JOURNAL OF INTELLIGENT MANUFACTURING

Scope & Guideline

Elevating Manufacturing Standards with Rigorous Research

Introduction

Welcome to your portal for understanding JOURNAL OF INTELLIGENT MANUFACTURING, 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
ISSN0956-5515
PublisherSPRINGER
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 1990 to 2024
AbbreviationJ INTELL MANUF / J. Intell. Manuf.
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 Journal of Intelligent Manufacturing focuses on the intersection of advanced manufacturing technologies and artificial intelligence, emphasizing the role of machine learning, digital twins, and smart manufacturing systems in enhancing industrial processes.
  1. Artificial Intelligence and Machine Learning in Manufacturing:
    The journal publishes research on the application of AI and machine learning techniques to optimize manufacturing processes, improve predictive maintenance, and enhance quality control.
  2. Digital Twin Technology:
    A significant focus is placed on the development and application of digital twin technologies, which facilitate real-time monitoring and simulation of manufacturing processes.
  3. Human-Robot Collaboration:
    Research in this area explores the integration of collaborative robots (cobots) in manufacturing environments, enhancing safety and productivity through intelligent systems.
  4. Quality Control and Defect Detection:
    The journal features studies on advanced methods for quality assurance, including the use of machine vision and deep learning for defect detection in various manufacturing processes.
  5. Sustainable Manufacturing Practices:
    There is a growing emphasis on sustainability, with research addressing energy efficiency, waste reduction, and the environmental impact of manufacturing processes.
  6. Supply Chain Optimization:
    The journal covers methodologies for optimizing supply chain management through intelligent systems, including the use of AI for demand forecasting and resource allocation.
Recent publications in the Journal of Intelligent Manufacturing reveal several emerging themes that are gaining traction among researchers. These trends indicate a shift towards more innovative and integrated approaches within the field.
  1. Explainable AI in Manufacturing:
    There is a growing interest in developing explainable AI systems that enhance transparency and trust in automated decision-making processes within manufacturing.
  2. Integration of IoT and Smart Systems:
    The convergence of the Internet of Things (IoT) with manufacturing processes is becoming increasingly prominent, enabling real-time data collection and analysis for smarter operations.
  3. Resilient and Adaptive Manufacturing Systems:
    Research is trending towards creating manufacturing systems that can adapt to changes in demand and supply chain disruptions, emphasizing flexibility and resilience.
  4. Data-Driven Process Optimization:
    There is an increasing focus on leveraging big data analytics to optimize manufacturing processes, improve efficiency, and reduce costs through data-driven insights.
  5. Sustainable and Circular Manufacturing:
    Emerging themes include sustainable practices and circular economy principles in manufacturing, addressing environmental concerns and resource efficiency.

Declining or Waning

While the Journal of Intelligent Manufacturing continues to evolve, certain research themes are becoming less prominent. This section highlights those areas that appear to be waning in focus.
  1. Traditional Manufacturing Techniques:
    Research on conventional manufacturing methods is declining as the focus shifts towards integrating advanced technologies like AI and automation.
  2. Simple Automation Solutions:
    The emphasis on basic automation solutions is waning in favor of more sophisticated, intelligent systems that leverage machine learning and data analytics.
  3. Hardware-Centric Approaches:
    There is a noticeable decline in research centered solely on hardware improvements, with a greater focus now on software-driven solutions and smart systems.
  4. Static Quality Control Methods:
    Static methods of quality control are losing traction as dynamic, real-time monitoring solutions gain prominence, reflecting a shift towards more proactive quality management.

Similar Journals

ADVANCED ENGINEERING INFORMATICS

Connecting Researchers to Drive Engineering Progress
Publisher: ELSEVIER SCI LTDISSN: 1474-0346Frequency: 4 issues/year

ADVANCED ENGINEERING INFORMATICS is a prestigious journal published by Elsevier Science Ltd, dedicated to the interdisciplinary fields of Artificial Intelligence and Information Systems. Established in 2002, this journal serves as a vital platform for researchers and practitioners to disseminate groundbreaking insights and innovations that shape the future of engineering and technological integration. With an impressive impact factor and ranked in the Q1 category for both Artificial Intelligence and Information Systems in 2023, it holds a prominent position, with Scopus rankings placing it in the 92nd percentile among 394 journals in Computer Science Information Systems and the 87th percentile among 350 journals in Computer Science Artificial Intelligence. ADVANCED ENGINEERING INFORMATICS embraces an Open Access model, ensuring that cutting-edge research is accessible to a global audience, fostering collaboration and development across academic and professional circles. The journal is committed to advancing knowledge and influencing practice, paving the way for the next generation of technologies that enhance engineering informatics.

