© 2017

Optimization and Control for Systems in the Big-Data Era

Theory and Applications

  • Tsan-Ming Choi
  • Jianjun Gao
  • James H. Lambert
  • Chi-Kong Ng
  • Jun Wang
  • Focuses on big data in optimal control and systems engineering and how big data can provide new opportunities to improve decision making

  • Offers a well-balanced set of chapters that span theoretical results and application case studies

  • Chapters are written by leading researchers in their respective fields


Part of the International Series in Operations Research & Management Science book series (ISOR, volume 252)

Table of contents

  1. Front Matter
    Pages i-x
  2. Tsan-Ming Choi, Jianjun Gao, James H. Lambert, Chi-Kong Ng, Jun Wang
    Pages 1-6
  3. Reviews on Optimization and Control Theories

  4. Reviews on Optimization and Control Applications

  5. Financial Optimization Analysis

  6. Operations Analysis

    1. Front Matter
      Pages 243-243
    2. Jun Wang, Xiaoxia Zhuang, Baiyi Wu
      Pages 245-251
  7. Concluding Remarks

    1. Front Matter
      Pages 269-269

About this book


This book focuses on optimal control and systems engineering in the big data era. It examines the scientific innovations in optimization, control and resilience management that can be applied to further success. In both business operations and engineering applications, there are huge amounts of data that can overwhelm computing resources of large-scale systems. This “big data” provides new opportunities to improve decision making and addresses risk for individuals as well in organizations. While utilizing data smartly can enhance decision making, how to use and incorporate data into the decision making framework remains a challenging topic. Ultimately the chapters in this book present new models and frameworks to help overcome this obstacle.

Optimization and Control for Systems in the Big-Data Era: Theory and Applications is divided into five parts. Part I offers reviews on optimization and control theories, and Part II examines the optimization and control applications. Part III provides novel insights and new findings in the area of financial optimization analysis. The chapters in Part IV deal with operations analysis, covering flow-shop operations and quick response systems. The book concludes with final remarks and a look to the future of big data related optimization and control problems.


Big Data Data-Driven Optimal Control Applications Optimal Control Optimization Risk Analysis Systems Engineering Systems Reliability Systems Resilience

Editors and affiliations

  • Tsan-Ming Choi
    • 1
  • Jianjun Gao
    • 2
  • James H. Lambert
    • 3
  • Chi-Kong Ng
    • 4
  • Jun Wang
    • 5
  1. 1.Institute of Textiles and ClothingThe Hong Kong Polytechnic UniversityHung Hom, KowloonHong Kong
  2. 2.School of Information Management and EngineeringShanghai University of Finance and EconomicsShanghaiChina
  3. 3.Department of Systems and Information EngineeringUniversity of VirginiaCharlottesvilleUSA
  4. 4.Department of Systems Engineering and Engineering ManagementThe Chinese University of Hong KongShatin, N.T.Hong Kong
  5. 5.Department of Management Science and Engineering, Business SchoolQingdao UniversityShandongChina

About the editors

Tsan-Ming Choi (Jason) is currently Professor of Fashion Business at The Hong Kong Polytechnic University. Over the past ten years, he has actively participated in a variety of research projects on supply chain management and applied optimization for fashion business operations. He has authored/edited fifteen research handbooks. He has published extensively in leading journals such as Annals of Operations Research, Automatica, Decision Support Systems, European Journal of Operational Research, IEEE Transactions on Automatic Control, IEEE Transactions on Engineering Management, IEEE Transactions on Industrial Informatics, Naval Research Logistics, Production and Operations Management, Service Science, Transportation Research – Part E, etc. He has consulted several listed companies on supply chain management related topics. He is currently a senior editor of Production and Operations Management, an associate editor of Asia-Pacific Journal of Operational Research, Decision Support Systems, IEEE Transactions on Systems, Man and Cybernetics – Systems, Information Sciences, International Transactions in Operational Research, and Transportation Research – Part E. In the past, he served as an executive committee member/officer of professional organizations such as IEEE-SMC(HK) and POMS(HK). He is the recipient of the President's Award for Excellent Achievements of The Hong Kong Polytechnic University. He received the Best Associate Editor Award of IEEE Systems, Man, and Cybernetics Society in two consecutive years (2013 and 2014).

Bibliographic information

  • Book Title Optimization and Control for Systems in the Big-Data Era
  • Book Subtitle Theory and Applications
  • Editors Tsan-Ming Choi
    Jianjun Gao
    James H. Lambert
    Chi-Kong Ng
    Jun Wang
  • Series Title International Series in Operations Research & Management Science
  • Series Abbreviated Title Int.Ser.Operations Res.
  • DOI
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Business and Management Business and Management (R0)
  • Hardcover ISBN 978-3-319-53516-6
  • Softcover ISBN 978-3-319-85171-6
  • eBook ISBN 978-3-319-53518-0
  • Series ISSN 0884-8289
  • Series E-ISSN 2214-7934
  • Edition Number 1
  • Number of Pages X, 280
  • Number of Illustrations 4 b/w illustrations, 30 illustrations in colour
  • Topics Operations Research/Decision Theory
    Information Systems Applications (incl. Internet)
  • Buy this book on publisher's site
Industry Sectors
Consumer Packaged Goods
Finance, Business & Banking
Energy, Utilities & Environment