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78 SMT007 MAGAZINE I AUGUST 2020 These are just some of the things we had to research and understand that led us to con- clude that as much as the technology enabler readiness and employee competency is impor- tant, the "smart" in smart factory starts with a corporate crystal-clear digital transformation vision that addresses the OI/IT convergence challenges. Real, Applied ML in Electronics Board Manufacturing In one of our customer successful implemen- tations of advanced analytics, we started with a proof of concept (PoC) upon their subscrip- tion to the service for their test systems in pro- duction. Figure 2 shows a typical electronics board manufacturing line that the customer implements in the factory. The cloud-based advanced analytics software as a service platform (Figure 3) was developed to provide almost real-time data acquisition, transformation, and analytics of the test sys- lenges they would like the strategy to address. Part of the problem here is that it is difficult for an IT expert to truly com- prehend the intricacies of an operation and its processes. This creates a major disconnect between what the corporate strategy objectives are and the actual value it brings to the operations. c. For example, an IT-driven private cloud- based Business Intelligence platform may be able to acquire huge sets of data from the manufacturing floor. This is very aligned with the ideas of Industry 4.0. However, the insights from the platform are too far away from the action on the floor. It is usually used as a reporting tool or an alarm system for machine and yield issues. The operators or technicians fight- ing fire on the floor are not able to use this platform to take quick, immediate, simple actions that may mitigate the resulting wastage. Figure 2: Example of a typical electronics board manufacturing line.

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