ACCURACY OF DELIVERY TIMES
Companies need to automate the organization and collect their data to achieve greater control of their supply chain.
Supply collaboration tools based on AI & ML allow them to establish a computerized supplier capacity control system.
It will enable efficient management of operations through an integrated portal of digital tools, which by its automatic learning measures the previous performance and offers specific deadlines.
INTELLIGENT MANUFACTURING COLLABRATION
IDAS manufacturing collaboration tools provide continuous updates on WIP, stock levels, manufacturing routings and first article parts.
Continuous monitoring of supply chain and supplier operations provides early predictions of OTD problems to avoid production line downtime. In addition, it allows immediate attention to be focused on the parts and suppliers that need it.
IDAS offers a module that predicts the delivery time of parts manufactured by the supplier. It analyzes purchasing data, goods receipt data, late lines and quantities, and date confirmation from the enterprise system.
This information flow creates an accurate module capable of predicting whether or not parts will be shipped on time, indicates and updates lead times for each part based on inventory quantity and WIP, and provides recommendations to buyers and suppliers.
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