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International Journal of Operations and Quantitative Management - INFOMS | 2024 Cite Score: 3.1 | Q3

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International Journal of Operations and Quantitative Management - INFOMS | 2024 Cite Score: 3.1 | Q3

  • About the Journal:
    The International Journal of Operations and Quantitative Management (IJOQM) is a peer-reviewed scholarly journal that serves as a global platform for the dissemination of research and advancements in operations management and quantitative analysis. The journal aims to bridge the gap between theory and practice by publishing articles that apply quantitative methods to solve complex operational and managerial problems across industries. It encourages both conceptual and empirical research that contributes to improving organizational efficiency, productivity, and decision-making.
  • The objective of the International Journal of Operations and Quantitative Management (IJOQM) is to provide an international forum for discussions of advancements in operations management, operations research, quantitative management and management science. The Journal publishes high-quality research articles in all of these areas, and particularly encourages articles dealing with international issues, practical experiences, pedagogical aspects including case research, developments in the emerging nations, service management, and other nontraditional and innovative areas. Purely theoretical articles should make significant contribution to the existing knowledge.

  • Editor-in-Chief:  Prof. Dr. Sallahuddin B Hassan

  • Scope of the Journal:
    IJOQM covers a wide range of topics related to operations management and quantitative methods, including but not limited to:
    • Operations and production management
    • Quantitative modeling and optimization
    • Decision sciences and operations research
    • Supply chain and logistics management
    • Quality management and performance measurement
    • Simulation and systems modeling
    • Forecasting, scheduling, and inventory control
    • Risk management and stochastic analysis
    • Data analytics and information systems in operations
    • Applications of quantitative techniques in management and economics
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  10821910

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:  Information Systems and Management, Management Science and Operations Research

  • Publication Frequency:  

  • H Index:  15

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Information Systems and Management

    Q4:  

  • Cite Score:  3.1

  • SNIP:  0.472

  • Journal Rank(SJR):  0.267