
Golden Batch and Correlation Analytics
Two connected dashboards turn operational PI data into golden batch comparisons and clear evidence of the variables driving process performance.
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Medical Devices · Data Analytics and Software Development
An interactive scenario-planning application gives senior leaders a ten-year view of production, labour and regional demand across multiple sites.
Project profile
An interactive scenario-planning application gives senior leaders a ten-year view of production, labour and regional demand across multiple sites.
Management needed to decide where products should be manufactured to maximise profit, understand the long-term effect of different strategies on output and labour, and identify the best time to enter each geographical market.
The existing process made it difficult to compare scenarios or see how production decisions would affect the next ten years.
Réalta built an interactive application that lets senior leaders upload scenario files and review ten-year production forecasts. A Python scenario model calculates annual production and regional sales requirements, while embedded Power BI reports show the implications at product and site level.
The application uses Power Apps for the interface, Python and FastAPI for the backend and scenario engine, embedded Power BI for reporting, and AWS for hosting.
The application helps management compare planned and forecast production, plan long-term resource allocation and identify when production at specific sites should change or stop. Decisions can now be tested against a consistent model before they affect capacity, cost or revenue.
Project view
Operational environments, applications and analytics that bring the work to life.
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