About the Journal

The International Journal of Artificial Intelligence and Green Manufacturing is a leading international, peer-reviewed publication dedicated to advancing scholarly research at the intersection of sustainable manufacturing and artificial intelligence. Our journal provides a comprehensive forum for researchers, industry experts, and policymakers to share innovative ideas, cutting-edge methodologies, and practical solutions aimed at transforming traditional manufacturing processes into eco-friendly, efficient, and intelligent systems.

Our mission is to bridge the gap between traditional manufacturing practices and emerging AI technologies by fostering an interdisciplinary dialogue that addresses critical global challenges such as energy optimization, resource conservation, and environmental protection. We publish a diverse range of contributions including original research articles, in-depth review papers, and detailed case studies that cover topics such as:

  • Sustainable Production Processes: Innovations in reducing waste, lowering energy consumption, and improving the overall efficiency of manufacturing systems.
  • AI-Driven Manufacturing Optimization: Development and application of machine learning algorithms, data analytics, and automation technologies to enhance production processes.
  • Green Supply Chain Management: Strategies for integrating sustainability into logistics, procurement, and distribution networks.
  • Environmental Monitoring and Control: Advanced technologies and methodologies for monitoring environmental parameters and mitigating industrial impacts on the environment.
  • Smart Industrial Systems: Implementation of IoT and AI to create adaptive, self-regulating production environments.

To ensure the highest standards of academic excellence, our journal employs a rigorous double-blind peer review process. Each submission is carefully evaluated by leading experts in the fields of artificial intelligence  and green manufacturing, ensuring that published works are of outstanding quality and relevance. Our distinguished editorial board, comprising internationally recognized scholars and industry practitioners, plays a pivotal role in maintaining the integrity and scholarly merit of the journal.

In line with our commitment to open science, the International Journal of Artificial Intelligence and Green Manufacturing operates on a fully open access model. All published articles are made freely available online under the Creative Commons Attribution (CC BY) license. This approach not only facilitates broad dissemination and rapid uptake of research findings but also encourages the collaborative exchange of ideas across the global research community.

We are equally committed to ethical publishing practices. Our policies on copyright, conflict of interest, and sponsorship transparency are designed to uphold the integrity of the scholarly record. Authors retain the copyright to their work while granting the journal a license to publish and distribute their research, ensuring that intellectual contributions are both protected and widely accessible.

Furthermore, recognizing the importance of long-term access to scholarly work, our journal is integrated with established archival systems such as LOCKSS and CLOCKSS. This guarantees that our content remains permanently accessible and safeguarded for future generations of researchers.

Over the years, the International Journal of Artificial Intelligence  and Green Manufacturing has earned a reputation as an essential resource for those engaged in the pursuit of sustainable industrial innovation. We invite submissions from all those dedicated to advancing the frontiers of artificial intelligence, and  green technology and we look forward to fostering a dynamic and impactful community of scholars and practitioners dedicated to a sustainable, intelligent future.

Aims of Publication

The International Journal of Artificial Intelligence and Green Manufacturing (IJAIGM) is an international, peer-reviewed, open access journal dedicated to advancing the theory, methods, and applications of artificial intelligence in sustainable and green manufacturing systems. The journal aims to provide an interdisciplinary forum for researchers, engineers, industrial practitioners, and policy-oriented scholars to publish high-quality original research, review articles, and case studies that integrate intelligent technologies with environmentally responsible manufacturing practices.

IJAIGM seeks to promote innovative research that enhances manufacturing intelligence, operational efficiency, resource utilization, energy performance, environmental sustainability, and circular economy implementation across the product life cycle. The journal particularly encourages studies that bridge academic advances and industrial applications, and that contribute to the development of smart, low-carbon, resilient, and sustainable manufacturing ecosystems.

Scope of Publication

The journal welcomes submissions related to, but not limited to, the following topics:

  • Artificial intelligence methods for manufacturing systems
  • Intelligent optimization, scheduling, planning, and decision-making in production and operations
  • Smart manufacturing, digital factories, and industrial automation
  • Green manufacturing, low-carbon production, and sustainable process design
  • Circular economy, remanufacturing, recycling, reuse, and disassembly systems
  • Human-robot collaboration and intelligent robotic systems in manufacturing
  • Digital twins, cyber-physical production systems, and Industrial Internet of Things (IIoT)
  • Machine learning, deep learning, reinforcement learning, and large language model applications in industrial environments
  • Predictive maintenance, fault diagnosis, quality control, and process monitoring
  • Energy-efficient manufacturing and resource optimization
  • Sustainable supply chains, logistics, and production networks
  • Data-driven modelling, simulation, and decision support for manufacturing sustainability
  • Life-cycle assessment, environmental impact analysis, and sustainability evaluation in industrial systems
  • Emerging intelligent technologies for green transformation in manufacturing and related industrial sectors

Readership

The journal is intended for researchers, university faculty, engineers, industrial practitioners, managers, policy analysts, graduate students, and professionals working in artificial intelligence, intelligent manufacturing, green manufacturing, sustainable production, industrial automation, remanufacturing, circular economy, and related fields.

Publication Frequency

IJAIGM is published on a quarterly basis, with four issues released each year.