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Innovative Quality Engineering for Industry 4.0 and Sustainable Development

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 July 2025 | Viewed by 1261

Special Issue Editors

Macquarie Business School, Macquarie University, Sydney, NSW 2109, Australia
Interests: operations; logistics and supply chain; digital transformation; supply chain finance; sustainable development; cross-border e-commerce
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Guest Editor
College of Economics and Management, Beijing University of Technology, Beijing, China
Interests: Industry 4.0; quality engineering; sustainable development; AI in industry

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Guest Editor
Stephen Jarislowsky, Department of Economics, Memorial University of Newfoundland, St. John's, NL, Canada
Interests: innovation and sustainability research perspectives

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Guest Editor
School of Economics and Management, Wenzhou University of Technology, Wenzhou, China
Interests: big data analytics; data mining

Special Issue Information

Dear Colleagues,

Introduction:

We are witnessing a significant transformation across industries with the rise of Industry 4.0 technologies. Quality engineering is evolving in tandem with these advancements, particularly as industries strive to meet sustainability goals. This intersection of Industry 4.0 and sustainability has become a focal point for enhancing operational efficiency, reducing environmental impact, and meeting the needs of a digitalized future. The challenge is to develop innovative quality engineering methodologies that leverage Industry 4.0 technologies such as the IoT, AI, and advanced robotics to foster sustainable development.

Aim:

This Special Issue aims to bring together cutting-edge research that addresses how quality engineering practices can adapt and innovate in the era of Industry 4.0 while promoting sustainability. By encouraging contributions from both academic and industrial perspectives, the Issue will explore the latest trends in quality management, process optimization, and technological integration that are shaping a more sustainable future.

Topics of interest include, but are not limited to, the following:

  • Integration of quality engineering with AI, machine learning, and the IoT for process improvement.
  • Sustainable product lifecycle management through advanced quality assurance systems.
  • The role of digital twins and predictive maintenance in enhancing product quality and reducing waste.
  • Innovations in supply chain quality management in Industry 4.0 environments.
  • The role of green technologies in improving industrial quality standards.
  • Sustainable manufacturing practices using Industry 4.0 tools.
  • Data-driven approaches to sustainability and quality control.
  • Quality 4.0 and its impact on environmental sustainability.
  • Case studies on the implementation of Industry 4.0 for sustainable development.

We invite contributions from both researchers and practitioners.

Dr. Peter Shi
Dr. Sohaib Mustafa
Dr. Noor Un Nisa
Dr. Qiang Wang
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

  • Industry 4.0
  • quality engineering
  • sustainability
  • digital transformation
  • IoT
  • artificial intelligence
  • green manufacturing
  • quality 4.0
  • predictive maintenance
  • sustainable development

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Published Papers (1 paper)

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Research

18 pages, 761 KiB  
Article
How Can We Promote Digital Transformation in College Libraries? A Study on Readers’ Intention to Adopt Digital Services
by Yixin Lu and Shengguang Lin
Sustainability 2025, 17(8), 3504; https://doi.org/10.3390/su17083504 - 14 Apr 2025
Viewed by 793
Abstract
In the Industry 4.0 era, digital transformation is crucial for college libraries aiming to improve reader service quality. The current research proposes various digital transformation initiatives for college libraries but ignores readers’ willingness to use digital services, which is key to a successful [...] Read more.
In the Industry 4.0 era, digital transformation is crucial for college libraries aiming to improve reader service quality. The current research proposes various digital transformation initiatives for college libraries but ignores readers’ willingness to use digital services, which is key to a successful digital transformation. To better help college libraries in their digital transformation, this study explores readers’ willingness to use digital services from a perceived benefit–risk perspective. Using structural equation modeling, it examines factors that influence this willingness, like readers’ attitudes, trust, perceived benefit, and perceived risk. The results show that perceived benefits positively affect the willingness to adopt, while perceived risks have a negative effect. Readers’ attitudes and trust indirectly influence this willingness by affecting their benefit–risk perceptions. This study is practically significant for guiding strategies to boost readers’ willingness to use digital services, offering valuable insights for universities in digital transformation complexity. Full article
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