sustainability-logo

Journal Browser

Journal Browser

Advance in Industry 4.0 and Smart Manufacturing Towards Sustainability

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".

Deadline for manuscript submissions: 31 October 2026 | Viewed by 948

Editors


E-Mail Website
Guest Editor
Department of Industrial Engineering and Management, International Hellenic University, 57400 Thessaloniki, Greece
Interests: manufacturing technologies; machining processes; advanced materials CAD/CAM/CAE/CNC; additive manufacturing; materials testing and characterization and digital twin
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Creative Design and Clothing, International Hellenic University, 611 00 Thessaloniki, Greece
Interests: sustainability; digital design; 3D modelling; additive manufacturing; sustainable apparel systems; biobased materials; VR/AR for design; material-driven and regenerative design

Special Issue Information

Dear Colleagues,

This Special Issue explores how Industry 4.0 and digital technologies (IoT/sensing, CNC machining, CAM/toolpath optimization, AI/ML, digital twins, robotics, and additive manufacturing) can deliver measurable environmental and socioeconomic gains, rather than just new capabilities. With this Special Issue we seek to attract cross-sector studies, including those focusing on underrepresented areas, such as the apparel industry, that connect circular design with real-time monitoring, traceability, repair/on-demand models, and human-centered automation. The aim is to gather together work on practical methods that define and track sustainability, energy use, waste, emissions, water utilization, material circularity, and labor, and that show region-tailored pathways to adoption.

In the literature, technological advances are often discussed as being distinct from impact accounting. Building on policy frameworks and on regional evidence (e.g., short product lifecycles, linear chains, weak waste systems, and greenwashing risks), this Special Issue seeks contributions that couple Industry 4.0 interventions with rigorous LCA/S-LCA, transparent metrics, and governance insights. The goal is a concise evidence base that others can replicate to scale smart, genuinely sustainable manufacturing.

Prof. Dr. Apostolos Korlos
Dr. Maria Zoumaki
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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized 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

  • Industry 4.0
  • smart manufacturing
  • sustainability metrics
  • circular economy
  • IoT sensing & traceability
  • regional lens
  • policy–practice gap
  • socio-economic challenges
  • additive manufacturing (3D printing)
  • CNC machining
  • life cycle assessment (LCA)

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

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

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

26 pages, 557 KB  
Article
Artificial Intelligence, Green Technology Innovation, and Industrial Modernization: Evidence from China
by Lan Wu, Junrong Qian and Jia Liu
Sustainability 2026, 18(13), 6698; https://doi.org/10.3390/su18136698 - 2 Jul 2026
Viewed by 209
Abstract
Industrial modernization is widely regarded as an important pathway toward high-quality and sustainable economic development. Using panel data from 30 provinces in mainland China from 2012 to 2023, this study examines the relationship between artificial intelligence (AI) and industrial modernization. AI is proxied [...] Read more.
Industrial modernization is widely regarded as an important pathway toward high-quality and sustainable economic development. Using panel data from 30 provinces in mainland China from 2012 to 2023, this study examines the relationship between artificial intelligence (AI) and industrial modernization. AI is proxied by industrial robot density, while industrial modernization is evaluated using a composite index covering supportiveness, substantiveness, innovativeness, greenness, openness, and integration. Fixed-effects models are employed, alongside a series of robustness tests and instrumental variable estimation. The results indicate that AI, as captured by industrial robot density, is positively associated with industrial modernization. This relationship remains robust after adopting alternative measures, introducing lagged explanatory variables and additional controls, applying winsorization, adjusting the sample, and addressing potential endogeneity. Heterogeneity analysis shows that the association is stronger in eastern provinces and in regions with higher levels of AI infrastructure and technical talent. Mechanism analysis suggests that green technology innovation is an important channel through which AI is associated with industrial modernization. In addition, software industry development strengthens the positive association between AI and industrial modernization, highlighting the importance of complementary digital capabilities in supporting industrial transformation. These findings contribute to understanding how AI adoption, represented by industrial robot deployment, is related to industrial modernization and suggest that policies promoting AI-driven industrial transformation should be accompanied by investments in green innovation, software industry development, digital infrastructure, and technical talent cultivation. Full article
Show Figures

Figure 1

27 pages, 2051 KB  
Article
How Digital Transformation Enables Organizational Agility for Sustainable Manufacturing: A Longitudinal Single-Case Study of CATL
by Xizi Sun and Baobao Dong
Sustainability 2026, 18(13), 6617; https://doi.org/10.3390/su18136617 - 30 Jun 2026
Viewed by 323
Abstract
Digital transformation has become a critical pathway for manufacturing firms seeking to improve responsiveness, resource efficiency, and long-term sustainability. However, existing studies have paid limited attention to how digital transformation strategies generate organizational agility across different stages of sustainable manufacturing transformation. Drawing on [...] Read more.
Digital transformation has become a critical pathway for manufacturing firms seeking to improve responsiveness, resource efficiency, and long-term sustainability. However, existing studies have paid limited attention to how digital transformation strategies generate organizational agility across different stages of sustainable manufacturing transformation. Drawing on dynamic capability theory, this study develops a stage-contingent Strategy–Ambidexterity–Agility framework and conducts a longitudinal single-case study of Contemporary Amperex Technology Co., Limited (CATL) from 2011 to 2023. The findings show that organizational agility develops cumulatively through three transformation stages. In the initial stage, a lean-oriented strategy supports balanced ambidexterity and cultivates customer agility through production optimization. In the development stage, an enhancement-oriented strategy enables exploitation-dominant combined ambidexterity and builds market agility through cross-functional integration and closed-loop business logic. In the industry-leading stage, a leap-oriented strategy supports exploration-dominant combined ambidexterity and fosters value chain agility through ecosystem orchestration, intelligent operations, and circular value creation. This study contributes to the literature on digital transformation and sustainable manufacturing by showing how stage-contingent digital strategies shape ambidexterity configurations, generate layered agility capabilities, and support sustainability-oriented manufacturing outcomes. Full article
Show Figures

Figure 1

Back to TopTop