overall-equipment-effectiveness

The OEE-Designer is the build time environment for OEE applications.

The OEE-Operations project is the user interface for the OEE operator web application.

The OEE-Collector project contains the OEE data collector service.

The OEE-Domain project contains business domain classes for OEE.

Manufacturing effectiveness metrics for Python: OEE, OOE and TEEP, the six big losses, reliability (MTBF/MTTR), yield and loss valuation. Validated, zero core dependencies.

Mobile Point85 operator application

MCP server for the oee library: OEE, OOE, TEEP, the six big losses, reliability, yield and charts as tools for AI agents.

Reproducible manufacturing OEE and production-loss diagnostic dashboard using Python, Streamlit, SQLite, Pareto analysis, and deterministic engineering insights.

This is the repo to quickly start using opensource CMMS and OEE software

A serverless, offline-first Overall Equipment Effectiveness (OEE) tracker. Calculate Availability, Performance, and Quality locally in your browser. Perfect for Lean Manufacturing and zero-cloud data privacy.

This Power BI project consists of two dashboards designed to monitor key performance indicators (KPIs) and ensure data quality in machine operations. It provides insights into machine efficiency, downtime trends, and repair costs to support data-driven decision-making.