Military Logistics

Research Advances and Future Trends

  • Vasileios Zeimpekis
  • George Kaimakamis
  • Nicholas J. Daras

Part of the Operations Research/Computer Science Interfaces Series book series (ORCS, volume 56)

About this book


This book highlights recent advances in the development of effective modeling and solution approaches to enhance the performance of military logistics. It seeks to further research in global defense-related topics, including military operations, governmental operations and security, as well as nation support. Additionally its purpose is to promote the global exchange of information and ideas amongst developers and users of military operations research tools and techniques.

Over the course of its nine chapters, this edited volume addresses significant issues in military logistics including: a) Restructuring processes via OR methods aimed at improving the efficiency and effectiveness of the military logistics, b) Sense-and-Respond logistics prediction and coordination techniques that provide competitive advantage, spanning the full range of military operations across the strategic, operational and tactical levels of war, c) Procurement and auctioning, d) Inventory and stock control theories and applications, e) Military transport and logistical equipment, and, f) Maintenance, repair and overhaul on operational capability in general and equipment availability.

The book aims to bridge the gap between the abundant literature on commercial logistics and its scarce defense and combat counterpart. This collection of useful insights into new trends and research will offer an ideal reference for practitioners and army related personnel interested in integrating scientific rigor to improve logistics management within defense organizations and agencies. Ultimately this book should provide a relevant platform for the latest contributions of operations management, operations research, and computational intelligence towards the enhancement of military logistics.


Defense Logistics Disposition Operations Fleet Management Systems Forecasting Military Logistics Stochastic-Dynamic Optimization

Editors and affiliations

  • Vasileios Zeimpekis
    • 1
  • George Kaimakamis
    • 2
  • Nicholas J. Daras
    • 3
  1. 1.Dept. of Financial & Mgmt EngineeringUniversity of the AegeanChiosGreece
  2. 2.Department of Military ScienceHellenic Army AcademyVariGreece
  3. 3.Department of Military ScienceHellenic Army AcademyVariGreece

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Business and Economics
  • Print ISBN 978-3-319-12074-4
  • Online ISBN 978-3-319-12075-1
  • Series Print ISSN 1387-666X
  • Buy this book on publisher's site
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