Transforming End-of-Life Product Management: Leveraging Big Data, Deep Learning, and Sustainable Practices
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Waste and Recycling".
Deadline for manuscript submissions: 5 September 2025 | Viewed by 80
Special Issue Editors
Interests: operations research (OR); decision-making; supply chain optimization; waste supply chain management; end-of-life vehicles management
Special Issues, Collections and Topics in MDPI journals
Interests: hydrogen energy and its applications; engine performance; emission reduction strategies; combustion characteristics; emissions of alternative fuels
Special Issue Information
Dear Colleagues,
Effective end-of-life (EoL) product management is crucial for sustainability and advancing the circular economy. Traditional EoL practices often lead to inefficient resource use and environmental harm. Integrating big data and deep learning technologies can significantly enhance these processes by improving material sorting, recycling efficiency, and resource recovery. For instance, the Ellen MacArthur Foundation (2020) highlights that advanced sorting technologies can substantially increase material recovery rates. Similarly, the European Commission (2022) emphasizes that sustainable manufacturing practices can reduce environmental footprints, underscoring the need for technological integration.
The Special Issue "Transforming End-of-Life Product Management: Leveraging Big Data, Deep Learning, and Sustainable Practices" seeks research on how these technologies can improve the sustainability and efficiency of EoL management. It invites submissions that combine theoretical insights with practical applications to revolutionize traditional EoL processes, supporting the circular economy. Contributions such as original research, review articles, and case studies are welcome for submission to Sustainability by 5 September 2025.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Applications of big data for optimizing recycling processes;
- Predictive modeling for EoL product flows and waste management;
- Data-driven decision-making in EoL product lifecycle assessment;
- Enhancing recycling accuracy through machine learning techniques;
- Circular economy models in product design and lifecycle management;
- Synergies between big data, AI, and sustainable practices in EoL management;
- Case studies on successful technology integration in EoL processes;
- Challenges and opportunities in adopting digital technologies for EoL management;
- Economic analysis of technology-driven EoL management strategies;
- Incentives for adopting advanced technologies in waste management;
- LCA studies focusing on the integration of big data and AI in EoL management;
- Comparative environmental impacts of traditional versus tech-driven EoL processes;
- Methodologies for assessing the sustainability of EoL technologies.
We look forward to receiving your contributions.
Dr. Selman Karagöz
Dr. Yasin Karagöz
Dr. Charli Sitinjak
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 100 words) can be sent to the Editorial Office for announcement on this website.
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
- end-of-life (EoL) management
- big data analytics
- deep learning
- circular economy
- life cycle assessment (LSA)
- material recovery
- sustainable practices
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