International Journal of Manufacturing Research

Scope & Guideline

Advancing Manufacturing Innovation Through Research

Introduction

Welcome to your portal for understanding International Journal of Manufacturing 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
ISSN1750-0591
PublisherINDERSCIENCE ENTERPRISES LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 2006 to 2020, from 2022 to 2024
AbbreviationINT J MANUF RES / Int. J. Manuf. Res.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressWORLD TRADE CENTER BLDG, 29 ROUTE DE PRE-BOIS, CASE POSTALE 856, CH-1215 GENEVA, SWITZERLAND

Aims and Scopes

The International Journal of Manufacturing Research focuses on advancing the field of manufacturing through innovative research and methodologies. Its core aims and scopes encompass a wide range of topics related to manufacturing processes, optimization techniques, and the integration of emerging technologies.
  1. Manufacturing Process Optimization:
    Research focused on improving the efficiency, quality, and performance of various manufacturing processes through optimization techniques and advanced methodologies.
  2. Application of Artificial Intelligence and Machine Learning:
    Exploration of AI and machine learning techniques applied to manufacturing, including defect detection, predictive maintenance, and process optimization.
  3. Sustainability and Circular Manufacturing:
    Investigation into sustainable manufacturing practices, including the circular economy, resource efficiency, and environmental impact reduction.
  4. Integration of Advanced Technologies:
    Studies on the integration of advanced manufacturing technologies such as additive manufacturing, robotics, and automation in manufacturing settings.
  5. Decision Support Systems in Manufacturing:
    Development and analysis of decision support systems that aid in manufacturing management, product customization, and operational efficiency.
  6. Materials Science and Engineering:
    Research on the properties and processing of materials used in manufacturing, including the development of new materials and the study of their behavior under various conditions.
The journal is actively engaging with new trends and emerging themes in manufacturing research. These areas reflect the evolving landscape of technology and the increasing complexity of manufacturing systems.
  1. Smart Manufacturing and Industry 4.0:
    A significant trend is the focus on smart manufacturing and Industry 4.0, incorporating IoT, big data, and cyber-physical systems into manufacturing processes.
  2. Sustainability and Green Manufacturing:
    Emerging themes around green manufacturing practices and sustainability are gaining traction, reflecting the industry's shift towards environmentally friendly practices.
  3. Advanced Robotics and Automation:
    There is an increasing emphasis on the use of advanced robotics and automation in manufacturing, including human-robot collaboration and autonomous systems.
  4. Data-Driven Decision Making:
    Research is trending towards data analytics and machine learning for decision-making processes in manufacturing, emphasizing real-time data utilization.
  5. Additive Manufacturing Innovations:
    The exploration of innovations in additive manufacturing is on the rise, with a focus on new materials, processes, and applications in various industries.

Declining or Waning

While the journal continues to cover a broad range of manufacturing topics, certain themes appear to be declining in prominence. These areas may reflect shifts in research interests or advancements in technology that render previous topics less relevant.
  1. Traditional Manufacturing Techniques:
    There is a noticeable decrease in research focused on traditional manufacturing methods, such as conventional machining processes, as newer technologies gain precedence.
  2. Basic Statistical Process Control Methods:
    Research centered around basic statistical methods for quality control is becoming less prominent, likely due to the growing interest in more sophisticated AI-driven analytics.
  3. Single-Focused Process Investigations:
    Papers focusing solely on individual manufacturing processes without considering system integration or multi-process interactions are appearing less frequently.
  4. Application of Legacy Systems in Manufacturing:
    The exploration of outdated or legacy manufacturing systems is waning, as the industry moves towards smart manufacturing and Industry 4.0 solutions.
  5. Manual and Semi-Automated Processes:
    Research on manual and semi-automated processes is declining in favor of fully automated and intelligent manufacturing solutions.

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