ANNALS OF OPERATIONS RESEARCH

Scope & Guideline

Redefining Possibilities in Management Science

Introduction

Welcome to the ANNALS OF OPERATIONS RESEARCH information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of ANNALS OF OPERATIONS RESEARCH, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN0254-5330
PublisherSPRINGER
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 1984 to 2024
AbbreviationANN OPER RES / Ann. Oper. Res.
Frequency8 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressVAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS

Aims and Scopes

The "ANNALS OF OPERATIONS RESEARCH" is a journal dedicated to the exploration and advancement of operations research methodologies and applications across various domains. The journal emphasizes rigorous theoretical contributions alongside practical applications that can address real-world challenges.
  1. Operations Research Methodologies:
    The journal publishes research on a broad range of methodologies including optimization, simulation, stochastic processes, and game theory, focusing on their applications in decision-making.
  2. Supply Chain Management:
    A significant portion of published work addresses supply chain dynamics, emphasizing sustainability, resilience, and efficiency in logistical and operational frameworks.
  3. Financial Modeling and Risk Management:
    Research often explores financial applications, including portfolio optimization, asset pricing, and risk assessment methodologies that cater to evolving market conditions.
  4. Data-Driven Decision Making:
    The journal increasingly features studies that integrate big data analytics and machine learning techniques into operations research, enhancing predictive capabilities and decision support.
  5. Healthcare Operations:
    Contributions in this area focus on optimizing healthcare delivery systems, resource allocation, and patient management under uncertainty, particularly highlighted during the COVID-19 pandemic.
  6. Sustainability and Environmental Impact:
    Research exploring the intersection of operations research with sustainability practices, including green supply chains and the environmental impact of operations, is increasingly prevalent.
The "ANNALS OF OPERATIONS RESEARCH" has seen a rise in interest in several emerging themes that reflect the current trends in operations research and its applications. These trends are indicative of the journal's responsiveness to contemporary challenges and technological advancements.
  1. Integration of Artificial Intelligence and Machine Learning:
    A significant trend is the incorporation of AI and machine learning techniques into operations research, particularly for predictive analytics, optimization, and decision-making processes across various sectors.
  2. Sustainability in Supply Chain Management:
    Research focusing on sustainable practices within supply chains has surged, addressing environmental concerns and the integration of sustainability metrics into operational decisions.
  3. Healthcare Operations Research:
    The COVID-19 pandemic has catalyzed a growing body of work dedicated to optimizing healthcare operations, resource allocation, and emergency response strategies, showcasing the relevance of operations research in public health.
  4. Resilience in Supply Chain Networks:
    Emerging research emphasizes the resilience of supply chains in the face of disruptions, exploring strategies for maintaining operational continuity and efficiency under adverse conditions.
  5. Data-Driven Decision-Making Frameworks:
    The trend towards data-driven methodologies continues to rise, with increasing emphasis on leveraging big data analytics to enhance operational decision-making and efficiency.
  6. Game Theory Applications:
    An upward trend in the application of game theory to various operational challenges, particularly in competitive and collaborative contexts, is evident, reflecting its relevance in strategic decision-making.

Declining or Waning

While the journal continues to evolve and adapt to new research trends, certain areas of emphasis have seen a decline in focus over recent years. This shift may reflect changing interests within the community or the emergence of new methodologies and applications.
  1. Traditional Operations Research Techniques:
    There appears to be a waning interest in classical operations research techniques that do not incorporate modern data analytics or computational advancements, as researchers increasingly seek innovative approaches.
  2. Deterministic Models:
    The prevalence of deterministic models has decreased as researchers favor stochastic and robust optimization frameworks that better account for uncertainty in real-world applications.
  3. Single-Objective Optimization:
    There has been a noticeable decline in studies centered solely on single-objective optimization problems, as multi-objective and hybrid approaches gain traction.
  4. Theoretical Contributions Without Practical Applications:
    Papers focusing exclusively on theoretical developments without clear applications or implications for practice are becoming less common, indicating a shift towards more applied research.

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