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The digital twin can substantially boost the ability of electronics manufacturers to better monitor their process performance and train/deploy their employees faster.
There has been an uptake in Line Automation and Management Technologies, such as MES, in SMT. The automation and digitization of manufacturing and assembly lines is seen as a priority by industry leaders, and those who have acted now stand to gain far more than ones who choose not to.
Industry 4.0 leverages both the Internet of Things-based devices and cloud-based computing, using AR and/or VR for an enriched and immersive experience, enabling enterprises to react faster. Armed with high quality information, the resulting actions help to achieve Industry 4.0 benefits associated with speed, accuracy, clarity and in some cases, innovation.
The COVID-19 Pandemic is perhaps the biggest reality check for every single business entity in the world. Today, we will explore why your operation needs a MES from a digitalization and post-pandemic perspective, and how it directly contributes to building a value chain-wide reliance.
Everyone seems to have a vision on Industry 4.0 but the big question remains: how the associated digital technologies can be effectively and efficiently implemented for quick time to value. We think we have the answer, and it encompasses combining technologies such as Digital Twin and Augmented Reality (AR) with modern operations management systems such as MES.
Some time ago in 2019 Tom Jenks wrote a great article that defined a Digital Twin and provided a high-level overview of the potential benefits. This technology has come of age, given recent advances that have occurred with the Internet of Things (IoT), machine learning and Artificial Intelligence. By providing access to a greater number of data points coupled with the ability to better predict other variables, it is now possible to achieve far greater calibration between the physical and digital worlds. These developments have significantly increased the value of the Digital Twin.
