Production Engineering Journal | IJSREAT Peer Reviewed 2026
Production Engineering Journal โ IJSREAT
The International Journal of Scientific Research in Engineering & Technology (IJSREAT) (e-ISSN: 2583-1240) is described as a bi-monthly, international, peer-reviewed, open-access, multidisciplinary online journal covering Science, Engineering, and Technology. For researchers seeking a production engineering journal, IJSREAT provides a broad platform for original research, technical studies, technological innovation, and interdisciplinary engineering contributions.
Production engineering research encompasses manufacturing systems, production processes, automation, robotics, materials, quality improvement, process optimization, sustainability, and digital technologies. IJSREAT's multidisciplinary scope connects production engineering with mechanical engineering, computer science, artificial intelligence, machine learning, IoT, robotics, materials science, and sustainable technologies.
๐ญ Production Engineering Journal Scope
The production engineering journal scope can support original research papers, review articles, and technical notes related to production systems, manufacturing technologies, process improvement, automation, quality management, and emerging engineering applications. IJSREAT states that its wider scope includes mechanical and civil engineering, computer science, AI and machine learning, robotics, IoT, materials science, and sustainable technologies.
- ๐ต Mechanical Engineering โ Manufacturing systems, machine design, thermal engineering, fluid mechanics, and production technologies.
- ๐ข Computer Science โ Industrial software, data analytics, computer vision, cloud systems, and digital engineering.
- ๐ Artificial Intelligence and Machine Learning โ Prediction, anomaly detection, forecasting, and intelligent production systems.
- ๐ฃ Robotics and Automation โ Industrial robotics, automated processes, autonomous systems, and control.
- ๐ด Materials Science โ Advanced materials, nanotechnology, material characterization, and production applications.
- ๐ก Internet of Things โ Connected equipment, industrial sensors, edge computing, and smart monitoring.
โ๏ธ Production Engineering Research Areas
Researchers interested in a production engineering journal can investigate manufacturing and production systems from technological, computational, operational, and sustainability perspectives. Potential research areas include production planning, process optimization, quality control, automation, industrial analytics, resource management, and intelligent manufacturing.
- ๐ง Production planning and process optimization
- ๐ Production data analytics and predictive modelling
- ๐๏ธ Manufacturing systems and process improvement
- ๐ค Industrial robotics and automated production
- ๐ฌ Quality control and automated inspection
- ๐ฆ Production resource and workflow management
- ๐ฑ Sustainable and energy-efficient production
- ๐ก Industrial IoT and connected production systems
๐๏ธ Manufacturing and Production Engineering Research
Manufacturing is a major application area of production engineering, covering process design, production planning, automation, quality improvement, and resource utilization. Researchers can connect manufacturing studies with mechanical engineering, robotics, materials science, artificial intelligence, IoT, and computer science.
- ๐ต Smart manufacturing and intelligent production systems
- ๐ข Process monitoring and optimization
- ๐ Automated quality inspection
- ๐ฃ Production automation and industrial robotics
- ๐ด Manufacturing data analytics
- ๐ก Sustainable manufacturing processes
๐ค Artificial Intelligence and Machine Learning in Production Engineering
Artificial intelligence and machine learning can support production engineering through prediction, anomaly detection, process optimization, quality analysis, forecasting, and intelligent automation. IJSREAT lists Explainable AI, supervised and unsupervised learning, reinforcement learning, federated and edge machine learning, anomaly detection, and forecasting within its stated scope.
Researchers can explore AI applications for predictive maintenance, automated defect detection, production forecasting, intelligent scheduling, process optimization, equipment monitoring, and data-driven manufacturing decisions.
๐ Data Science and Analytics for Production Engineering
Data science provides methods for collecting, processing, analyzing, and visualizing production information. IJSREAT's stated scope includes big data frameworks such as Hadoop and Spark, data visualization, predictive analytics, and data ethics.
- ๐ต Production data collection and processing
- ๐ข Predictive analytics for production systems
- ๐ Data visualization and engineering dashboards
- ๐ฃ Forecasting and anomaly detection
- ๐ด Big data frameworks for industrial applications
๐ก IoT and Smart Production Systems
Internet of Things technologies can connect production machines, sensors, monitoring systems, and industrial equipment. Production engineering research can use IoT for real-time monitoring, predictive maintenance, process analysis, equipment management, and smart production environments.
- ๐ก Industrial IoT and connected production equipment
- ๐ IoT security and encryption protocols
- ๐ Sensor-based production monitoring
- โ๏ธ Edge and fog computing for industrial systems
- ๐ญ Smart factories and connected manufacturing
๐ป Computer Science in Production Engineering Research
Computer science contributes to production engineering through software engineering, artificial intelligence, computer vision, cybersecurity, cloud computing, data analytics, and digital systems. IJSREAT includes these fields in its broader scope, supporting interdisciplinary research between computational methods and production applications.
Potential research topics include computer vision for quality inspection, software systems for production management, cloud-based industrial applications, cybersecurity for connected production equipment, predictive analytics, and intelligent process monitoring.
๐ฌ Materials Science and Production Engineering
Materials selection, processing, characterization, and performance are important considerations in production and manufacturing research. IJSREAT lists Materials Science and Nanotechnology among its multidisciplinary research areas.
