Overview
- Broadens understanding of manufacturing clusters in the environment of Internet of Things
- Equips readers to handle complex models, algorithms, and methods used to process a high volume of data
- Offers solutions to traditional resource collaborative optimization and management problems
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 126)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
- 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
About this book
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.Reviews
“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)
Authors and Affiliations
Bibliographic Information
Book Title: Optimization and Management in Manufacturing Engineering
Book Subtitle: Resource Collaborative Optimization and Management through the Internet of Things
Authors: Xinbao Liu, Jun Pei, Lin Liu, Hao Cheng, Mi Zhou, Panos M. Pardalos
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-3-319-64568-1
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2017
Hardcover ISBN: 978-3-319-64567-4Published: 13 October 2017
Softcover ISBN: 978-3-319-87822-5Published: 24 August 2018
eBook ISBN: 978-3-319-64568-1Published: 02 October 2017
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XVIII, 264
Number of Illustrations: 8 b/w illustrations, 6 illustrations in colour
Topics: Operations Research, Management Science, Supply Chain Management, Mathematical Modeling and Industrial Mathematics, Algorithms