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Evaluate your actual production times to your planned production times to improve costing, margins, and scheduling.
The Routing Analysis tool offers historical data on the run times for routing operations on completed production orders, facilitating the analysis of execution efficiency and variability. Furthermore, Routing Analysis enables the customization of routing operation times.
To do so one needs to consider:
From this you would then view and edit the configured operation times:
Manufacturers considering using Microsoft Dynamics 365 Business Central and looking to optimise the production process you will want to review how you might compare your real production durations to your scheduled production times in order to enhance cost management, sales margins, and scheduling accuracy
In summary: The Routing Analysis tool offers historical statistics on the duration of routing operations as they pertain to completed production orders. This enables an in-depth assessment of execution efficiency and variations. Additionally, Routing Analysis provides the capability to modify the operation times within the routing
If you wonder how accurate your scheduled production run time is on your routings then you will appreciate the capabilities of the routing analysis extension. With this enhanced capability you will easily compare average actual run time with scheduled runtime to help optimise the manufacturing process.
The routing analysis app generates reports based on:
The Routing Analysis Extension for Dynamics 365 Business Central generates reports that can be sorted by routing number, date, minimum average variance, and other factors, enabling you to assess the average actual run time compared to the scheduled run time. This report is a valuable tool for optimising your manufacturing processes, pinpointing bottlenecks, and identifying opportunities to boost equipment utilization
By executing Routing Analysis the system calculates the standard deviation to detect irregularities within the manufacturing process. A lower standard deviation indicates consistent, repetitive processes with consistent timings. Conversely, a high standard deviation suggests production variations in a specific routing, highlighting an opportunity for process optimisation
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