Supply Chain disruptions have a huge material impact on business results, and adopting a practice of supply chain resilience into the design process is a significant opportunity as companies look to manage risk. Today they cost the average organization 45% of annual profits over a decade. This is tantamount to approximately, 1% global GDP, $1 Trillion revenue impact in the 2020 to 2024 timeline. In today’s macro-economic context, it has become necessary to reimagine supply chains for resilience in this critical manufacturing industry. Currently, the manufacturing floor operates blind in the absence of data. Isolated equipment operations prevent seamlessly transitioning from one node to another, for example. Designing and controlling changes throughout the design to build process to control cost and time, before shipping to a customer, enables better trade-off decisions based on a more robust supply chain intelligence at the point of design.
To tactically enable the strategy of “Just in case,” instead of the classic “just in time,” the Digital Twin recreates a virtual supply chain that utilizes the production BOM, and the rich dataflow within the BOP, to track and trace critical components for a predictive and resilient supply chain. This also makes it possible to automate inventory management, detect and deploy parts and components real time on the factory floor. To serve as more than a canary in a coal mine, an integrated semiconductor production life cycle allows traceability of die, device, or an electronic component within the secure closed loop of the semiconductor industrial metaverse.
The reason that we need the new term, supply net, is that Metaphors are a powerful mechanism to convey a substantial amount of tacit information to envision a solution for a macro-economic dilemma with geopolitical complications. With previously unimaginable computing capacity and the metaverse’s ability to visualize data, bend the time, and space continuum, companies can solve the gap between planning and execution. They can view the entire supply chain network from suppliers to end customers and using the Digital Twin, constantly balance and calibrate the supply demand ratio in real time. The semiconductor metaverse enables the integration and traceability of the relevant data through automation of inventory.
A supply chain sequence in itself, implies the ability to control the supply-demand ratio with unconstrained ease, which is not a current reality. With the clear and present danger of energy supply, minerals and material scarcity, opaque inventory when it comes to chips, components, wafers, a supply net more accurately describes the necessary trapping mechanism of controls to use the web of digital threads woven around the Enterprise BOM to "capture" and automate inventory updates with real time data from suppliers. A supply net is fueled by market intelligence about accessible materials and components at friendly and not adversarial locations. A predictive supply digital twin can reimagine supply chain networks, applying algorithmic intelligence to leverage bi-directional data flowing through a product's lifecycle for improved adaptability and insights to equip procurement with forecast and update production with availability.
