Application of Sensors in Transportation in the Context of Logistics 4.0 and Industry 4.0 (Closed)
A topical collection in Sensors (ISSN 1424-8220). This collection belongs to the section "Intelligent Sensors".
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Interests: maritime transport and logistics
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Interests: transport systems; logistics; city logistics; sustainable mobility; electromobility; smart cities; recycling
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Topical Collection Information
Dear Colleagues,
Logistics and transport are joint areas of interest where Industry 4.0 is concerned. Logistics would mean very little without transportation processes which take place in every facility, no matter whether it is a logistics facility, factory or any other. Industry 4.0 creates many new opportunities in all of the aforementioned areas, but at the same time, it brings several challenges. It is expected that new skills will be developed in human work, but also in the equipment and devices used to operate the production, logistics, and transport systems. It is certain as well that the development of Industry 4.0, based on digitization and automation represented for logistics, production, and transportation, will provide not only huge challenges but also opportunities for increasing efficiency. It is also worth mentioning that the similarity of logistics and production processes blurs the differences between Logistics 4.0 and Factory 4.0 and, consequently, also Industry 4.0. The objectives of papers will be to present solutions of a technical nature, especially applications of sensors, as opposed to many items in which purely economics, management, and theoretical aspects of Industry 4.0 are presented. Additionally, it will identify and provide current and future research issues, especially regarding the fact that the future of Industry 4.0 is far away of being foreordained. We invite researchers in the global logistics, production, and transportation community to contribute original research papers, as well as review articles and empirical studies, which will stimulate debate in the topic.
Dr. Mariusz Kostrzewski
Dr. Norbert Chamier-Gliszczyński
Collection Editors
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Keywords
- 3D printing
- Advanced robotics
- Artificial Intelligence (AI)
- Augmented Reality for Logistics
- Augmented Reality for production
- Augmented Reality for transportation
- Big data
- Cloud computing
- Cloud-based data analytics and sensors
- Cognitive computing
- Collaborative robot for logistics
- Collaborative robot for production
- Cyberphysical production system (CPPS)
- Cybersecurity
- Edge computing
- Embedded system
- Factory 4.0
- Industrial Big Data applications for logistics
- Industrial Big Data applications for production
- Industrial Big Data applications for transportation
- Industrial Internet of Things (IIoT)
- Interconnected intelligent logistics
- Interconnected intelligent production
- Interconnected intelligent transportation
- Machine learning
- Machine-to-machine (M2M)
- Manufacturing execution system (MES)
- Mobile technologies
- Multiagent systems
- OSI model (open systems interconnection model)
- Production control and logistics
- Reference architecture model Industry 4.0 (RAMI 4.0)
- RFID technology
- Scheduling and optimization of logistics systems
- Scheduling and optimization of production systems
- Scheduling and optimization of transportation systems
- Smart cyberphysical systems (SCPS)
- Smart factory
- Vertical integration
- Virtual Reality (VR)