- ๐ฌ Advanced engineering materials
- ๐งช Material characterization and testing
- โ๏ธ Manufacturing applications of advanced materials
- ๐ Material performance and production studies
- ๐ฑ Sustainable materials and resource-efficient production
๐ฑ Sustainable Production Engineering Research
Sustainable production engineering can examine energy efficiency, resource utilization, waste reduction, renewable energy integration, and environmentally responsible manufacturing. IJSREAT includes renewable energy systems and sustainable technologies within its stated multidisciplinary scope.
Researchers can combine production engineering with mechanical engineering, materials science, IoT, data science, and computer science to study resource-efficient and sustainable production systems.
๐ Fast Publication and Rapid Peer Review
IJSREAT describes a streamlined publication workflow. According to the supplied journal information, authors may receive an initial acknowledgment within 12 hours, expert review is targeted within 2 days, and decision notification is targeted within 3 days.
Researchers looking for fast publication or rapid publication should understand that these are stated processing targets rather than guaranteed timelines. Actual review and publication duration may vary depending on manuscript quality, reviewer availability, revisions, and editorial decisions.
๐ฐ Low Cost Production Engineering Journal
IJSREAT provides an open-access publication model with article processing charges for accepted manuscripts. Researchers searching for a low cost production engineering journal can review the listed APC categories and should confirm the latest fees, taxes, and DOI information before submission or payment.
| Author Category | DOI Option | Listed APC |
|---|---|---|
| Indian Authors | Without DOI | 1200 INR + 18% GST |
| Indian Authors | With DOI | 1400 INR + 18% GST |
| Authors other than Indian Authors | With DOI | $60 USD |
The APC information reflects the supplied IJSREAT content. Authors should confirm the current article processing charge, applicable GST or taxes, DOI availability, and payment instructions directly with the journal before payment.
๐ Google Scholar and Indexing Information
The supplied IJSREAT information lists Google Scholar and several other indexing or abstracting services, including Mendeley, Semantic Scholar, Dimensions, WorldCAT, SSRN, and other services. Researchers should independently verify current indexing status through the relevant services before relying on an indexing claim.
๐๏ธ UGC CARE Verification for Production Engineering
Researchers evaluating a production engineering journal should independently verify whether the journal currently has any specific UGC CARE recognition or status relevant to their institution and publication requirements. A Google Scholar listing or presence in another database should not be treated as proof of UGC CARE recognition.
Authors should check current official information from the relevant authorities and their institution before relying on any UGC CARE-related requirement or recognition.
๐ Open Access Production Engineering Research
IJSREAT describes itself as an open-access journal. Its stated publication model is intended to make published research available online, supporting access for researchers, academicians, engineering professionals, students, and industry readers.
The multidisciplinary approach can support production engineering studies that combine computer science, artificial intelligence, machine learning, IoT, robotics, cybersecurity, cloud computing, materials science, and sustainable technologies.
๐ก๏ธ Plagiarism Protection and Publication Ethics
IJSREAT states that it uses plagiarism screening and follows publication ethics practices, including adherence to COPE best-practice guidelines. Authors preparing production engineering research should ensure that manuscripts are original, appropriately referenced, ethically prepared, and not simultaneously submitted elsewhere.
- ๐ต Submit original research and acknowledge sources correctly.
- ๐ข Follow applicable ethical and research requirements.
- ๐ Check figures, tables, datasets, and references carefully.
- ๐ฃ Avoid duplicate or simultaneous submissions.
- ๐ด Review the latest author and publication guidelines before submission.
๐ Advanced Editorial Management System
The supplied IJSREAT information describes an editorial management system intended to help authors manage manuscript submissions and follow the publication workflow.
- ๐ต Author Dashboard: Personalized submission history and status updates.
- ๐ข Real-time Tracking: Follow manuscript progress through different stages.
- ๐ Automated Documents: Generation of acceptance letters and copyright forms.
- ๐ฃ Easy Downloads: Access certificates and published papers.
๐ฌ Interdisciplinary Production Engineering Research
Modern production engineering research intersects with multiple engineering and technology disciplines. Researchers can combine production engineering with mechanical engineering, materials science, robotics, AI, machine learning, data science, IoT, cybersecurity, cloud computing, computer vision, and renewable energy.
This interdisciplinary approach can support studies involving intelligent production, automated inspection, predictive maintenance, process optimization, production analytics, connected manufacturing systems, sustainable operations, and emerging digital technologies.
๐ Submit Production Engineering Research
Researchers preparing a manuscript for a production engineering journal can first review the stated scope, prepare an original research paper or review article, and submit the manuscript through the journal's online editorial management system.
For publication-related queries, authors can contact the IJSREAT editorial office at editorinchief@ijsreat.com.
Online Submission: IJSREAT Online Editorial Submission System
โ Production Engineering Journal Submission Checklist
- ๐ต Confirm that the manuscript fits the production engineering and broader IJSREAT scope.
- ๐ข Prepare an original research paper, review article, or technical note.
- ๐ Review formatting, figures, tables, references, and supporting information.
- ๐ฃ Check plagiarism and publication ethics requirements.
- ๐ด Confirm the latest APC, DOI details, and applicable taxes before payment.
- ๐ก Independently verify Google Scholar, UGC CARE, and other indexing or recognition information when relevant.
- ๐ต Submit the manuscript through the online editorial system.
- ๐ข Monitor the submission and respond to editorial or reviewer requests when required.
Note: Journal features, publication timelines, APCs, indexing information, and recognition details presented here are based on the supplied IJSREAT information. Authors should verify the latest official details before submitting a manuscript or making any payment.