Automated Equipment Performance Reporting

📅 February 01, 2023

Built an automated daily equipment performance reporting system that analyzed the prior 24 hours of production data and generated standardized performance summaries for cross-functional review

Skills: Business Intelligence (BI) Python Automated Workflows Data Aggregation Performance Analysis

Overview

This project delivered an automated daily reporting system that analyzed equipment performance across the prior 24 hours and generated standardized performance summaries for cross-functional team review. The system pulled production data, calculated key performance metrics, and created a clear and concise matrix of performance for review in a daily morning meeting.

Problem

Prior to automation, equipment performance analysis for daily cross-functional team (CFT) meetings was performed manually by process engineers. Each morning, an engineer would:

  • Query multiple data sources for the previous day’s production
  • Calculate equipment-level throughput, utilization, and quality metrics
  • Manually compile results into slides or summary documents
  • Identify and highlight equipment performance deviations

This manual workflow consumed 30-45 minutes each day, was prone to inconsistency, and delayed the start of CFT meetings. When the responsible engineer was unavailable, the analysis was often skipped entirely, leaving teams without critical performance visibility.

Solution

I designed and implemented an automated workflow in Python that:

  • Connected to the production data source to retrieve the prior 24 hours of equipment performance data
  • Calculated standardized KPIs for each piece of equipment
  • Aggregated results into a structured, formatted report for the CFT meeting each morning

The system ran on a scheduled task and required no manual intervention. Reports were consistent, timely, and provided a common data foundation for daily operational discussions.

Impact

Replaced manual daily analysis and became a core input to morning cross-functional team (CFT) reviews. Accelerated issue identification, improved alignment across engineering, maintenance, and operations, and enabled faster response to performance deviations

Coming Soon!

Code Repository

Due to proprietary production data, source code is not publicly available.