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Innovative Technologies for Sustainable Industrial Systems

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

Deadline for manuscript submissions: 30 April 2026 | Viewed by 603

Special Issue Editors


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Guest Editor
Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, 09123 Cagliari, Italy
Interests: energy performance of manufacturing systems; risk management and occupational safety; reliability and maintenance modeling; Industry 4.0 and digitalization; machine learning
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, 09123 Cagliari, Italy
Interests: digital twins; machine learning; Internet of Things (IoT); predictive monitoring
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, 09123 Cagliari, Italy
Interests: renewable energy; digital twin; nanoparticles and simulation studies
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The transition to sustainable industrial systems is driven by digitalization, smart manufacturing, and advanced analytics. Emerging technologies such as Digital Twins, artificial intelligence (AI), machine learning (ML), additive manufacturing, and blockchain are transforming industrial processes, enhancing efficiency, and promoting sustainability. At the same time, Circular Economy principles, energy optimization, and sustainable logistics play a crucial role in reducing environmental impacts and improving resilience.

This Special Issue aims to explore cutting-edge innovations that enable sustainability in industrial systems. We welcome contributions on technological advancements, quantitative methods, and practical implementations that address industrial sustainability challenges. 

Prof. Dr. Pier Francesco Orrù
Dr. Tsega Yenew Melesse
Dr. Mohamed Shameer Peer Mohamed
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

  • digital twins
  • artificial intelligence and machine learning
  • circular economy
  • enabling technologies
  • additive manufacturing
  • energy optimization
  • Industry 5.0 and human-centric technologies
  • blockchain
  • quantitative methods for industrial sustainability
  • sustainable logistics and supply chain management

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Published Papers (1 paper)

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Research

31 pages, 3974 KB  
Article
An Integrated Approach to the Development and Implementation of New Technological Solutions
by Dariusz Plinta and Katarzyna Radwan
Sustainability 2025, 17(21), 9434; https://doi.org/10.3390/su17219434 - 23 Oct 2025
Viewed by 228
Abstract
Dynamic technological changes and the variability of market requirements pose significant challenges for modern manufacturing companies in the effective development and implementation of new technological solutions. The aim of the research was to develop an integrated approach covering all key stages of implementation—from [...] Read more.
Dynamic technological changes and the variability of market requirements pose significant challenges for modern manufacturing companies in the effective development and implementation of new technological solutions. The aim of the research was to develop an integrated approach covering all key stages of implementation—from formulating technological solutions, through selecting and evaluating variants, to preparing and managing production processes—under the conditions of a medium-sized manufacturing company specializing in the batch production of steel constructions. The analysis was based on an interdisciplinary approach, combining methods of creative design of new technological solutions, including Blue Ocean Strategy, value proposition design, and QFD methodology, with analytical approaches that include multi-criteria evaluation of solution variants, technical preparation of production, as well as the organization and management of production processes in modified organizational conditions. This approach enabled a comprehensive assessment of the developed solutions, taking into account both their operational potential and practical feasibility in realistic implementation conditions, through the use of case studies and simulations to validate the results. The results of the research indicate that integrating methods for creating new solutions with analytical assessment and simulation tools leads to a more precise and data-driven approach to process design, enabling better decision-making based on thorough analysis and predictive modeling. Furthermore, this approach allows for a significant reduction in the risk of implementation failure through early identification of potential problems. The conclusion of the study confirms that a comprehensive and interdisciplinary approach to the implementation of new technologies ensures better alignment with customer demands, reduces production downtime, and enhances product optimization and resource utilization, which are critical factors in building a sustainable competitive advantage for manufacturing companies. The proposed approach enables more deliberate design and organization of manufacturing processes, supporting their flexible adaptation to changing market and technological conditions. Full article
(This article belongs to the Special Issue Innovative Technologies for Sustainable Industrial Systems)
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