Optimization and Management in Manufacturing Engineering

1. Front Matter

   Pages i-xviii

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2. Information Sharing and Risk Management

   • Xinbao Liu, Jun Pei, Lin Liu, Hao Cheng, Mi Zhou, Panos M. Pardalos

   Pages 1-33

3. Optimal Allocation of Decision-Making Authority in IoT-Based Manufacturing Enterprises

   • Xinbao Liu, Jun Pei, Lin Liu, Hao Cheng, Mi Zhou, Panos M. Pardalos

   Pages 35-61

4. Dynamic Coordinated Supply Chain Scheduling in an IoT Environment

   • Xinbao Liu, Jun Pei, Lin Liu, Hao Cheng, Mi Zhou, Panos M. Pardalos

   Pages 63-90

5. Hybrid Manufacturing Distributed Inventory Management with Sharing Logistics

   • Xinbao Liu, Jun Pei, Lin Liu, Hao Cheng, Mi Zhou, Panos M. Pardalos

   Pages 91-125

6. Cutting Stock Problem with the IoT

   • Xinbao Liu, Jun Pei, Lin Liu, Hao Cheng, Mi Zhou, Panos M. Pardalos

   Pages 127-161

7. Total Quality Management of the Product Life Cycle in an IoT Environment

   • Xinbao Liu, Jun Pei, Lin Liu, Hao Cheng, Mi Zhou, Panos M. Pardalos

   Pages 163-208

8. Life Cycle Assessment in an IoT Environment

   • Xinbao Liu, Jun Pei, Lin Liu, Hao Cheng, Mi Zhou, Panos M. Pardalos

   Pages 209-246

9. Back Matter

   Pages 247-264

   PDF

Problems facing manufacturing clusters that intersect information technology, process management, and optimization within the Internet of Things (IoT) are examined in this book. Recent advances in information technology have transformed the use of resources and data exchange, often leading to management and optimization problems attributatble to technology limitations and strong market competition. This book discusses several problems and concepts which makes significant connections in the areas of information sharing, organization management, resource operations, and performance assessment.

Geared toward practitioners and researchers, this treatment deepens the understanding between resource collaborative management and advanced information technology. Those in manufacturing will utilize the numerous mathematical models and methods offered to solve practical problems related to cutting stock, supply chain scheduling, and inventory management.  Academics and students with a basic knowledge of manufacturing, combinatorics, and linear programming will find that this discussion widens the research area of resource collaborative management and unites the fields of information technology, manufacturing management, and optimization. 

• collaborative problems for manufacturers
• Internet of Things
• manufacture enterprise
• inventory management
• supply chain scheduling
• optimal organizational structure
• neighborhood-searching
• hybrid heuristic
• decision-right distribution method
• decision methods
• routing algorithm
• cutting stock algorithm
• quality management
• manufacturing process management
• practical manufacturing
• IOT

“This is an interesting and timely book that examines the challenges faced by manufacturing systems that integrate information technology, process management, and optimization within the Internet of Things (IoT). It should be required reading for anyone who is interested in new trends in optimization and management in manufacturing engineering that are being driven by the recent advances in the Internet of Things through the ever-expanding role of the internet and big data.” (Ignacio E. Grossmann, Optimization Methods and Software, Vol. 34 (1), 2019)

“This book provides numerous practical examples thatmanagers can use currently or adapt into their plans as their IoT capabilities increase. It also gives academic researchers a solid foundation on which to create additional contributions to this burgeoning area of investigation.” (John R. Birge, Journal of Global Optimization, Vol. 73, 2019)

• School of Management, Hefei University of Technology, Hefei, China

  Xinbao Liu, Jun Pei, Lin Liu, Hao Cheng, Mi Zhou

• Department of Industrial and Systems Engineering, University of Florida, Gainesville, USA

  Panos M. Pardalos

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