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operational research and

management science Letters

 

New Journal, 2016
Frequency: Annually
Commenced Publication 2016
Editor-in-Chief: Kaveh Sheibani, Ph.D.

 

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aims and scope


ORMS Letters (ORMSL) publishes concise articles or extended abstracts in all aspects of operational research and management science (OR/MS), including theory and applications. ORMSL is an invaluable resource for operational researchers, management consultants, academics, and practitioners involved in OR/MS related problems. The material published is of high quality and relevance, written in a manner which makes it accessible to the entire readership.

  • Applications: Agriculture & Fisheries; Business, Finance & Economy; Defense & Military; Education; Energy, Natural Resources & Environment; Government; Health & Social Services; Insurance & Tax; Management; Manufacturing & Services; Marketing; Sports; Telecommunications; Transportation, Traffic & Logistics.
  • Techniques: Accounting; Allocation; Artificial intelligence; Combinatorics; Cybernetics; Data mining; Decision analysis; Expert systems; Forecasting; Fuzzy sets; Game theory; Heuristics; Information; Inventory control; Integer programming; Linear programming; Location analysis; Meta-heuristics; Optimization; Queuing theory; Reliability; Scheduling; Sequencing; Simulation; Statistics; Systems analysis; Timetabling.
  • Disclaimer: Although we have prepared the content of this journal responsibly and carefully, but disclaim all warranties of any kind, express or implied, as to the accuracy, suitability or completeness of any information contained on the journal and its website or on other linked websites or on any subsequent links.
     

 

 

 

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Journal of Applied Operational Research

Air Transport Optimization

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  Operational Research and Management Science Letters

Big Data Analytics and Decision Science

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Lecture Notes in Management Science

Optimization Methods in Logistics

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Public Transport Optimization Contacts
   

OR in Natural Resources Management

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Quantitative Methods in Finance

 
   

Scheduling in Healthcare Systems

 

            

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