ijmpe maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.
About the Journal
International Journal of Manufacturing and Production Engineering is a peer-reviewed hybrid open-access journal launched in 2015 that features aspects of production engineering including production planning and control, manufacturing technology, and precision manufacturing, the journal also covers operation management and supply chain organization. The impetus of the journal relies upon providing a platform for researchers and scholars to publish their findings, be it in experimental or theoretical form, and to facilitate the process of scientific communication and to spread the idea of production engineering.
Focus and Scope
Production planning and control, workforce skills: Flexible work, for clean management, contract worker, manufacturing flexibility, core–peripheral model, Extended Enterprise, Manufacturing Chains, Customer Driven Manufacturing, Lean Production, World Class Manufacturing.
Casting trend and different machining technology: Minimum Quantity Lubrication, Al-Si Alloys, High-Speed Machining, Tool Wear, Evaluation of Lubricants, Malleable cast iron, Tool-workpiece matching, Cemented carbide coated tool, PVD coating, Dry turning.
Tool and precision engineering, Manufacturing Technology, Genetic Algorithm: Optimal setting, Back-propagation neural network, Genetic algorithm, Response surface methodology, Analysis of variance, Abrasive belt grinding, GA, Tool wear, Condition monitoring, SVM.
Metrology and inspection: Dimensional metrology, Sensor, Data fusion, Mobile CMM, Portable CMM, Large-scale metrology, Photogrammetry.
Automation and rapid manufacturing, Productivity Enhancement: Construction Automation, Rapid Manufacturing, Freeform Construction, Rapid Prototyping, Solid Freeform Fabrication.
Maintenance Engineering and Tribology, SMEs: Tribology, International standards, International organizations, Industry 4.0, Predictive maintenance, Motor vibration speed, Siemens S7-1200 PLC, Email notification, SCADA, Cloud-based dashboard report.
Reliability and quality engineering, Genetic Algorithm: Reliability-based design optimization, Robust design optimization, Multi-objective genetic algorithms, Reliability, Uncertainty, Failure probability, Limit states, Optimization, Robust design, Spread foundations.
- Genetic Algorithm
- Production planning and control
- Casting trend
Open Access Statement
The International Journal of Manufacturing and Production Engineering (ijmpe) is an open-access (OA) publication which provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. All published works will be available to a worldwide audience, free, immediately upon publication. Publication in the journal is subject to payment of an article processing charge (APC). The APC serves to support the journal and ensures that articles are freely accessible online in perpetuity under a Creative Commons licenses.
Publication Ethics Statement
ijmpe fully adhere to Code of Conduct of Publication Ethics (COPE) and to its Best Practice Guidelines. The Editorial Team enforces a rigorous peer-review process with strict ethical policies and standards to ensure the addition of high-quality scientific studies to the field of scholarly publication. In cases where ijmpe becomes aware of ethical issues, it is committed to investigating and taking necessary actions to maintain the integrity of the literature and ensure the safety of research participants. Click here to read more about the Research & Publication virtue ethics
- All the information’s, opinions, and views mentioned here represents the authors and the contributions of the articles.
- Publication of articles, advertisements, or product information does not constitute endorsement or approval by the journal.
- Cannot be help responsible for any error or consequences while using the information updated in this journal.
- Although every effort is done by ijmpe to see that there’s no any inaccurate data, misleading data, opinion or statement within the journal, the data and opinions appearing in the articles are the responsibility of the contributors concerned.