JOURNAL OF INTELLIGENT MANUFACTURING

Scope & Guideline

Navigating the Intersection of AI and Manufacturing Excellence

Introduction

Immerse yourself in the scholarly insights of JOURNAL OF INTELLIGENT MANUFACTURING 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
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

Production and Manufacturing Research-An Open Access Journal

Transforming Production Challenges into Opportunities
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.

Smart and Sustainable Manufacturing Systems

Pioneering research for a greener manufacturing landscape.
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 ADVANCED MANUFACTURING TECHNOLOGY

Transforming Ideas into Advanced Manufacturing Solutions.
Publisher: SPRINGER LONDON LTDISSN: 0268-3768Frequency: 18 issues/year

International Journal of Advanced Manufacturing Technology, published by Springer London Ltd, is a leading journal in the fields of advanced manufacturing, technology, and engineering. With a dedicated ISSN of 0268-3768 and an E-ISSN of 1433-3015, this journal serves as a critical platform for researchers and practitioners to disseminate cutting-edge findings and innovations that are shaping the future of manufacturing technology. Operating from the heart of the United Kingdom, this journal prides itself on its rigorous peer-review process and high-quality publication standards, reflected in its Q2 ranking in multiple categories including Computer Science Applications, Control and Systems Engineering, and Industrial and Manufacturing Engineering among others. The journal features a broad scope that encompasses novel methodologies, advancements in automation, and sustainable practices within the manufacturing sector. Targeting a multidisciplinary audience, including researchers, professionals, and graduate students, the International Journal of Advanced Manufacturing Technology is an invaluable resource for those looking to stay at the forefront of manufacturing innovations from 1985 to 2024.

International Journal of Industrial Engineering and Management

Transforming knowledge into practical solutions.
Publisher: Univ Novi Sad, Fac Technical SciencesISSN: 2217-2661Frequency: 4 issues/year

The International Journal of Industrial Engineering and Management, published by the University of Novi Sad, Faculty of Technical Sciences, serves as a vital platform for advancing knowledge in the fields of industrial engineering and management. With an ISSN of 2217-2661 and an E-ISSN of 2683-345X, this open access journal has been disseminating high-quality research since 2010, ensuring that findings are freely accessible to researchers, professionals, and students globally. The journal operates out of Serbia, with a committed editorial team dedicated to fostering interdisciplinary dialogue in a rapidly evolving industrial landscape. Recognized for its impact, the journal holds a Q2 category ranking in both Business, Management and Accounting and Industrial and Manufacturing Engineering, reflecting its valuable contributions to the field. With converged years from 2010 to 2024 and a significant presence in Scopus rankings, this journal not only showcases innovative research but also encourages applied methodologies that bridge theory and practice, making it an essential resource for anyone involved in industrial engineering and management.

ASSEMBLY AUTOMATION

Driving Innovation in Assembly and Automation
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.

MANUFACTURING ENGINEERING

Shaping the Landscape of Manufacturing Knowledge
Publisher: SOC MANUFACTURING ENGINEERSISSN: 0361-0853Frequency: 12 issues/year

Manufacturing Engineering is a pivotal journal specializing in the fields of Industrial and Manufacturing Engineering, as well as Mechanical Engineering, with a rich history of publication since its inception in 1975. Published by the esteemed Société des Ingénieurs de Fabrication (SME), this journal plays a crucial role in disseminating innovative research, practical applications, and emerging technologies that shape the manufacturing sector. Despite its recent positioning in the Q4 quartile rankings on Scopus, the journal serves as a platform for rigorous peer-reviewed articles that contribute to the academic dialogue and bolster advancements in manufacturing practices. The journal operates without open access options, making it an essential resource for institutions and professionals looking to stay informed within the manufacturing domain. With a dedicated audience comprising researchers, engineers, and industry professionals, Manufacturing Engineering continues to address the evolving challenges and opportunities in manufacturing, fostering an environment ripe for collaboration and exploration.

ADVANCED ENGINEERING INFORMATICS

Transforming Insights into Engineering Excellence
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.

CIRP ANNALS-MANUFACTURING TECHNOLOGY

Advancing Manufacturing Excellence Through Innovative Research
Publisher: ELSEVIERISSN: 0007-8506Frequency: 2 issues/year

CIRP ANNALS-MANUFACTURING TECHNOLOGY is a prestigious journal published by Elsevier, dedicated to advancing the fields of Industrial and Manufacturing Engineering and Mechanical Engineering. With an impressive impact factor placing it in the Q1 category for both disciplines, this journal showcases cutting-edge research that drives innovation and technological advancements in manufacturing processes and systems. Despite not being an open access journal, it is widely recognized for its rigorous peer-review process and high-quality content, including original research articles, reviews, and case studies that are essential for professionals, researchers, and students alike. The journal's long history since its inception in 1964 underlines its ongoing commitment to contributing significant knowledge in manufacturing technology. Its relevance is further emphasized by its strong Scopus rankings, placing it in the top percentiles of its categories, ensuring that it serves as a critical resource for anyone looking to stay ahead in the ever-evolving landscape of manufacturing technology.

AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING

Transforming Design and Manufacturing Through Intelligent Solutions
Publisher: CAMBRIDGE UNIV PRESSISSN: 0890-0604Frequency: 1 issue/year

Welcome to AI EDAM - ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING, a leading journal published by Cambridge University Press. This esteemed journal focuses on innovative research at the intersection of artificial intelligence and engineering design, analysis, and manufacturing, making it an essential resource for academics, industry professionals, and students alike. With an ISSN of 0890-0604 and an E-ISSN of 1469-1760, AI EDAM has established itself within the academic community, reflected in its impressive Scopus rankings: a Q3 journal in Artificial Intelligence and a Q2 journal in Industrial and Manufacturing Engineering. Covering years from 1987 to 2024, this journal emphasizes the rapidly evolving nature of engineering practices influenced by AI technologies. With robust contributions to the fields of engineering and computer science, AI EDAM serves as a crucial platform for disseminating scholarly work that fosters advancements in design and manufacturing methodologies.

Journal of Industrial Information Integration

Integrating Knowledge for Enhanced Industrial Practices
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.