Outdated master data, insufficient information and lack of proper ownership can lead over time to significant differences in planned and actual production quantities. In turn, these delta’s could cause unrealistic production schedules, inaccurate stock quantities, faulty material planning and many more issues.
One of the various ways to minimize this difference in production quantity is by suggesting machine learning enabled changes to the existing out-of-date Bill of Materials and Production Routings, respectively the recipe and method to produce the end product.
As the production related master data becomes more and more up-to-date, the operational maintenance costs and quantity corrections will decrease, thus optimizing the production planning process.