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.

๐Ÿญ 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.

  • ๐Ÿ”ต Mechanical Engineering โ€“ Manufacturing systems, machine design, thermal engineering, fluid mechanics, and production technologies.
  • ๐ŸŸข Computer Science โ€“ Industrial software, data analytics, computer vision, cloud systems, and digital engineering.
  • ๐ŸŸ  Artificial Intelligence and Machine Learning โ€“ Prediction, anomaly detection, forecasting, and intelligent production systems.
  • ๐ŸŸฃ Robotics and Automation โ€“ Industrial robotics, automated processes, autonomous systems, and control.
  • ๐Ÿ”ด Materials Science โ€“ Advanced materials, nanotechnology, material characterization, and production applications.
  • ๐ŸŸก Internet of Things โ€“ Connected equipment, industrial sensors, edge computing, and smart monitoring.

โš™๏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.

  • ๐Ÿ”ง Production planning and process optimization
  • ๐Ÿ“Š Production data analytics and predictive modelling
  • ๐Ÿ—๏ธ Manufacturing systems and process improvement
  • ๐Ÿค– Industrial robotics and automated production
  • ๐Ÿ”ฌ Quality control and automated inspection
  • ๐Ÿ“ฆ Production resource and workflow management
  • ๐ŸŒฑ Sustainable and energy-efficient production
  • ๐Ÿ“ก Industrial IoT and connected production systems

๐Ÿ—๏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.

  • ๐Ÿ”ต Smart manufacturing and intelligent production systems
  • ๐ŸŸข Process monitoring and optimization
  • ๐ŸŸ  Automated quality inspection
  • ๐ŸŸฃ Production automation and industrial robotics
  • ๐Ÿ”ด Manufacturing data analytics
  • ๐ŸŸก Sustainable manufacturing processes

๐Ÿค– 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.

๐Ÿ“Š 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.

  • ๐Ÿ”ต Production data collection and processing
  • ๐ŸŸข Predictive analytics for production systems
  • ๐ŸŸ  Data visualization and engineering dashboards
  • ๐ŸŸฃ Forecasting and anomaly detection
  • ๐Ÿ”ด Big data frameworks for industrial applications

๐Ÿ“ก 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.

  • ๐Ÿ“ก Industrial IoT and connected production equipment
  • ๐Ÿ” IoT security and encryption protocols
  • ๐Ÿ“ˆ Sensor-based production monitoring
  • โ˜๏ธ Edge and fog computing for industrial systems
  • ๐Ÿญ Smart factories and connected manufacturing

๐Ÿ’ป 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.

๐Ÿ”ฌ 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.

  • ๐Ÿ”ฌ Advanced engineering materials
  • ๐Ÿงช Material characterization and testing
  • โš™๏ธ Manufacturing applications of advanced materials
  • ๐Ÿ“ Material performance and production studies
  • ๐ŸŒฑ Sustainable materials and resource-efficient production

๐ŸŒฑ 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.

๐Ÿš€ 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.

๐Ÿ’ฐ 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.

๐Ÿ”Ž 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.

๐Ÿ”ต Google Scholar
๐ŸŸข Scribd
๐ŸŸ  ISSUU
๐ŸŸฃ Elsevier Mendeley
๐Ÿ”ด EuroPub
๐ŸŸก DRJI
๐Ÿ”ต Academic Keys
๐ŸŸข Edocr
๐ŸŸ  I2OR
๐ŸŸฃ PDFSR
๐Ÿ”ด ResearchBIB
๐ŸŸก SSRN
๐Ÿ”ต WorldCAT
๐ŸŸข Ex Libris
๐ŸŸ  Research ID
๐ŸŸฃ Semantic Scholar
๐Ÿ”ด Dimensions
๐ŸŸก PlumX

๐Ÿ›๏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.

๐ŸŒ 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.

๐Ÿ›ก๏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.

  • ๐Ÿ”ต Submit original research and acknowledge sources correctly.
  • ๐ŸŸข Follow applicable ethical and research requirements.
  • ๐ŸŸ  Check figures, tables, datasets, and references carefully.
  • ๐ŸŸฃ Avoid duplicate or simultaneous submissions.
  • ๐Ÿ”ด Review the latest author and publication guidelines before submission.

๐Ÿ“‹ 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.

  • ๐Ÿ”ต Author Dashboard: Personalized submission history and status updates.
  • ๐ŸŸข Real-time Tracking: Follow manuscript progress through different stages.
  • ๐ŸŸ  Automated Documents: Generation of acceptance letters and copyright forms.
  • ๐ŸŸฃ Easy Downloads: Access certificates and published papers.

๐Ÿ”ฌ 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.

๐Ÿ“ 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

โœ… Production Engineering Journal Submission Checklist

  1. ๐Ÿ”ต Confirm that the manuscript fits the production engineering and broader IJSREAT scope.
  2. ๐ŸŸข Prepare an original research paper, review article, or technical note.
  3. ๐ŸŸ  Review formatting, figures, tables, references, and supporting information.
  4. ๐ŸŸฃ Check plagiarism and publication ethics requirements.
  5. ๐Ÿ”ด Confirm the latest APC, DOI details, and applicable taxes before payment.
  6. ๐ŸŸก Independently verify Google Scholar, UGC CARE, and other indexing or recognition information when relevant.
  7. ๐Ÿ”ต Submit the manuscript through the online editorial system.
  8. ๐ŸŸข 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.

No blogs found matching your search.