Industry 4.0 Technologies for Sustainable Asset Life Cycle Management

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
Prof. Dr. Katarzyna Antosz
Dr. Chao Zhang
Prof. Dr. Vitalii Ivanov
Guest Editors

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