Proceedings of Industrial Engineering and Management : International Conference on Smart Manufacturing, Industrial & Logistics Engineering and Asia-Pacific Industrial Engineering and Management Systems Conference (Lecture Notes in Mechanical Engineer

  • 予約

Proceedings of Industrial Engineering and Management : International Conference on Smart Manufacturing, Industrial & Logistics Engineering and Asia-Pacific Industrial Engineering and Management Systems Conference (Lecture Notes in Mechanical Engineer

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  • 製本 Hardcover:ハードカバー版/ページ数 990 p.
  • 言語 ENG
  • 商品コード 9789819202126

Full Description

This book is a compilation of selected papers from the 25th Asia-Pacific Industrial Engineering and Management Systems Conference (APIEMS2025) & the 4th International Conference on Smart Manufacturing, Industrial & Logistics Engineering (SMILE2025). The book focuses on the recent theoretical and methodological developments, significant technical applications, case studies and survey results in the areas of Industrial Engineering, Artificial Intelligence, Smart Manufacturing, Ergonomic/Human Factor, Production and Operation Management, Sustainability Development, Big data analytics & data mining, modelling and decision analysis, Internet of Things, green supply chains and intelligent logistics, and Circular Economy. The contents make valuable contributions to academic researchers, engineers in industrial engineering, smart manufacturing, and logistics. As well, readers will encounter new ideas to promote the application and development of Artificial Intelligence.

Contents

Study of SPC control charts for non-homogeneous continuous production: a case study of the filament making process in a cigarette factory.- Application of Six Sigma DMAIC to Reduce Inventory Cost in Small Enterprise: A Dried Food Case Study.- Data-Driven Modeling of Multi-Factory Production Systems with Tran, Product-mix and Re-entrant flows.- Metal Processing Scheduling Problem Using Semi-Automatic Machines.- Fine-Tuning Large Language Models for Algorithm Selection in the Flexible Job Shop Scheduling Problem.

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