Industry 4.0 and Artificial Intelligence for Resilient Supply Chains

Dear Colleagues,

Industry 4.0 is the term related to the rapid growth of technology, connected devices to the global network, automatization of processes, automatic analysis, artificial intelligence, and big data analysis. These technologies have a major impact on the effectiveness of almost all logistics processes in companies as well as on their sustainability performance.

The digitalisation of data entails the implementation of many systems such as ERP, MRP, WMS, TMS, YMS and more. Due to the use of at least a few systems in each company, the problem of big datasets and with connecting the data to find useful information is crucial. Many managers complain about reports, which are automatically generated once a week or month. These kinds of reports are useless; the company needs quick access to data, alerting systems to predict the disruption and probability of risk. Moreover, companies need new technologies such as sensors for monitoring the position of tools or transport modes, sensors for measuring the state of devices and also conditions in transport to be able to act in real time. It is very important to predict potential disruptions in the transport chain, so artificial intelligence, simulation & digital twins, and big data have a great impact to develop such kinds of systems. Thanks to this, the effectiveness of logistics processes can be higher. All these new digital technologies also enable significant improvements in environmental sustainability of logistics processes and operations as well as managing supply chains.

This Special Issue focuses on the modern technologies and solutions related to Industry 4.0 and makes the effectiveness of logistics higher as well as it contributes to the sustainability of logistics and supply chains.

This Special Issue welcomes contributions from the following themes (this list is not exhaustive):

• Industry 4.0;
• Internet of Things (IoT);
• Sensors;
• Automatization of production;
• Automatization of logistics processes;
• Artificial intelligence (AI);
• Artificial neural network (ANN);
• Deep learning (DL);
• Big data analysis;
• Modern technologies;
• Improving sustainability with digital technologies;
• Impact of ML/AI, IoT and real-time operations on sustainability;
• Smart solutions for logistics, air, maritime and road transport.

Dr. Matevz Obrecht
Dr. Augustyn Lorenc
Guest Editors

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