Date of Award


Degree Name

Master of Science


Manufacturing Engineering


Ivan A. Renteria Marquez

Second Advisor

Bill Tseng


Industry 4.0 comprises a diverse array of technologies and components that are revolutionizing the manufacturing industry, from Digital Twins, Cyber-Physical Systems and Augmented Reality. The elements that englobe Industry 4.0 vary from framework to framework. Nevertheless, there are similarities in the available literature on what constitutes Industry 4.0. Some of the most critical components specified by the available literature include Digital Twins and Cyber-Physical Systems. A Factory Digital Twin is a virtual representation of a production system that can mimic the behavior of the physical asset. Moreover, a digital twin must have synchronization with its physical twin (i.e., production floor), active monitoring to detect significant events in its physical twin, and the capability to simulate what-if scenarios [1]. The general Digital Twin concept was first introduced by NASA in 2012 [4]. This digital twin surged with the need to have on earth an accurate representation of a vehicle in space. Here, the digital twin was defined as the integration of multi-physics, multi-scale, probabilistic simulations, and physical models of a space vehicle that receives information collected by sensors located in the real-vehicle during his expedition in space. When it comes to Cyber-Physical Systems, Monostori reports in [2] that Cyber-Physical Systems (CPS) are one of the most important future directions of computer science, information, and communication technologies, which are referred to as Cyber-Physical Production Systems (CPPS) when applied in the manufacturing sector. One can define Cyber-Physical Production Systems (CPPS) as the system of system components of all levels of production (e.g., field level, process control level, plant management level, and enterprise resource planning level) interconnected through the Industrial Internet of Things (IIoT). Where this CPPS can monitor the entire system, improve the decision-making process, and respond accordingly [3]. In essence, Industry 4.0 is aiming towards methods to simulate and monitor a real-life system. But there needs to be more work done to develop and integrate such theoretical frameworks to bring this industry to fruition. This work will be based on a SCADA system incorporating Industry 4.0 technologies. Experimental frameworks such as this one will enable the industry to generate and standardize the components and building blocks that will encompass Industry 4.0.




Recieved from ProQuest

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Rights Holder

Jose Carlos Garcia Marquez Basaldua