NAVAL RESEARCH LOGISTICS

Scope & Guideline

Pioneering Research for Strategic Naval Decision-Making

Introduction

Immerse yourself in the scholarly insights of NAVAL RESEARCH LOGISTICS 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
ISSN0894-069x
PublisherWILEY
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 1973 to 1978, from 1987 to 2024
AbbreviationNAV RES LOG / Nav. Res. Logist.
Frequency8 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address111 RIVER ST, HOBOKEN 07030-5774, NJ

Aims and Scopes

NAVAL RESEARCH LOGISTICS is dedicated to advancing the field of operations research and logistics, particularly in maritime and defense contexts. The journal encompasses a broad range of methodologies and applications that address complex logistical challenges faced by naval and maritime organizations.
  1. Operations Research in Logistics:
    The journal emphasizes the application of operations research techniques to optimize logistics processes, including supply chain management, inventory control, and resource allocation.
  2. Maritime and Naval Applications:
    Focusing on challenges specific to naval operations, the journal includes studies on naval logistics, air defense planning, and the optimization of maritime supply chains.
  3. Data-Driven Decision Making:
    Research published in the journal frequently utilizes data analytics and machine learning to enhance decision-making processes in logistics, including predictive modeling and resource management.
  4. Sustainability and Environmental Considerations:
    There is a growing focus on sustainability within logistics, including research on green supply chains, waste management, and the environmental impact of supply chain decisions.
  5. Healthcare Logistics:
    The journal also addresses logistics challenges in the healthcare sector, such as vaccine distribution and resource management during pandemics.
Recent publications in NAVAL RESEARCH LOGISTICS indicate a shift towards innovative and complex themes in logistics and operations research. These emerging scopes reflect the evolving nature of logistics challenges and the methodologies employed to address them.
  1. Resilience and Disruption Management:
    There is an increasing focus on developing strategies and models that enhance the resilience of supply chains against disruptions, particularly in light of recent global challenges such as pandemics and natural disasters.
  2. Integration of Artificial Intelligence and Machine Learning:
    The application of AI and machine learning techniques for predictive analytics and automation in logistics is gaining momentum, leading to more efficient operations and decision-making processes.
  3. Circular Economy and Sustainability:
    Research on circular economy principles within logistics is on the rise, emphasizing waste reduction, resource recovery, and sustainable practices in supply chain management.
  4. Healthcare Logistics Innovations:
    The journal is increasingly publishing studies on logistics solutions tailored for healthcare, particularly in response to the COVID-19 pandemic and the need for efficient vaccine distribution.
  5. Behavioral and Strategic Consumer Insights:
    Emerging themes reflect a growing interest in understanding consumer behavior and preferences in logistics, influencing inventory and pricing strategies in retail and e-commerce.

Declining or Waning

While NAVAL RESEARCH LOGISTICS continues to explore a wide array of logistics and operations research topics, certain themes have been observed to decline in prominence over recent years. These waning scopes reflect shifts in research priorities and emerging challenges in the field.
  1. Traditional Inventory Management Models:
    Classic inventory management strategies, while still relevant, have seen a reduction in focus as newer, more dynamic models that incorporate uncertainty and real-time data analytics gain traction.
  2. Static Supply Chain Structures:
    There is a noticeable decrease in research centered on static or traditional supply chain structures, as the emphasis shifts towards adaptive and resilient supply chain strategies that can respond to disruptions.
  3. Single-Factor Optimization Approaches:
    Research that concentrates solely on optimizing a single variable or factor within logistics is declining, with a growing preference for multi-factor and holistic optimization frameworks.
  4. Conventional Transportation Models:
    Traditional transportation optimization models are being overshadowed by more complex and integrated approaches that address the intricacies of modern logistics networks, including those involving multiple transport modes.

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