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International Journal of Production Technology and Management (ISSN: 0976-6383)

PublisherIAEME Publication




IF(Impact Factor)2024 Evaluation Pending



The International Journal of Production technology and management(IJPTM)focuses on topics treating the interface between engineering and management. All aspects of the subject in relation to manufacturing and process industries, as well as production in general are covered. The journal is interdisciplinary in nature, considering whole cycles of activities, such as the product life cycle - research, design, development, test, launch, disposal - and the material flow cycle - supply, production, distribution.
The ultimate objective of the journal is to disseminate knowledge for improving industrial practice and to strengthen the theoretical base necessary for supporting sound decision making. It provides a forum for the exchange of ideas and the presentation of new developments in theory and application, wherever engineering and technology meet the managerial and economic environment in which industry operates. In character, the journal combines the high standards of a traditional academic approach with the practical value of industrial applications.
The journal reports peer reviewed results of latest research in industrial engineering, production engineering and industrial organization. The high level and focus on both the scientific as well as the practical impact of the selected papers will bridge the gap between research and successful industrial application.
Journal Coverage
The journal covers the full range of advanced manufacturing technology. It therefore publishes papers on robotics; artificial intelligence, including speech technology, vision and tactile sensing; grippers; programmable controllers; lasers and other advanced processes; programmable assembly; flexible manufacturing systems; computer integrated manufacturing; inspection; automatic test equipment; simulation; motors, controls and drives; local area networking; production planning and control; logistics and supply chain management; human factors; and economics. Fields of interest include, but are not limited to:
Artificial Intelligence
Automatic Control
Cutting and Forming Processes
Decision Support Systems
Discrete Systems and Methodology
Fuzzy Systems
Human Behaviour Representation
Industrial Engineering
Industrial Processes
Inventory Management
Knowledge Management
Manufacturing Systems
Mechanical Engineering
Numerical Techniques
Operations Research
Operations Strategy
Operations Planning, Scheduling and Control
Optimisation Techniques
Production Processes
Project Management
Rapid Prototyping
Robotics and Manipulators
Quality Management
Queuing Systems
Risk and Uncertainty
Statistical Methods
Supply Chain Management
Logistics Management
Technology, Technological Improvement
Virtual Reality
Virtual Laboratory

Last modified: 2016-04-28 15:16:03