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Smart Industry – Theories and Practices for Sustainability

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (30 July 2023) | Viewed by 263

Special Issue Editors


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Guest Editor
Resilience, Sustainability and Development Center, Polytechnic Institute of Setúbal, 2910-761 Setúbal, Portugal
Interests: operations management; quality management; lean six sigma; environmental management; safety and risk management; metrology; design of experiments
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Polytechnic Institute of Setúbal, Setúbal School Of Technology, 2910-761 Setúbal, Portugal
Interests: industrial instrumentation; smart sensing; Industry 4.0; environmental monitoring
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Polytechnic Institute of Setúbal - Setúbal School Of Technology, 2910-761 Setúbal, Portugal
Interests: control; automation; optimization; simulation; modelling

Special Issue Information

Dear Colleagues,

Most manufacturing and service industries are aware of the digital transition need for leveraging their business sustainability and competitiveness. However, many of them are still starting to plan this transition, while others are in an early stage in that digital transformation. This is not a fast and easy process due to technical and non-technical issues. Additionally, digital technologies and Industrial Internet of Things (IIoT) already have a relevant role in the actual business intelligence age.

Industry is experiencing unprecedented conditions and challenges related to technology and data availability. Digital, networked, and intelligent technologies provide huge amounts of raw data that allow to create new or modify existing business processes, culture, and customer experiences to meet changing business and market requirements. However, massive datasets require the usage of Big Data analytics tools to extract the right information from them. To select and implement those tools for gathering actionable and manageable insights from the data is a major challenge. Successful case studies of machine learning and artificial intelligence techniques that enhance decision support and significantly improve businesses efficiency and sustainability from an economic, environmental, social, and governance point of view must be reported, but unsuccessful examples will exist and must be presented as well, because they also provide useful insights and learnings.

In this context, researchers and practitioners are invited to submit original research articles, reviews, and case studies within the following topics and related fields.

Topics: digital transformation; Industry 4.0; intelligent technologies; artificial intelligence; machine learning; big data; simulation technologies; virtual reality; process configuration and control; digital twin; supply chain 5.0.

We look forward to receiving your contributions.

Prof. Dr. Nuno Ricardo Pais Costa
Dr. José Miguel Costa Dias Pereira
Dr. João Miguel Lourenço
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 transition
  • artificial intelligence
  • automation
  • intelligent technologies
  • simulation
  • big data
  • operations efficiency

Published Papers

There is no accepted submissions to this special issue at this moment.
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