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Achieving Sustainability in New Product Development and Supply Chain

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Management".

Deadline for manuscript submissions: 12 May 2026 | Viewed by 539

Special Issue Editor


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Guest Editor
Department of Design Engineering and Robotics, Technical University of Cluj-Napoca, Cluj-Napoca, Romania
Interests: quality engineering and management; low-carbon production; digital transformation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Special Issue will provide the opportunity to disseminate and discuss recent developments in the field of sustainability in product development and supply chains, key stages in establishing a mutually beneficial relationship between the industrial sector and the natural and social environment. The focus will be on the intersection of emerging technologies such as AI, Digital Twins and Internet of Things and more human- and environmental-centric approaches to product development and supply chain management.

Existing literature in the field that contains an in-depth understanding of the complexities of the production sector is still limited, and there are competing interpretations in various schools of thought. By providing space for case studies and concrete applications, while at the same time critically analyzing the benefits and drawbacks of various models, this Special Issue will enable academics and practitioners to advance the sustainability impact of their work.

Within this context, this Issue aims to analyze the relationship between the concept of sustainability and related frameworks that strive to achieve complementary goals such as circular economy, ESG, low carbon/net zero production, etc. Establishing synergies and sharing good practices is more important than ever, as complex transformations are taking place within the world economy and its various component societies.

Prof. Dr. Mihai Dragomir
Guest Editor

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

  • sustainable product development
  • sustainable supply chains
  • human-centered engineering

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Published Papers (1 paper)

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Research

25 pages, 3532 KB  
Article
Sustainable Design and Lifecycle Prediction of Crusher Blades Through a Digital Replica-Based Predictive Prototyping Framework and Data-Efficient Machine Learning
by Hilmi Saygin Sucuoglu, Serra Aksoy, Pinar Demircioglu and Ismail Bogrekci
Sustainability 2025, 17(16), 7543; https://doi.org/10.3390/su17167543 - 21 Aug 2025
Viewed by 378
Abstract
Sustainable product development demands components that last longer, consume less energy, and can be refurbished within circular supply chains. This study introduces a digital replica-based predictive prototyping workflow for industrial crusher blades that meets these goals. Six commercially used blade geometries (A–F) were [...] Read more.
Sustainable product development demands components that last longer, consume less energy, and can be refurbished within circular supply chains. This study introduces a digital replica-based predictive prototyping workflow for industrial crusher blades that meets these goals. Six commercially used blade geometries (A–F) were recreated as high-fidelity finite-element models and subjected to an identical 5 kN cutting load. Comparative simulations revealed that a triple-edged hooked profile (Blade A) reduced peak von Mises stress by 53% and total deformation by 71% compared with a conventional flat blade, indicating lower drive-motor power and slower wear. To enable fast virtual prototyping and condition-based maintenance, deformation was subsequently predicted using a data-efficient machine-learning model. Multi-view image augmentation enlarged the experimental dataset from 6 to 60 samples, and an XGBoost regressor, trained on computer-vision geometry features and engineering parameters, achieved R2 = 0.996 and MAE = 0.005 mm in five-fold cross-validation. Feature-importance analysis highlighted applied stress, safety factor, and edge design as the dominant predictors. The integrated method reduces development cycles, reduces material loss via iteration, extends the life of blades, and facilitates refurbishment decisions, providing a foundation for future integration into digital twin systems to support sustainable product development and predictive maintenance in heavy-duty manufacturing. Full article
(This article belongs to the Special Issue Achieving Sustainability in New Product Development and Supply Chain)
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