When modeling enterprises, it is necessary to capture, simplify, abstract, and organize a vast number of key organizational elements. These elements (e.g., organizational units, human resources, production processes, and IT systems) are frequently organized and modeled in the business and IT domains. The focus on modeling these domains casts aside other important domains for asset-intensive industries

Supply chains (SCs) are dynamic networks subject to uncertainties and risks that may occur anywhere, anytime, and whose consequences affect the entities that comprise such SC, possibly affecting others. In fact, there are several examples wherein the occurrence of certain events resulted in considerable costs. Thus, it is important to ensure that SCs can apply preemptive measures, rather than just

Industrie 4.0 and data analytics blur the separation of operational and information technology that prevailed for industrial automation over the last decades. Decentralized control systems for production plants and robot cells collaborate actively with higher-level systems for big data analytics. In parallel, the complexity of designing and operating a system architecture for data collection and analysis

Integrating Wireless Sensor Networks (WSNs) and the Internet of Things (IoT) is to build a heterogeneous device network for connecting, sharing and storing their information in order to create the application environment as smart. It also helps in industrial automation to predict and build a fault-tolerant environment. The automation of industry can be made possible with the emergence of new developments

COVID-19 is accelerating industrial information integration (III) for sustainable epidemic prevention and innovation design. It is important to emphasize that this interaction makes it reciprocal. To prevent COVID-19, the III of industrial sectors should be strengthened to encourage innovation for sustainable epidemic prevention. Accordingly, we studied the overall dynamic change trend of industrial

In our present-day world, the global technological and industrial revolution is accelerating. The widespread application of new generation ICT (information and communication technologies), such as AI, VR (Virtual Reality)/AR (Augmented Reality)/XR (Extended Reality), IoT (the Internet of Things), and blockchain technology, has driven the emergence of the 6 G communication system. Building on the basis

Industry 4.0 is defined as a paradigm that integrates the latest technological inventions in Artificial Intelligence (AI), Communication, and Information technologies, among other domains. This integration is made to increase the levels of automation, efficiency, and productivity of production, in manufacturing and industrial processes. In particular, the actors of the production processes (Things

Integration of process control with optimization is critical to Smart Manufacturing (SM). Oftentimes, however, the process control solutions from one vendor do not interoperate with the optimization solutions of another. Incompatibilities among the representation and format used by the vendors can impede interoperability. Without this interoperability, it is impossible to achieve the higher level of