International Journal of Automation Technology

Empowering Engineers: Unlocking the Potential of Automation
Publisher: FUJI TECHNOLOGY PRESS LTDISSN: 1881-7629Frequency: 6 issues/year

Welcome to the International Journal of Automation Technology, a forefront publication in the dynamic fields of Industrial and Manufacturing Engineering and Mechanical Engineering, published by FUJI TECHNOLOGY PRESS LTD. With an ISSN of 1881-7629 and E-ISSN of 1883-8022, this peer-reviewed journal has been embracing the open access model since 2007, allowing researchers worldwide to disseminate and access groundbreaking work. It aims to advance knowledge in automation technology through original research, reviews, and case studies, making contributions that impact both theoretical frameworks and practical applications in automation systems. As reflected in its 2023 Q2 quartile rankings, the journal holds a respectable position among its peers, fostering a vibrant academic community committed to innovation. Situated in Tokyo, Japan, the journal continually seeks to highlight compelling findings that respond to the contemporary challenges facing engineering disciplines, ultimately supporting the growth of automation technologies in various sectors.

IEEE Open Journal of Industry Applications

Unlocking the future of industrial engineering through collaboration.
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCISSN: Frequency: 1 issue/year

IEEE Open Journal of Industry Applications is a premier open-access publication established in 2020 by the esteemed IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, dedicated to advancing the fields of Control and Systems Engineering, Electrical and Electronic Engineering, and Industrial and Manufacturing Engineering. With a strong commitment to disseminating high-quality research, the journal has rapidly garnered recognition, achieving a Q1 quartile ranking in multiple engineering categories, notably securing a rank of 21st out of 321 in Control and Systems Engineering and 26th out of 384 in Industrial and Manufacturing Engineering as of 2023. This journal not only facilitates immediate access to cutting-edge findings but also fosters an inclusive academic environment where researchers, professionals, and students can engage with and contribute to the evolving landscape of industry applications. By embracing open access, it ensures that pivotal research is freely available, thereby maximizing its impact on the scientific community. For potential contributors and readers, the journal's robust Scopus rankings—placing it in the top 7% of its fields—highlight its significance as a leading platform for innovative discussions and explorations in engineering.

Computers & Industrial Engineering

Advancing the Boundaries of Technology and Industry
Publisher: PERGAMON-ELSEVIER SCIENCE LTDISSN: 0360-8352Frequency: 12 issues/year

Computers & Industrial Engineering, published by PERGAMON-ELSEVIER SCIENCE LTD, is a premier journal dedicated to advancing the fields of computer science and industrial engineering. Since its inception in 1976, this journal has become a vital resource for researchers and professionals, with a remarkable impact factor and distinguished Q1 quartile rankings in both the Computer Science and Engineering categories, reflecting its significant influence and respect within the academic community. Featuring a comprehensive scope that encompasses innovative computational methods, system optimization, and industrial applications, it serves as a platform for high-quality research that explores the interplay between technology and industrial processes. Although it does not currently offer open access, the journal's robust indexing in Scopus—ranked #12 in General Engineering and #15 in General Computer Science—underscores its commitment to disseminating cutting-edge knowledge and fostering collaboration among scholars, practitioners, and students globally. With its convergence spanning until 2024, Computers & Industrial Engineering is positioned at the forefront of emerging trends, making it an essential reference point for anyone dedicated to the evolution of technology in industry.

Journal of Industrial Information Integration

Transforming Industry Through Innovative Insights
Publisher: ELSEVIERISSN: 2467-964XFrequency: 4 issues/year

The Journal of Industrial Information Integration, published by Elsevier, stands at the forefront of scholarly research in the fields of Industrial and Manufacturing Engineering and Information Systems and Management. With an ISSN of 2467-964X and an E-ISSN of 2452-414X, this esteemed journal provides a vital platform for disseminating innovative findings that bridge the gap between industry and academia. It is a recognized leader in its category, boasting a Q1 Quartile ranking in both relevant fields, reflecting its high-impact scholarly contributions. Notably, it ranks 3rd out of 148 in Decision Sciences and 7th out of 384 in Engineering disciplines on the Scopus rank, highlighting its significant influence within the research community. Researchers, professionals, and students engaged in the transformation of industrial practices through information integration will find this journal indispensable for accessing cutting-edge studies, methodologies, and case analyses. Operating under a closed access model, the journal also encourages submission of articles that contribute to advancing the theoretical and practical understanding of integrated industrial information systems, thus fostering innovation and progressive thinking in the field.

ASSEMBLY AUTOMATION

Transforming Industry Standards with Cutting-Edge Studies
Publisher: EMERALD GROUP PUBLISHING LTDISSN: 0144-5154Frequency: 4 issues/year

ASSEMBLY AUTOMATION, published by EMERALD GROUP PUBLISHING LTD, is a pivotal journal that has been addressing the field of industrial and manufacturing engineering since its inception in 1980. With an ISSN of 0144-5154 and an E-ISSN of 1758-4078, this journal is dedicated to advancing the knowledge and practices in assembly and automation technologies, essential for today’s competitive industrial landscape. Though its coverage in Scopus has been discontinued, it maintains a respectable ranking of #116/355 in Industrial and Manufacturing Engineering and #105/286 in Control and Systems Engineering, placing it in the 67th and 63rd percentiles, respectively. The journal serves as a valuable resource for researchers, professionals, and students seeking insights into the latest developments and trends in the automation sector. While Open Access options are available, readers can immerse themselves in a vast array of impactful studies that delve into operational efficiency, innovative manufacturing solutions, and the future of automation technologies.

