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© 2017

Optimization and Management in Manufacturing Engineering

Resource Collaborative Optimization and Management through the Internet of Things

Benefits

  • 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

Book

Part of the Springer Optimization and Its Applications book series (SOIA, volume 126)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Xinbao Liu, Jun Pei, Lin Liu, Hao Cheng, Mi Zhou, Panos M. Pardalos
    Pages 1-33
  3. Xinbao Liu, Jun Pei, Lin Liu, Hao Cheng, Mi Zhou, Panos M. Pardalos
    Pages 35-61
  4. Xinbao Liu, Jun Pei, Lin Liu, Hao Cheng, Mi Zhou, Panos M. Pardalos
    Pages 63-90
  5. Xinbao Liu, Jun Pei, Lin Liu, Hao Cheng, Mi Zhou, Panos M. Pardalos
    Pages 91-125
  6. Xinbao Liu, Jun Pei, Lin Liu, Hao Cheng, Mi Zhou, Panos M. Pardalos
    Pages 127-161
  7. Xinbao Liu, Jun Pei, Lin Liu, Hao Cheng, Mi Zhou, Panos M. Pardalos
    Pages 163-208
  8. Xinbao Liu, Jun Pei, Lin Liu, Hao Cheng, Mi Zhou, Panos M. Pardalos
    Pages 209-246
  9. Back Matter
    Pages 247-264

About this book

Introduction

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 attributable 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. 

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

Authors and affiliations

  1. 1.School of ManagementHefei University of TechnologyHefeiChina
  2. 2.School of ManagementHefei University of TechnologyHefeiChina
  3. 3.School of ManagementHefei University of TechnologyHefeiChina
  4. 4.School of ManagementHefei University of TechnologyHefeiChina
  5. 5.School of ManagementHefei University of TechnologyHefeiChina
  6. 6.Department of Industrial and Systems EngineeringUniversity of FloridaGainesvilleUSA

Bibliographic information

Industry Sectors
Engineering
Finance, Business & Banking

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 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)