AI for Sustainable and Resilient Operations Management
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Management".
Deadline for manuscript submissions: closed (30 November 2025) | Viewed by 797
Special Issue Editors
Interests: operations management; supply chain analytics; operational sustainability; energy efficiency; optimization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Achieving sustainable and resilient operations in a rapidly changing world is a pressing challenge that calls for innovative strategies and technologies. Artificial intelligence (AI) has emerged as a powerful tool to address these challenges, offering unprecedented opportunities for improving resource efficiency, reducing environmental impacts, and enhancing the adaptability of systems to climate and social changes. This Special Issue focuses on the integration of AI in operations management to support sustainability and resilience, emphasizing the development of smart systems and data-driven approaches that align with global climate and sustainability goals.
The scope of this Special Issue spans theoretical advancements, methodological innovations, and empirical studies that explore how AI can transform operations management for sustainability. It invites contributions that delve into AI applications in sustainable production, green supply chains, intelligent digital twins, predictive operations models, and circular economy supply chains. Additionally, this Special Issue encourages research that investigates organizational, societal, and behavioural aspects of AI adoption for sustainable practices.
Research areas may include, but are not limited to, the following:
- AI-driven optimization for sustainable supply chains and logistics.
- Predictive analytics for operations management.
- The role of AI in fostering circular economy and closed-loop systems.
- AI applications in renewable energy systems and grid management.
- Smart decision-making systems for resilient and sustainable supply chains.
- Integration of AI with IoT and digital twins for sustainability.
- Behavioral and organizational impacts of AI on promoting sustainable practices.
- AI-enabled frameworks for assessing and mitigating risks in operations.
- Ethical and governance considerations of using AI in sustainable systems.
- The role of AI in policy-making and planning for resilient cities and communities.
This Special Issue seeks to complement existing literature by focusing on the practical and theoretical integration of AI in sustainability-related challenges, providing actionable insights, innovative methodologies, and a roadmap for future research in smart and resilient operations management.
Dr. S. Mahdi Homayouni
Dr. Reinaldo Gomes
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- AI in operations management
- resilient supply chains
- intelligent digital twins
- smart decision support systems
- AI-driven optimization
- predictive analytics
- green logistics
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