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Innovative Circular Economy Pathways and Practices Driving Sustainable Development

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".

Deadline for manuscript submissions: 31 August 2026 | Viewed by 1005

Special Issue Editors


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Guest Editor
Faculty of Science and Engineering, Aachen-Maastricht Institute for Biobased Materials, Maastricht University (Netherlands), Maastricht, The Netherlands
Interests: life cycle assessment; sustainability; techno-economic analysis

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Guest Editor
Department of Technology & Operations Management, Rotterdam School of Management, Erasmus University, Rotterdam, The Netherlands
Interests: supply chain management; circular economy; operations management

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Guest Editor
Department of Production and Industrial Engineering, Punjab Engineering College, Chandigarh, India
Interests: industrial engineering; supply chain management; quality management; operations research; system optimization; corporate social responsibility; waste management; sustainable system framework development; performance measurement systems

Special Issue Information

Dear Colleagues,

The transition to a circular economy (CE) is essential for driving sustainable development, reducing environmental impact, and optimizing resource utilization, and this Special Issue will explore the innovative pathways and best practices that facilitate circularity across industries, supply chains, and business models. We invite submissions of interdisciplinary research contributions that examine the technological advancements, policy frameworks, digitalization, and behavioral shifts promoting circular strategies. Key topics include sustainable production and consumption, reverse logistics, closed-loop supply chains, waste valorization, and the role of digital platforms in enhancing circular business models. By integrating perspectives from engineering, management, and economics, this Special Issue aims to provide insights into effective circular economy implementations that contribute to sustainability goals, net-zero targets, and resilient economic systems.

Dr. Singh Shweta
Dr. Janpriy Sharma
Dr. Mohit S. Tyagi
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

  • circular economy
  • sustainable development
  • resource efficiency
  • circular business models
  • waste valorization
  • reverse logistics
  • digital platforms for circularity
  • closed-loop supply chains
  • policy and governance for CE
  • industrial symbiosis

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Published Papers (1 paper)

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Research

27 pages, 1906 KB  
Article
Do Artificial Intelligence-Enabled Digital Strategies Enhance the Circular Supply Chain? An Automotive Case
by Mohit Sharma, Mohit Tyagi and Ravinder S. Walia
Sustainability 2026, 18(7), 3176; https://doi.org/10.3390/su18073176 - 24 Mar 2026
Viewed by 404
Abstract
The adoption of circular economy (CE) practices and artificial intelligence (AI) in the supply chain (SC) has become extremely significant in manufacturing organizations. The CE seeks to facilitate sustainable growth by managing the flow of materials and energy within closed-loop systems. The CE [...] Read more.
The adoption of circular economy (CE) practices and artificial intelligence (AI) in the supply chain (SC) has become extremely significant in manufacturing organizations. The CE seeks to facilitate sustainable growth by managing the flow of materials and energy within closed-loop systems. The CE has resulted in the development of sustainable business models. AI capabilities transform work activities, data flows, and organizational processes. Therefore, the present study aims to develop a framework to improve circular supply chain (CSC) adoption in the automobile manufacturing sector by identifying and analyzing CE practices and AI-enabled digital strategies. The proposed framework was analyzed by employing a hybrid approach of Prioritized Weighted Average–Criteria Importance Through Intercriteria Correlation–Preference Ranking Organization Method for Enrichment Evaluations-II (PWA-CRITIC-PROMETHEE-II) under an Interval-Valued Fermatean Fuzzy (IVFF) environment. IVFF-CRITIC was employed to determine the CE practices’ weights, while IVFF-PROMETHEE-II was utilized to establish the relative index of AI-enabled digital strategies to enhance the CSC adoption. The key findings of the current study indicate that “AI-enabled infrastructure configuration for circular economy adoption in the supply chain”, “AI-integrated equipment to facilitate adaptability and mass personalization”, and “Robotics and AI-driven manufacturing and material reclamation” are the most significant AI-based digital strategies that support CE practices to enhance the adoption of a CSC and encourage case example manufacturing organizations to align their operations with AI and CE. Moreover, the outcomes of the study will deliver a comprehensive evaluation of CE practices and AI-enabled digital strategies for SC managers, based on the relative indexing obtained through the implementation of the hybrid approach. Full article
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