Whether you track your downtime within Flow or feed the Flow calculation engine downtime events already being tracked, you can create new KPIs that demonstrate frequency, duration, cause, even mean time between failures.
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Using Flow to Build a Downtime Tracking Solution
Information Management Simplified for Manufacturing Operations
Quickly Connect DATA HISTORIANS and Manufacturing Applications to SNOWFLAKE
Build ROBUST Data Warehouses & Data Lakes Rich with Operational Context
Modify / Edit Reported Values Without Changing the Data in Manufacturing Time Series Historians
Scaling Data Analytics With Flow Templates
Sustainability and ESG KPIs for Manufacturing: Calculate energy by product
Key KPIs for Solar Operations
Manufacturing Production Report - 50 Production KPIs and Events in 30 Minutes
How to Add Manual Data to Your Manufacturing Analytics
Tutorial for Running Flow Software in Docker
Integrate Flow Data Models, Calcs, and KPIs Directly Into Ignition by Inductive Automation
Applying Statistical Analysis and Regression Functions to Manufacturing Data
Ignition UDTs Autodiscovered from Data Models and KPI Calculations Built In Flow Software
Build a Manufacturing Information Hub with the Flow API
Projecting Manufacturing Values Into the Future
Build New KPIs around Manufacturing Downtime
Add Process Event Context to Manufacturing KPIs
Calculating Percent of Change Within Manufacturing
Learn Flow With Ease: Create Your First Event (part 4)
Data Analytics for Manufacturing Won't Scale Without these Three Fundamental Elements
Learn Flow With Ease: Project future values (part 3)
Learn Flow With Ease: Getting Started (part 1)
Learn Flow With Ease: Cleansing data (part 2)