What is finish on time in SAP MFG-DM-MI - Digital Manufacturing Insights?

SAP Term: finish on time

• Component: MFG-DM-MI

• Component Name: Digital Manufacturing Insights

• Description: It is a measure of how a plant is performing with respect to fulfilment of released production orders. Production orders that are completed on or before defined time of the production order are finish on time production orders.

Smart SAP Assistant

• Key Concepts:
  Finish on time is a feature of the MFG-DM-MI Digital Manufacturing Insights component of SAP. It is designed to help manufacturers optimize their production processes and ensure that they meet their deadlines. The feature provides real-time insights into production processes, allowing manufacturers to identify potential delays and take corrective action before they become an issue.
  
  How to use it:
  To use the finish on time feature, manufacturers must first set up their production processes in SAP. This includes defining the tasks that need to be completed, the resources required, and the expected timeline for completion. Once this is done, the feature will provide real-time insights into the progress of each task and alert users if any delays are detected. This allows users to take corrective action before the deadline is missed.
  
  Tips & Tricks:
  When setting up production processes in SAP, it is important to be as detailed as possible. This will ensure that the finish on time feature can provide accurate insights into the progress of each task. Additionally, it is important to regularly review the insights provided by the feature and take corrective action when necessary.
  
  Related Information:
  The MFG-DM-MI Digital Manufacturing Insights component of SAP also includes features such as predictive maintenance and quality control. These features can help manufacturers optimize their production processes and ensure that they meet their deadlines. Additionally, SAP offers a range of other components that can help manufacturers improve their operations, such as supply chain management and analytics.