A Continuous Improvement ( Kaizen ) Driven Approach for Realistic Digital Transformation
In this use case , we introduce an edge computing approach that connect OT side and IT side . In doing so , boundaries of using data are extended . Edge computing is addressed as a platform to do data collection , analysis , diagnosis , and feedback in real time and secured . Accordingly , horizontal integration towards supply chain is then possible by utilizing application specific establishment of information access and workflows through edge computing platform . For instance , when a balance is needed in every manufacturers ’ OEE ( Overall Equipment Effectiveness ) of supply chain to guarantee a quick response to user ’ s demand , edge computing enables real-time and seamless intra and inter factory integration and facilitate dynamic scaling of supply chain related integration and data analysis according to the changing needs of the manufacturer . A wide range of application that given in
Figure
5-3 would accelerate the optimization by providing more speed and insight into the supply chain .
Figure 5-3 Supply chain optimized manufacturing model line
Improvement : Using of edge computing platform , manufacturers are allowed to reduce the required core computing infrastructure in real-time and will enable them to respond flexibly to change infrastructure needs that in turn are caused by changing requirements in the manufacturing OEE . In addition , by absorbing the difference from equipment to the entire supply chain , using of edge computing platform can also provide insights of knowing what subset of right data needs to be accessed to facilitate manufacturing process improvement and optimization . At this point , OEE measured by every manufacturer on the supply chain can then be investigated deeply and broadly . As a result , the operation cost is reduced , the ROI is increased .
46 November 2021