EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Scope & Guideline

Driving Excellence in Decision-Making and Optimization

Introduction

Immerse yourself in the scholarly insights of EUROPEAN JOURNAL OF OPERATIONAL RESEARCH with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN0377-2217
PublisherELSEVIER
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 1977 to 2025
AbbreviationEUR J OPER RES / Eur. J. Oper. Res.
Frequency24 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

The European Journal of Operational Research (EJOR) is dedicated to publishing high-quality research in the field of operational research. Its primary aim is to advance the theory and practice of operational research and its applications across various sectors. The journal encompasses a wide range of methodologies and approaches, ensuring that it remains at the forefront of operational research innovation.
  1. Optimization Techniques:
    The journal focuses heavily on optimization methods, including linear programming, mixed-integer programming, and heuristic approaches, to solve complex decision-making problems in various domains.
  2. Decision Support Systems:
    EJOR emphasizes the development and application of decision support systems that aid in organizational decision-making processes, integrating data analysis, modeling, and optimization.
  3. Supply Chain Management:
    Research related to supply chain optimization is a core area, addressing challenges such as logistics, inventory management, and network design to enhance operational efficiency.
  4. Healthcare Operations:
    The journal includes significant contributions to healthcare operations research, focusing on resource allocation, scheduling, and efficiency improvements in health services.
  5. Sustainability and Environmental Considerations:
    Sustainability is increasingly a focus area, with papers exploring optimization models that incorporate environmental impacts and promote sustainable practices in operations.
  6. Stochastic and Dynamic Modeling:
    EJOR publishes studies on stochastic processes and dynamic systems, providing insights into uncertainty and time-dependent behaviors in operational contexts.
The European Journal of Operational Research is currently witnessing several emerging trends that reflect the evolving nature of the field. These trends are indicative of the increasing complexity of operational challenges and the demand for innovative solutions.
  1. Data-Driven Decision Making:
    There is a growing emphasis on data analytics and machine learning techniques within operational research, highlighting the importance of data-driven approaches in decision-making processes.
  2. Sustainability and Circular Economy:
    Research focusing on sustainability, the circular economy, and environmentally friendly practices is becoming increasingly prominent, reflecting global priorities in operations management.
  3. Healthcare Optimization:
    The healthcare sector is a rapidly expanding area of interest, with studies exploring optimization in resource allocation, scheduling, and patient flow management, particularly in response to challenges posed by the pandemic.
  4. Multi-Criteria Decision Making (MCDM):
    The application of multi-criteria decision-making frameworks is on the rise, addressing the complexity of decisions that involve multiple conflicting objectives across various domains.
  5. Agent-Based Modeling and Simulation:
    Emerging research utilizing agent-based modeling techniques is gaining traction, allowing for the exploration of complex systems and behaviors in operational contexts.
  6. Integration of AI and Operations Research:
    The intersection of artificial intelligence and operational research is becoming a prominent theme, with increasing applications of AI techniques in optimization and decision support.

Declining or Waning

While the European Journal of Operational Research continues to thrive in many areas, certain themes have seen a decline in focus over the recent years. This may reflect shifts in research priorities within the operational research community and the evolving landscape of challenges faced by various industries.
  1. Traditional Operations Research Methods:
    There has been a noticeable decrease in publications centered around classical operations research methods, such as deterministic linear programming, as newer methodologies and algorithms gain prominence.
  2. Basic Statistical Analysis:
    Papers focusing solely on basic statistical techniques without integration into more complex operational models appear to be waning, as the field moves towards more sophisticated analytical approaches.
  3. Static Modeling Approaches:
    The reliance on static models has diminished, with a shift towards dynamic and adaptive models that can better reflect real-world complexities and uncertainties.
  4. Single-Objective Optimization:
    Research concentrating exclusively on single-objective optimization problems is declining, as the interest shifts towards multi-objective optimization that addresses multiple, often conflicting, criteria.
  5. Local Case Studies without Broader Implications:
    There is a trend away from papers that focus solely on local or specific case studies without broader applicability or theoretical contributions, as the journal seeks to publish work with wider relevance.

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