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The Problem Of The Digital Twin

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A major problem in the manufacturing world today is product recall. Some examples are food, automotive industries, and drugs, they risking the lives of many Americans and hurting companies greatly. Recently Samsung Electronics Co. has made a global recall of 2.5 million of their Galaxy Note 7 smartphones after many of their phones exploded while charging. This caused the company close to $1 billion. How do we stop this from happening? The answer is the Digital Twin. The Digital Twin is defined as a computerized companion of physical assets that can be used for various purposes. It uses data from the sensors installed on physical objects to show their near real-time status, working condition or position. With the information given it then can predict future behavior and performance of the physical product. Every manufacturing company should have this program to prevent recalls, save money, and speed up their production time. In the early 2000’s a man named Michael Grieves coined the term “Digital Twin”. As explained before, it basically creates a digital form of the actual product and uses multiple sensors to show their near real-time status, working condition, position, and other key metrics that help understand the health and functioning of these assets at the granular levels. There are two types of Digital Twins, Digital Twin Prototype (DTP) and Digital Twin Instance (DTI). The DTP describes the prototype of the physical artifact. It has the information that describes and

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