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Machines
Special Issues
Assessing New Trends in Sustainable and Smart Manufacturing
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Assessing New Trends in Sustainable and Smart Manufacturing

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Advanced Manufacturing".

Deadline for manuscript submissions: 31 January 2025 | Viewed by 7058

Special Issue Editors

Prof. Dr. Benoit Eynard

E-Mail Website
Guest Editor
Department of Mechanical Engineering, Université de Technologie de Compiègne, Roberval Laboratory - FRE CNRS 2012, CS 60319, CEDEX, 60203 Compiègne, France
Interests: product lifecycle management; product data exchange; computer-aided X; integrated design; concurrent engineering; collaborative design; production process management; digital manufacture; virtual prototyping; eco-design; lifecycle assessment; sustainable manufacturing
Special Issues, Collections and Topics in MDPI journals
Dr. Paul Refalo

E-Mail Website
Guest Editor
Department of Industrial and Manufacturing Engineering, Faculty of Engineering, University of Malta, Tal-Qroqq, MSD 2080 Msida, Malta
Interests: resource efficiency; sustainable manufacturing; sustainable water treatment
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Operation technology, machinery, manufacturing processes and systems play a very important role in industry. Industry 4.0 is contributing significantly towards the integration of such technologies and systems in smart and sustainable manufacturing, and towards achieving the Sustainable Development Goals. The specification, design, implementation and operation of smart systems have direct impacts on financial, social and environmental sustainability. Moreover, circular and carbon neutral economies require smart production systems which can be assessed and monitored throughout their whole lifecycle and across the entire supply chain. 

Typically, research tends to focus on a number of parameters at a time. Studies generally lack holistic and comprehensive assessments of how proposed systems and processes will impact the environmental and financial pillars throughout their whole lifetime, as well as how they will interact with internal and external social stakeholders such as employees and the general public, respectively. This Special Issue aims to explore the impacts of smart production systems on the three pillars of sustainability. Papers covering one or more of the following areas are sought:

  • Techno-economic assessments of smart and sustainable processes/systems.
  • Life cycle assessments of smart manufacturing processes/systems.
  • Life cycle cost assessments of smart manufacturing processes/systems.
  • Social life cycle assessments of smart manufacturing processes/systems.
  • Resource assessment of smart manufacturing processes/systems.
  • Circular and/or carbon neutral smart manufacturing processes/systems.

Prof. Dr. Benoit Eynard
Dr. Paul Refalo
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. Machines is an international peer-reviewed open access monthly 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.

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (3 papers)

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Research

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15 pages, 6352 KiB  
Article
Current State Analysis of Croatian Manufacturing Industry with Regard to Industry 4.0/5.0
by Marko Mladineo, Luka Celent, Vili Milković and Ivica Veža
Machines 2024, 12(2), 87; https://doi.org/10.3390/machines12020087 - 23 Jan 2024
Cited by 3 | Viewed by 1823
Abstract
It has been more than a decade since the introduction of the Industry 4.0 paradigm. Since then, many issues have been raised in the world: the COVID-19 pandemic, sustainable development goals, and recent dramatic changes in global politics. The global value chains were [...] Read more.
It has been more than a decade since the introduction of the Industry 4.0 paradigm. Since then, many issues have been raised in the world: the COVID-19 pandemic, sustainable development goals, and recent dramatic changes in global politics. The global value chains were broken during the pandemic, and the importance of humans as the most important element of the production system was highlighted. It caused rethinking about current industrial paradigms, including the brand new paradigm of Industry 4.0. More focus has been put on human workers, sustainability, and the resilience of the value chain, so the Industry 4.0 update was presented as Industry 5.0. A specific methodology to evaluate the maturity level of the manufacturing industry with regard to Industry 4.0/5.0 is presented and tested in the Croatian manufacturing industry. The developed methodology is unique since it puts Industry 5.0 in the right context with Industry 4.0. Therefore, the Industry 4.0 index remains the main indicator; however, alignment with three Industry 5.0 aims (human-centricity, sustainability, and resilience) represents three additional indicators. The results of the current state analysis are presented as a case study with a discussion about the results and methodology itself. Full article
(This article belongs to the Special Issue Assessing New Trends in Sustainable and Smart Manufacturing)
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13 pages, 1282 KiB  
Article
Fused Filament Fabrication and Injection Moulding of Plastic Packaging: An Environmental and Financial Comparative Assessment
by Cheryl Marie Bezzina and Paul Refalo
Machines 2023, 11(6), 634; https://doi.org/10.3390/machines11060634 - 7 Jun 2023
Cited by 2 | Viewed by 1676
Abstract
The drive towards smart and sustainable manufacturing is leading companies to opt for environmentally conscious technologies. This study assesses the environmental and financial feasibility of using additive manufacturing, in this case, fused filament fabrication (FFF), instead of injection moulding (IM) to mass-produce cosmetic [...] Read more.
The drive towards smart and sustainable manufacturing is leading companies to opt for environmentally conscious technologies. This study assesses the environmental and financial feasibility of using additive manufacturing, in this case, fused filament fabrication (FFF), instead of injection moulding (IM) to mass-produce cosmetic plastic packaging. Using a life cycle assessment (LCA), the environmental impacts of the raw material production and manufacturing processes were assessed for both technologies. The results showed that using FFF creates a five times greater environmental impact, with printing energy consumption generating 80% of the impact. Using costing models, the cost per product produced using IM and FFF was evaluated, and the models showed that the raw material costs comprise the highest share in both cases. A net present value (NPV) model over twelve years indicated that the FFF NPV was seventeen times higher than that of IM. When testing for quality, the packages produced using IM were superior overall. This study concludes that FFF is more expensive and environmentally impactful when compared to IM. Full article
(This article belongs to the Special Issue Assessing New Trends in Sustainable and Smart Manufacturing)
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Review

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36 pages, 5025 KiB  
Review
Intelligent Approaches for Anomaly Detection in Compressed Air Systems: A Systematic Review
by Jasmine Mallia, Emmanuel Francalanza, Peter Xuereb and Paul Refalo
Machines 2023, 11(7), 750; https://doi.org/10.3390/machines11070750 - 18 Jul 2023
Cited by 4 | Viewed by 2426
Abstract
Inefficiencies within compressed air systems (CASs) call for the integration of Industry 4.0 technologies for financially viable and sustainable operations. A systematic literature review of intelligent approaches within CASs was carried out, in which the research methodology was based on the PRISMA guidelines. [...] Read more.
Inefficiencies within compressed air systems (CASs) call for the integration of Industry 4.0 technologies for financially viable and sustainable operations. A systematic literature review of intelligent approaches within CASs was carried out, in which the research methodology was based on the PRISMA guidelines. The search was carried out on 1 November 2022 within two databases: Scopus and Web of Science. The research methodology resulted in 37 papers eligible for a qualitative and bibliometric analysis based on a set of research questions. These aimed to identify specific characteristics of the selected publications. Thus, the review performed a comprehensive analysis on mathematical approaches, multiple machine learning (ML) methods, the implementation of neural networks (NNs), the development of time-series techniques, comparative analysis, and hybrid techniques. This systematic literature review allowed the comparison of these approaches, while widening the perspective on how such methods can be implemented within CASs for a more intelligent approach. Any limitations or challenges faced were mitigated through an unbiased procedure of involving multiple databases, search terms, and researchers. Therefore, this systematic review resulted in discussions and implications for the definition of future implementations of intelligent approaches that could result in sustainable CASs. Full article
(This article belongs to the Special Issue Assessing New Trends in Sustainable and Smart Manufacturing)
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