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Journal of Applied
Operational Research

 

ISSN 1735-8523 (Print)
ISSN 1927-0089 (Online)
Frequency: Annually
Commenced Publication 2008
Editor-in-Chief: Kaveh Sheibani, Ph.D.


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editorial board


Editor-in-Chief
  • Kaveh Sheibani, ORLab Analytics, Canada

Associate Editors
  • Jason Atkin, University of Nottingham, UK
  • Peter Dobias, Defence Research and Development Canada (DRDC), Canada

  • Javier Faulin, Public University of Navarra, Spain
  • Motohiro Hagiwara, Meiji University, Japan
  • Patrick Hirsch, University of Natural Resources and Life Sciences, Austria
  • Sigrid Knust, Osnabr�ck University, Germany
  • Gilbert Laporte, HEC Montr�al, Canada
  • Jesper Larsen, Technical University of Denmark, Denmark
  • Yun-Zhu Lin, Chung Yuan Christian University, Taiwan
  • Pongchanun Luangpaiboon, Thammasat University, Thailand
  • Sandra Ngueveu, Laboratory for Analysis and Architecture of Systems, France
  • Massimo Paolucci, University of Genoa, Italy
  • Geoffrey Pond, Royal Military College of Canada, Canada
  • Helena Ramalhinho, Universitat Pompeu Fabra, Spain
  • Punita Saxena, University of Delhi, India
  • Christopher Smith, Air Force Institute of Technology (AFIT), USA
  • Stella Sofianopoulou, University of Piraeus, Greece
  • Norbert Trautmann, University of Bern, Switzerland
  • Greet Vanden Berghe, Katholieke Universiteit Leuven, Belgium
  • Ursula Walther, Berlin School of Economics and Law, Germany

Review Policy

  • All articles undergo an initial editor screening and rigorous peer review by at least two anonymous referees.
  • It is a major objective of the journal to attract and publish practical case studies which illustrate applications of OR to real-life problems.
  • The review of material for publication reflects the Journal's aims.
  • We use plagiarism detection.

 

 

 

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Journal of Applied Operational Research

Air Transport Optimization

ICAOR Consulting

Operational Research and Management Science Letters

Big Data Analytics and Decision Science

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Optimization Methods in Logistics

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Quantitative Methods in Finance

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Scheduling in Healthcare Systems

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