in the National University of Singapore (NUS) and Fellow of Academy of Engineering, Singapore. LC Tang obtained his PhD in the field of operations research from Cornell University in 1992. He graduated with a BEng (first class honors) in mechanical engineering and MEng (ISE) from NUS. He has published widely in many leading international journals in the field of Industrial Engineering & Operations Management (IEOM). He has served as the Director of Temasek Defence Systems Institute from 2014 to 2020 and the Head of Department of ISEM from 2008-2015. LC Tang is the Co-Editor-in-Chief of Quality and Reliability Engineering International, an international journal devoted to practical engineering aspects of quality and reliability; and has been on the editorial review board of the Journal of Quality Technology, which is the flagship journal of American Society for Quality, since 2006. He is the main author of the book: Six Sigma: Advanced Tools for Black Belts and Master Black Belts (which was awarded the inaugural Masing Book Prize by International Academy of Quality); and a co-author of Markov-Modulated Processes and Semiregenerative phenomena. In recent years, he has focused his research on systems resilience and is a principal investigator of the Future Resilient systems programme (phase I and II) funded by the National Research foundation. He has frequently been invited as a keynote speaker for international conferences in the field of industrial engineering and reliability.

Inhaltsangabe

Industrial Engineering and Production Automation.- Enhancing Crimp Curve Monitoring in Wiring Harness Production: A Machine Learning Approach with Emphasis on Diverse Data.- Enhancing the Sustainability of Frozen Food Processing: A Production Environment Perspective and Impacts on Quality and Operating Technology.- Identification of Barriers of Digital Transformation for Smart Supply Chain with Industry 4.0 in Crude Palm Oil Industry in Indonesia by Using Literature Review.- Application of the SLP Methodology to Improve Productivity in SMEs Textiles.- Evaluation of Future Enhancement Requirements in Production Control with Regard to the Deployment of Artificial Intelligence.- The Role of Industry 4.0 in Enhancing Quality in the Fast-Moving Consumer Goods (FMCG) Industry.- Productivity Improvement in a Canned Fish Production Company Applying 5s, TQM and 3 Pillars of TPM Tools.- Combination of SKU in POD Assignment in Robotic Mobile Fulfillment Systems.- Improvement on Layout of Water Filter Production Building.- Design of Ethernet Controller with Time Synchronization.- A Fault Diagnosis Model based on IFSS-CK-Means Algorithm for the Bolted Structure.- Virtual Reality Simulation for Fire Emergency: A Case Study at University's Laboratory.