Special Issue "Industry 4.0 Technologies for Sustainable Asset Life Cycle Management"

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".

Deadline for manuscript submissions: 15 March 2022.

Special Issue Editors

Dr. Malgorzata Jasiulewicz-Kaczmarek
E-Mail Website1 Website2
Chief Guest Editor
Faculty of Engineering Management, Poznan University of Technology, 61-704 Poznan, Poland
Interests: manufacturing engineering; maintenance technologies; maintenance management; multi-criteria decision-making methods; sustainability performance
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Prof. Dr. Katarzyna Antosz
E-Mail Website
Assistant Guest Editor
Department of Manufacturing Processes and Production Engineering, Rzeszow University of Technology, Aleja Powstańców Warszawy 12, 35-959 Rzeszów, Poland
Interests: Industry 4.0; maintenance; production engineering; systems reliability; lean maintenance; decision support systems; artificial inteligence; machine learning
Special Issues and Collections in MDPI journals
Dr. Chao Zhang
E-Mail Website
Assistant Guest Editor
School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
Interests: reliability engineering; accelerated life testing; prognostics and fault diagnosis of hydraulic components; maintenance
Prof. Dr. Vitalii Ivanov
E-Mail Website
Assistant Guest Editor
Department of Manufacturing Engineering, Machines and Tools, Sumy State University, 40007 Sumy, Ukraine
Interests: Industry 4.0; intelligent manufacturing; manufacturing technology; CAx technologies; decision support systems

Special Issue Information

Dear Colleagues,

Asset life cycle management is not a new concept for industries. Life cycle thinking means that people have a life cycle model in mind that affects the scope of their activities. A life cycle perspective for manufacturing assets is often mentioned in the literature regarding sustainability. This approach aims to understand and analyze individual stages of the asset life cycle, identify potential economic, social, and environmental risk factors and opportunities at each stage, and create possibilities to take advantage of these opportunities and reduce potential risks. In the Industry 4.0 era, manufacturers can monitor assets and make smart decisions in each phase of their life cycle through real-time communication and cooperation with humans, machines, sensors, etc. These technologies can support all stages of ALC through various emergent communication, information, and intelligence technologies. Technologies such as Digital Twin (DT), Internet of Things (IoT), Cyber-Physical Systems (CPS) and their respective specialization to industry, Industrial Internet of Things (IIoT), and Cyber-Physical Production System (CPPS), are considered in this Special Issue to increase the effectiveness of asset life cycle management (ALCM).

Topics and themes of this Special Issue can include but are not limited to:

  • Drivers and barriers for the implementation of Industry 4.0 technologies for sustainability in ALCM;
  • Intelligent decision support systems for sustainability in ALCM;
  • Digitalization and Industry 4.0 for supporting the ALCM;
  • Mapping of technologies and capabilities for adoption and implementation of Industry I4.0 for ALCM;
  • Role of competences for successful adoption and implementation of Industry 4.0 technologies for ALCM;
  • Digital product–service system for sustainability in ALCM;
  • The impact of digitalization on ALCM;
  • Modeling and simulation in ALCM;
  • Big data analytics implementation for sustainable ALCM;
  • Digital-twin-driven intelligent ALCM for sustainability;
  • IoT solutions in ALCM for sustainability;
  • Data-driven maintenance and ALCM systems;
  • Risk-based approaches in ALCM;
  • Causes and effects of implementing Industry 4.0 technologies for sustainable ALCM.

Dr. Malgorzata Jasiulewicz-Kaczmarek
Chief Guest Editor

Prof. Dr. Katarzyna Antosz
Dr. Chao Zhang
Prof. Dr. Vitalii Ivanov
Assistant 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 papers will be 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 1900 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

  • asset life cycle management
  • Industry 4.0 technologies (e.g., IoT, big data, AI, additive manufacturing, robotics)
  • life cycle data for sustainability
  • product-service system
  • servitization
  • operation and maintenance
  • reliability and availability
  • smart maintenance
  • data-driven design
  • digital twin

Published Papers

This special issue is now open for submission.
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