Evaluate your actual production times to your planned production times to improve costing, margins, and scheduling.
Manufacturers considering using Microsoft Dynamics 365 business central and looking to optimise the production process you'll want to review our routing analysis app to help improve costing, sales margins and scheduling.
If you are wondering how accurate your scheduled production run time is on your routings then you will appreciate the routing analysis app.
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:
To enable comparison of your average actual run time to your scheduled runtime.
The routing analysis app will measure the standard deviation to help identify inconsistencies within the manufacturing process, for example, a lower standard deviation will indicate that a process is repeated consistently taking the same amount of time. Conversely a high standard deviation denotes that the production on a specific routing is inconsistent and may present an opportunity to streamline operations. Users will quickly identify where bottlenecks occur and areas to increase the equipment utilisation rate. With the routing analysis app you get an easy to use app that delivers enormous gains. If you are looking to optimise your routings look no further than deploying the routing analysis app
The routing analysis app is part of the enhanced planning pack an app packed with a suite of fantastic tools to learn more book your review!
The Routing Analysis app generates reports based on routing number, date, minimum average variance, and other variables to compare your average actual run time to your scheduled run time. The report is very useful to fine-tune your manufacturing process. You will quickly see where the bottlenecks occur and areas you can increase your equipment utilization rate.
The Routing Analysis app will measure the standard deviation to help identify inconsistencies within the manufacturing process. For example, a lower standard deviation will indicate that a process is repeated consistently, taking the same time every time. Conversely, a high standard deviation denotes that the production on a specific routing is inconsistent and may present an opportunity to streamline operations.
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