Smart and Sustainable Manufacturing Systems

Advancing sustainable practices in manufacturing.
Publisher: AMER SOC TESTING MATERIALSISSN: 2520-6478Frequency: 1 issue/year

Smart and Sustainable Manufacturing Systems is a cutting-edge scholarly journal published by the American Society for Testing and Materials, focusing on the intersection of technology and sustainable practices within the realms of manufacturing and systems engineering. Since its inception in 2017, the journal has established itself as a vital resource for researchers and practitioners seeking to advance the field, particularly through innovative practices that enhance efficiency and reduce environmental impact. The journal is indexed with growing recognition, holding a 2023 category quartile ranking of Q2 in Industrial and Manufacturing Engineering and Q3 in both Computer Science Applications and Control and Systems Engineering. Although it operates without open-access options, the journal serves a dedicated audience by offering peer-reviewed, high-quality research aimed at fostering the sustainable progression of manufacturing systems. With its robust Scopus rankings, including a percentile ranking of 51st in Industrial and Manufacturing Engineering, the Smart and Sustainable Manufacturing Systems journal is positioned as a crucial platform for disseminating knowledge and supporting the global dialogue on sustainable industrial practices.

INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING

Transforming Manufacturing with Cutting-Edge Research
Publisher: TAYLOR & FRANCIS LTDISSN: 0951-192XFrequency: 12 issues/year

INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING (ISSN: 0951-192X, E-ISSN: 1362-3052), published by Taylor & Francis Ltd, stands as a leading platform in the realm of manufacturing technologies and automated systems. With a distinguished reputation reflected in its Q1 rankings across multiple engineering categories—including Aerospace Engineering and Industrial and Manufacturing Engineering—this journal plays a pivotal role in advancing the discourse on computer-integrated manufacturing processes, automation, and system interoperability. The journal's impact is underscored by its strong performance, ranking in the top tiers of Scopus, notably placing 64th in Mechanical Engineering. Aimed at fostering innovation and collaboration among researchers, professionals, and students, the journal encourages the dissemination of cutting-edge research that bridges the gap between academia and industry. By facilitating open access to groundbreaking findings and discussions, INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING not only contributes to the academic community but also plays a vital role in shaping the future of manufacturing technologies.

TEHNICKI GLASNIK-TECHNICAL JOURNAL

Bridging Theory and Practice in Technical Research
Publisher: UNIV NORTHISSN: 1846-6168Frequency: 4 issues/year

TEHNICKI GLASNIK-TECHNICAL JOURNAL is a peer-reviewed, open-access journal published by UNIV NORTH in Croatia, dedicated to fostering knowledge and innovation in the fields of engineering, computer science applications, and information systems. With an ISSN of 1846-6168 and an E-ISSN of 1848-5588, this journal has been a vital resource for researchers since its transition to open access in 2009, ensuring that valuable insights are freely available to the global academic community. Notably, it has achieved a commendable presence in various Scopus categories, including ranking in the 34th percentile for general engineering and engaging with emerging trends in areas like computer graphics and management information systems. As of 2023, it holds quartile rankings ranging from Q3 in engineering to Q4 in several computer science categories, underlining its diverse scope and relevance. The journal aims to provide a platform for rigorous research, innovative methodologies, and practical applications, making it essential reading for academics, practitioners, and students interested in advancing their understanding and practice in technical disciplines.

Production and Manufacturing Research-An Open Access Journal

Empowering Researchers with Open Access Insights
Publisher: TAYLOR & FRANCIS LTDISSN: Frequency: 1 issue/year

Production and Manufacturing Research-An Open Access Journal, published by TAYLOR & FRANCIS LTD, is a leading international journal dedicated to the advancement of knowledge in the field of industrial and manufacturing engineering. Established as an Open Access publication since 2013, this journal ensures that cutting-edge research is freely accessible, fostering collaboration and innovation among practitioners and academics alike. With an impressive Q2 ranking in the Industrial and Manufacturing Engineering category for 2023, it stands at rank #103 out of 384 in Scopus, reflecting its growing influence and relevance in the academic community—with a notable 73rd percentile ranking. Covering a wide array of topics from production processes to manufacturing systems, the journal aims to present high-quality research that addresses contemporary challenges in production and manufacturing. Researchers, professionals, and students looking to stay at the forefront of advancements in this dynamic field will find invaluable insights and resources within its pages, further contributing to the evolution of manufacturing strategies globally.