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Smart Technologies Toward Sustainable Eco-Friendly Industry

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Environmental Sustainability and Applications".

Deadline for manuscript submissions: 13 January 2026 | Viewed by 727

Special Issue Editors


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Guest Editor
Management, Information and Production Engineering, University of Bergamo, 24044 Dalmine, BG, Italy
Interests: sustainable design; machine learning; image processing; manufacturing process selection; additive manufacturing

Special Issue Information

Dear Colleagues,

Smart technologies boost efficiency, reduce environmental impact, and support sustainability. However, challenges like high costs, energy consumption, data availability, and labelling issues hinder their implementation in eco-friendly industries.

The literature offers several applications, including machine learning, patent analysis, systematic innovation methods, life cycle assessment, generative artificial intelligence, and designs for additive manufacturing to address challenges and provide robust support for sustainable, eco-friendly industries. One of the significant limitations of these approaches is the integration and real-time applicability of smart technologies in sustainable manufacturing.

This Special Issue aims to collect theoretical and practical articles that establish connections between various eco-friendly support tools, creating a more integrated and structured approach to support sustainable and eco-friendly solutions. Thus, this collection invites research contributions focusing on, but not limited to, the following areas:

  • AI and machine learning applications for improving sustainability in manufacturing.
  • Failure mode and effect analysis (FMEA) to support sustainable and eco-friendly manufacturing.
  • Life cycle assessment (LCA) and prospective LCA to assess the impacts of new and emerging technologies.
  • The use of artificial intelligence and sources of technical knowledge sources, such as patents, to support sustainable innovative design through technological forecasting.

Dr. Christian Spreafico
Dr. Baris Ördek
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

  • machine learning
  • FMEA
  • LCA
  • prospective LCA
  • patent analysis

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Published Papers (1 paper)

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Research

22 pages, 1268 KiB  
Article
Wardrobe Management Apps and Their Unintended Benefits for Fashion Sustainability and Well-Being: Insights from User Reviews
by Gigi Jiang and Lisa Macintyre
Sustainability 2025, 17(9), 4159; https://doi.org/10.3390/su17094159 - 4 May 2025
Viewed by 579
Abstract
Global clothing production and waste continues to increase while garment utilisation is decreasing. Many consumers wear only a fraction of the clothing they own, often forgetting or overlooking items already in their wardrobes. This disconnection from existing garments encourages unnecessary purchases and contributes [...] Read more.
Global clothing production and waste continues to increase while garment utilisation is decreasing. Many consumers wear only a fraction of the clothing they own, often forgetting or overlooking items already in their wardrobes. This disconnection from existing garments encourages unnecessary purchases and contributes to the environmental and psychological burden of fashion overconsumption. The purpose of this study was to explore the role of wardrobe management apps (WMAs) and their potential for reducing fashion overconsumption. This paper has two core aims: first, to assess how WMAs contribute to sustainability through organisation, extended use, and behavioural change, and second, to examine their emotional and practical benefits for users. A content analysis of 27 WMAs was conducted alongside a thematic analysis of all 5953 user reviews from Apple and Google Play stores. Our analysis showed that 470 users reported behavioural shifts related to reduced overconsumption and increased garment utilisation, while a further 210 users described psychological benefits such as improved mental clarity and reduced anxiety. These results demonstrate the potential of WMAs to support more sustainable fashion habits and enhanced consumer well-being, offering a digital means to promote responsible consumption and align with the UN Sustainable Development Goals, especially SDG 12. Full article
(This article belongs to the Special Issue Smart Technologies Toward Sustainable Eco-Friendly Industry)
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