RAIRO-OPERATIONS RESEARCH

Scope & Guideline

Unlocking the potential of operations research for future leaders.

Introduction

Welcome to your portal for understanding RAIRO-OPERATIONS RESEARCH, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN0399-0559
PublisherEDP SCIENCES S A
Support Open AccessNo
CountryFrance
TypeJournal
Convergefrom 1977 to 1978, from 1995 to 2024
AbbreviationRAIRO-OPER RES / Rairo-Oper. Res.
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address17, AVE DU HOGGAR, PA COURTABOEUF, BP 112, F-91944 LES ULIS CEDEX A, FRANCE

Aims and Scopes

RAIRO-Operations Research is dedicated to advancing the field of operations research through a range of methodologies and applications. The journal focuses on both theoretical developments and practical applications within various domains, including supply chain management, optimization techniques, and decision-making models.
  1. Supply Chain Management and Optimization:
    The journal consistently publishes research on optimizing supply chains, including inventory management, pricing strategies, and the integration of sustainability practices.
  2. Mathematical Programming and Optimization Techniques:
    A strong emphasis is placed on mathematical models, such as linear programming, mixed-integer programming, and non-linear optimization, often addressing complex real-world problems.
  3. Game Theory and Decision Analysis:
    Research related to game theory applications in competitive and cooperative settings, particularly in supply chain and economic contexts, is a significant focus area.
  4. Graph Theory and Combinatorial Optimization:
    The journal publishes studies on graph theory, including domination and coloring problems, which are essential in network design and optimization tasks.
  5. Multi-Criteria Decision Making (MCDM):
    The incorporation of various decision-making frameworks, including fuzzy logic and DEA (Data Envelopment Analysis), to address complex decision problems in uncertain environments.
The journal has been evolving, with several emerging themes gaining traction in recent publications. These trends reflect the changing landscape of operations research and its applications.
  1. Sustainable Supply Chain Practices:
    There is an increasing focus on sustainability in supply chains, emphasizing the integration of environmental considerations into operational strategies.
  2. Data-Driven Decision Making:
    Research incorporating big data analytics and machine learning techniques to enhance decision-making processes in various operational contexts is on the rise.
  3. Complex Network Optimization:
    The application of network theory to optimize complex systems, particularly in transportation and logistics, is gaining more attention.
  4. Resilience in Supply Chains:
    Emerging studies explore the resilience of supply chains in the face of disruptions, highlighting the need for adaptive strategies and risk management.
  5. Advanced Heuristic and Metaheuristic Algorithms:
    The use of sophisticated heuristic and metaheuristic approaches for solving complex optimization problems is becoming increasingly prevalent in publications.

Declining or Waning

Despite the journal's robust focus on various aspects of operations research, certain themes have shown a decline in prominence over recent years. The following areas appear to be waning in frequency within published research.
  1. Traditional Inventory Management Models:
    Research that relies solely on classical inventory models without integrating modern approaches, such as sustainability or technology-driven solutions, has become less common.
  2. Basic Linear Programming Applications:
    While foundational linear programming remains important, publications focusing on basic applications without innovative methodologies or real-world complexities have decreased.
  3. Single-Dimensional Decision Problems:
    Papers addressing overly simplistic decision-making scenarios without considering multi-dimensional or multi-criteria approaches are less frequently seen.
  4. Static Supply Chain Models:
    There is a noticeable shift away from static models towards dynamic and adaptable frameworks that better reflect the complexities of modern supply chains.
  5. Theoretical Graph Problems Without Applications:
    Research focused purely on theoretical aspects of graph problems, without practical applications or implications, has seen a reduction in publication.

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