Under a traditional Quality Management process you confirm that a product meets specifications by sampling and testing it. You have to wait and see whether your product meets requirements. Unfortunately, the time between samples is often too long to prevent a significant amount of out-of-spec product from being produced. It could be hours of production potentially wasted.
Fortunately, this can be prevented by augmenting your quality process with TwinThread’s Predictive Quality application. Predicting quality outcomes at the beginning or middle of your production process can be transformational to your entire operation. You shouldn’t have to wait to learn that product is outside specifications, with the right predictive feedback you can proactively keep quality on target at all times.
TwinThread’s predictive quality application supports AI-augmented operator and AI-augmented control system scenarios. In an AI-augmented operator scenario the predictive quality application provides real-time recommendations directly to operators - think ingredient and process changes - that will help to keep quality on target. In the AI-augmented control system scenario real-time recommendations are routed directly to control systems to optimize your process in real time.
In addition, the predictive quality application will identify the ideal conditions for achieving optimum quality allowing you to optimize your recipes and process conditions to hit your quality targets for every product, right from startup.
During production runs, the application allows your team to quickly understand what is driving quality off target so that any potential problems can be proactively addressed.
Implementing TwinThread’s predictive quality application is simple and fast - and the results come quick as well. Existing customers have seen payback periods between 15-60 days. Click the schedule a demo button below to learn how simple it can be for you to get started.