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Full Description
This publication showcases the 7th Asia-Pacific Conference on Manufacturing System and 6th International Manufacturing Engineering Conference (iMEC-APCOMS 2024) proceedings. It emphasizes the UN Sustainable Development Goals in recent developments and significant challenges in manufacturing industry, along with the emergence of intelligent manufacturing engineering and technology, which are critical for adopting Industry 4.0. The book discusses both traditional and advanced approaches used in various intelligent manufacturing applications. Readers can expect to gain a comprehensive understanding of current trends, challenges, solutions, and mitigating factors from this publication.
Contents
chapter 1. Enhancing Machining Efficiency: Exploring the Optimal MQL parameters for Turning AA6061-T6 with the Taguchi Method.- chapter 2. The Support Vector Regression Method with The Grid Search Algorithm in Forecasting Sales of Milk Product.- chapter 3. Knowledge Management Strategic and Implementations for Sustainable Tourism Industry: Evaluating Stakeholder Engagement and Organizational Performance Using an Interpretative Structural Modelling (ISM).- chapter 4. An Aggregate Production Planning Model under Carbon Trading Constraints for Sustainable Operations .- chapter 5. Supersonic Separator Nozzle: A Review.- chapter 6. Prioritized Performance of Circular Economy in Batik SMEs Performance: Interpretive Structural Modeling Approach.- chapter 7. Effect of Correlated Color Temperature on Human Attention as a Measure of Power Spectral Density Using EEG.- chapter 8. Design of Printing Tools for Food Packaging Made from Rice Husk Using the Quality Function Deployment Method.- chapter 9. Process Signature in Machining of 316L Stainless Steel Under Dry and Flood Condition.- chapter 10. Human Cyber Physical System in Manufacturing 4.0: An Application for Intelligent SCADA-Based Manufacturing.- chapter 11. A Hybridized Artificial Bee Colony and Electric Eel Foraging Algorithm for Constrained Engineering Problem.- chapter 12. Enhancing Experiential Learning in Manufacturing Engineering Technology Courses: A Case Study of TVET Education in Malaysia Technical University Network (MTUN).- chapter 13. Classification of Anabas testudineus and Oreochromis niloticus Using Deep Learning.- chapter 14. Enhancing Performance of Batik SMEs through Cleaner Production Adoption: Insights from Clustering Algorithm Analysis.- chapter 15. A Multi-Echelon Fish Supply Chain Model with Waste Recycling.- etc.
