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Disruptive Technologies and Optimization Towards Industry 4.0 Logistics

  • Book
  • Jul 2024

Overview

Editors:
  1. Athanasia Karakitsiou

    1. Department of Business Administration, International Hellenic University, Serres, Greece

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  2. Athanasios Migdalas

    1. Department of Social Sciences, Technology and Arts, Lulea University of Technology, Lulea, Sweden

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  3. Panos M. Pardalos

    1. Industrial and Systems Engineering, University of Florida, Gainesville, USA

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  • Develops resource collaborative management approaches within information and communication technology
  • Investigates collaborative optimization problems within an industrial internet environment
  • Examines scheduling resource optimization problems from new perspectives

Part of the book series: Springer Optimization and Its Applications (SOIA, volume 214)

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Keywords

  • meta-heuristic optimization methods
  • Industrial Internet
  • Robust optimization approaches
  • supply chain management
  • optimization problems
  • Smart Manufacturing
  • Logistics
  • Production Engineering
  • effective resource management

About this book

This contributed volume guides researchers and practitioners on resource collaborative management of supply chains and manufacturing enterprises within an industrial internet technological environment. The book comprises 10 chapters that cover two major topics in the subject of logistics 4.0, namely the utilization of both disruptive technologies and optimization techniques in smart logistic management. With global research on the book's topic expanding rapidly across various directions and disciplines, it provides a structured framework for international experts to showcase outstanding work and unique approaches. Researchers and students will find the comprehensive outline on collaborative optimization and management of smart manufacturing and production, warehousing, inventory, logistics, transportation, integrated supply chain, and supply network within the industrial internet platform a beneficial guide to understanding current and future practical problems that arise in manufacturing and supply chain management. 

Editors and Affiliations

  • Department of Business Administration, International Hellenic University, Serres, Greece

    Athanasia Karakitsiou

  • Department of Social Sciences, Technology and Arts, Lulea University of Technology, Lulea, Sweden

    Athanasios Migdalas

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

    Panos M. Pardalos

About the editors

Athanasia Karakitsiou is an Associate Professor at the Department of Business Administration of the International Hellenic University, Greece. She holds a PhD in supply chain optimization from the Department of Production Engineering of the Technical University of Crete, Greece.  Shee has published in the field of Operations Research and Optimization in international journals such as  Annals of  Operational Research,  Operational Research and others.  She has written and edited three  books. Her current research interest is focused on the use of optimization methods to problems in logistics and supply chain management. 

 

Athanasios Migdalas is professor in Industrial Logistics at the University of Technology, Sweden, Department of Business Administration and Industrial Engineering,  Quality Technology and Logistics. He has published in the field of Operations Research and Optimization in journals such as Journal of Global Optimization, Mathematical Programming, European Journal of Operational Research, Computational Optimization and Applications, Journal of Combinatorial Optimization , Operational Research,  Parallel Computing, Energy Systems, Applied Soft Computing  and others. His current research interest is focused on the use of combinatorial optimization methods and nature inspired algorithms to problems in logistics and supply chain management. He has written and edited more than ten books and is currently in the editorial board of four journal in the field. He has previously served at several universities in Denmark, Sweden and Greece.

 

Panos  Pardalos is an Emeritus Distinguished Professor  in the Department of Industrial and Systems Engineering at the University of Florida, and an affiliated faculty of Biomedical Engineering and Computer Science & Information & Engineering departments. He is a world-renowned leader in Global Optimization, Mathematical Modeling, Energy Systems, Financial applications, and Data Sciences. He is a Fellow of AAAS, AAIA, AIMBE, EUROPT, and INFORMS and was awarded the 2013 Constantin Caratheodory Prize of the International Society of Global Optimization. In addition, Panos  Pardalos has been awarded the 2013 EURO Gold Medal prize bestowed by the Association for European Operational Research Societies.  Panos Pardalos has been awarded a prestigious Humboldt Research Award (2018-2019). Panos Pardalos is also a Member of several  Academies of Sciences, and he holds several honorary PhD degrees and affiliations. He is the Founding Editor of Optimization Letters, Energy Systems, and Co-Founder of the International Journal of Global Optimization, Computational Management Science, and Springer Nature Operations Research Forum. He has published over 600 journal papers, and edited/authored over 200 books. He is one of the most cited authors and has graduated 71 PhD students so far.  

Bibliographic Information

  • Book Title: Disruptive Technologies and Optimization Towards Industry 4.0 Logistics

  • Editors: Athanasia Karakitsiou, Athanasios Migdalas, Panos M. Pardalos

  • Series Title: Springer Optimization and Its Applications

  • Publisher: Springer Cham

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Hardcover ISBN: 978-3-031-58918-8Due: 21 July 2024

  • Softcover ISBN: 978-3-031-58921-8Due: 21 July 2024

  • eBook ISBN: 978-3-031-58919-5Due: 21 July 2024

  • Series ISSN: 1931-6828

  • Series E-ISSN: 1931-6836

  • Edition Number: 1

  • Number of Pages: V, 245

  • Number of Illustrations: 23 b/w illustrations, 38 illustrations in colour

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