Smart Factory, Industry 4.0 and Sustainability

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".

Deadline for manuscript submissions: 22 October 2024 | Viewed by 413

Special Issue Editors


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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
1. CINAV–Escola Naval, Base Naval de Lisboa, 2810-001 Almada, Portugal
2. Instituto de Telecomunicações, 1049-001 Lisboa, Portugal
Interests: instrumentation; measurement; industrial protocols; smart sensing

Special Issue Information

Dear Colleagues, 

As data become easier and cheaper to collect, organizations have begun phasing out paper-based systems in favor of digital information. However, while data collection is now commonplace, data availability does not always translate into actionable information. Thus, in this context, Industry 4.0 is a driver towards developing future manufacturing systems. Smart sensing,Industrial Internet of the Things (IIoT) and the usage of artificial intelligence, together with others advanced data processing techniques, are starting to exert a large impact in all the industrial applications. Simultaneously, the rapid adoption of IoT devices culminates in huge amounts of raw data, requiring the use of big data analytics tools to extract the right information from smart sensors and actuators.  

Machine learning and artificial intelligence (AI) techniques allow researchers to enhance decision support in all processes and to create new opportunities for industrial organizations, reducing significantly costs while improving efficiency and performance. Moreover, Industry 4.0 will have a huge impact on the environment, conserving energy, resources and reducing carbon emissions, and thus contributing significantly and positively to the sustainability desideratum.

In this context, the guest editor of this Special issue invites academic researchers and the industrial community in general to submit contributions related to the topics that are linked to the set of keywords referred to below.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: smart sensors; smart factories; Industrial Internet of the Things (IIoT); Industry 4.0; condition-based maintenance; machine learning and deep learning; artificial neural networks and neuro-fuzzy models in industrial applications: artificial intelligence (AI) and industrial applications; big data analytics; and sustainability. 

We look forward to receiving your contributions.

Dr. José Miguel Costa Dias Pereira
Dr. Vítor Viegas
Guest Editors

Manuscript Submission Information

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Keywords

  • smart factory
  • Industry 4.0
  • sustainability

Published Papers (1 paper)

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Review

28 pages, 3615 KiB  
Review
Shipbuilding 4.0: A Systematic Literature Review
by Xiaowei Zhang and Daoyi Chen
Appl. Sci. 2024, 14(14), 6363; https://doi.org/10.3390/app14146363 (registering DOI) - 22 Jul 2024
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Abstract
Existing research in the shipbuilding field tends to focus on isolated single aspects of Industry 4.0 (I4.0) without a full picture. To address this gap, this paper seeks to offer a thorough and in-depth examination of the concepts and technologies necessary to integrate [...] Read more.
Existing research in the shipbuilding field tends to focus on isolated single aspects of Industry 4.0 (I4.0) without a full picture. To address this gap, this paper seeks to offer a thorough and in-depth examination of the concepts and technologies necessary to integrate I4.0 into the design, construction, maintenance, and other stages throughout the entire life cycle of a ship. This paper will firstly examine the recent developments and identify the gaps in I4.0 application within shipbuilding. By conducting a systematic literature review on 68 publications through an appropriate review methodology, we synthesize the current state of I4.0 research in the shipbuilding industry, propose a framework for the application of I4.0 in shipbuilding to analyze the progression and research agenda of I4.0 in the shipbuilding sector, and discuss its implications. The Shipbuilding 4.0 framework proposed comprises five main components: concepts, value chain, smart factory, smart manufacturing, infrastructure, and technologies. The proposed framework aims to enhance the understanding of both academics and practitioners regarding the specific needs of the shipbuilding industry and the role I4.0 can and should play in its advancement. Full article
(This article belongs to the Special Issue Smart Factory, Industry 4.0 and Sustainability)
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