Optimization and Management in Manufacturing Engineering: Resource Collaborative Optimization and Management through the Internet of Things

Author:   Xinbao Liu ,  Jun Pei ,  Lin Liu ,  Hao Cheng
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2017
Volume:   126
ISBN:  

9783319878225


Pages:   264
Publication Date:   24 August 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Optimization and Management in Manufacturing Engineering: Resource Collaborative Optimization and Management through the Internet of Things


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Overview

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. 

Full Product Details

Author:   Xinbao Liu ,  Jun Pei ,  Lin Liu ,  Hao Cheng
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2017
Volume:   126
Weight:   0.454kg
ISBN:  

9783319878225


ISBN 10:   3319878220
Pages:   264
Publication Date:   24 August 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Information Sharing and Risk Management.- 2. Optimal Allocation of Decision-Making Authority in IoT-based Manufacturing Enterprises.- 3. Dynamic Coordinated Supply Chain Scheduling in an IoT Environment.- 4. Hybrid Manufacturing Distributed Inventory Management with Sharing Logistics.- 5. Cutting stock problem with the IoT.- 6. Total Quality Management of the Product Life Cycle in an IoT Environment.- 7.  Life Cycle Assessment in an IoT Environment. –References.

Reviews

This book provides numerous practical examples that managers 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)


“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)


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 that managers 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)


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