Computers in Industry - Elsevier - Impact Factor

Computers in Industry - Elsevier | 2024 Impact Factor:9.1 | Cite Score:22.4 | Q1

Computers in Industry Journal - Elsevier

Impact Factor and Journal Rank of Computers in Industry

About: Computers in Industry is a reputable, peer-reviewed scientific journal that publishes high-quality research articles and review papers on the application of information and communication technology (ICT) in industrial environments. The journal serves as a crucial platform for disseminating advancements and innovations that enhance the efficiency, productivity, and sustainability of industrial processes through the use of computer technologies.
Interdisciplinary Approach: The journal promotes interdisciplinary collaboration by integrating knowledge from various fields such as engineering, computer science, operations research, and management science. This approach helps in addressing complex industrial challenges through comprehensive and multifaceted solutions.
High Standards and Impact: Computers in Industry maintains high academic and professional standards through a rigorous peer-review process. The journal is recognized for its significant impact on the field, with its articles frequently cited by researchers and practitioners.
Global Reach: The journal has a wide international readership and attracts contributions from researchers and professionals around the world. This global perspective ensures that the journal covers a broad range of topics and regional developments in the application of ICT in industry.
Significance: It is a leading journal that significantly contributes to the integration of ICT in industrial environments, driving innovation and efficiency in industrial processes. Its interdisciplinary approach, high standards, and global reach make it a vital resource for researchers, practitioners, and policymakers in the field of industrial engineering and information technology.

Journal Home: Journal Homepage

Editor-in-Chief: Raymond Chiong

Scope: The journal focuses on the integration of computer-based systems in the manufacturing and production sectors, promoting advancements that enhance efficiency, productivity, and innovation. The scope of Computers in Industry encompasses a broad range of topics related to the application of computing and information systems in industrial contexts.
Here are the key areas covered by the scope of the journal:
Industrial Automation and Control: Research on the application of computer-based systems for automating industrial processes. This includes studies on programmable logic controllers (PLCs), supervisory control and data acquisition (SCADA) systems, distributed control systems (DCS), and robotics.
Manufacturing Systems and Technologies: Studies on the design, implementation, and optimization of manufacturing systems using computing technologies. Topics include computer-aided design (CAD), computer-aided manufacturing (CAM), computer-integrated manufacturing (CIM), and flexible manufacturing systems (FMS).
Information Systems in Industry: Research on the use of information systems to support industrial operations. This includes enterprise resource planning (ERP) systems, manufacturing execution systems (MES), and supply chain management (SCM) systems.
Cyber-Physical Systems (CPS): Studies on the integration of physical processes with computational control in industrial environments. This includes the development and application of CPS for smart manufacturing, intelligent automation, and the Internet of Things (IoT) in industry.
Production Planning and Scheduling: Research on the use of computer-based systems for production planning, scheduling, and optimization. This includes studies on algorithms, software tools, and decision support systems for managing production workflows and resources.
Quality Control and Management: Studies on the application of computing technologies for quality control and quality management in industrial processes. This includes research on statistical process control (SPC), Six Sigma, total quality management (TQM), and automated inspection systems.
Human-Machine Interaction (HMI): Research on the design and evaluation of human-machine interfaces in industrial settings. This includes studies on ergonomics, user experience, cognitive engineering, and the impact of automation on human operators.
Industrial Data Analytics: Studies on the use of data analytics, big data, and machine learning to extract insights from industrial data. This includes research on predictive maintenance, process optimization, anomaly detection, and data-driven decision-making.