Journal of Intelligent Manufacturing - Impact Factor

Journal of Intelligent Manufacturing | 2024 Impact Factor:7.4 | Cite Score:16.5 | Q1

Impact Factor and Journal Rank of Intelligent Manufacturing

About: The Journal of Intelligent Manufacturing is a scholarly publication that provides a platform for researchers, practitioners, and professionals to share their findings and advancements in the field of intelligent manufacturing. It covers a broad spectrum of topics related to the application of intelligent systems, technologies, and methodologies in manufacturing processes.
Objective: The primary objective of the journal is to disseminate cutting-edge research and knowledge that contributes to the development and implementation of intelligent manufacturing systems. By publishing high-quality research articles, the journal aims to foster innovation, efficiency, and sustainability in manufacturing practices worldwide.
Interdisciplinary Focus: The "Journal of Intelligent Manufacturing" embraces an interdisciplinary approach, welcoming contributions from various disciplines including manufacturing engineering, artificial intelligence, robotics, automation, data science, and computer science. This interdisciplinary focus allows for the exploration of novel solutions and methodologies to address complex challenges in manufacturing.
Global Reach and Impact: With a global readership and authorship, the journal has a significant impact on both academia and industry worldwide. Its research articles provide valuable insights and solutions to enhance manufacturing processes, improve product quality, and optimize resource utilization in diverse industrial sectors.
High Standards and Rigorous Review: The journal maintains high standards of quality and rigor in the review process for submitted manuscripts. Each article undergoes a thorough peer-review process, where it is evaluated by experts in the relevant fields for originality, significance, methodological soundness, and contribution to the literature.
Significance: The Journal of Intelligent Manufacturing is a leading publication in the field of intelligent manufacturing, known for its contributions to advancing knowledge and practice in this domain. Its research articles inform decision-making processes, drive technological advancements, and shape the future of manufacturing systems and technologies.

Journal Home: Journal Homepage

Editor-in-Chief: Andrew Kusiak

Scope: The Journal of Intelligent Manufacturing is a peer-reviewed academic journal that focuses on research and developments in the field of intelligent manufacturing systems.
Here is an overview of its scope:
Intelligent Manufacturing Systems: The journal covers research on the design, development, and implementation of intelligent manufacturing systems. This includes studies on advanced automation technologies, robotics, artificial intelligence (AI), machine learning, and cyber-physical systems applied to manufacturing processes.
Digital Manufacturing and Industry 4.0: Research on digital manufacturing and Industry 4.0 technologies is within the scope of the journal. This includes studies on the integration of information technology, Internet of Things (IoT), cloud computing, and data analytics to enable smart and connected manufacturing environments.
Smart Factories and Production Systems: The journal publishes research on smart factory concepts and intelligent production systems. This includes studies on the optimization of manufacturing processes, real-time monitoring and control, predictive maintenance, and adaptive manufacturing strategies.
Advanced Manufacturing Technologies: Research on emerging manufacturing technologies and innovative production methods is relevant to the journal. This includes studies on additive manufacturing (3D printing), advanced materials processing, nanotechnology, and sustainable manufacturing practices.
Intelligent Quality Control and Assurance: The journal covers research on intelligent quality control and assurance techniques in manufacturing. This includes studies on statistical process control, quality prediction models, fault diagnosis, and reliability analysis using AI and machine learning approaches.
Supply Chain Management and Logistics: Research on intelligent supply chain management and logistics is within the scope of the journal. This includes studies on demand forecasting, inventory optimization, logistics network design, and transportation planning using intelligent techniques.
Human-Machine Collaboration and Human Factors: The journal publishes research on human-machine collaboration and human factors in intelligent manufacturing systems. This includes studies on human-robot interaction, ergonomics, safety engineering, and user-centered design of manufacturing interfaces.
Cybersecurity and Data Privacy in Manufacturing: Research on cybersecurity and data privacy issues in intelligent manufacturing systems is relevant to the journal. This includes studies on secure communication protocols, data encryption, access control mechanisms, and privacy-preserving techniques for manufacturing data.