Transport Fleet Performance Data Analytics
Use case: – Digital twin synchronization using measurement data.
Goal: – Data import, standardization & analysisprocess automation.
Challenges: – Engine testing complexities, diverse data, manual entry errors, sequential analysis inefficiencies, and adapting to new KPIs challenge efficiency and standardization.
Solution :- Imported diverse truck data, applied KPIs with analysis windows, developed Python-based algorithms on BRIX lite for daily insights, and executed KPI-driven operational analytics
Results :- Optimized data workflow, automated KPI analysis for consistent insights, and ensured adaptability to evolving KPIs for ongoing performance enhancement
