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HOW WE CAN HELP

 

1. CAPTURE

a) Extract data from the automated machines on the shop floor
b) Application to replace paper based data capture

2. STORE

a) Could be on premise or in the cloud basis your specific needs and requirements
b) Needs multiple storage technologies as one size doesn't fit all

3. ANALYSE

a) KPI Dashboards for actionable insights.
b) AI / ML based analytics with Web Scale to uncover problems before they occur or root cause of issues rather than the symptoms of the problems

Analytics requirements from Customers:

Type of Analytics Application of Analytics What it Provides
Analysis of Means and Analysis of Variance Production Comparison of Min, Max, Mean, Standard Deviation across Shifts / Assembly Line / Personnel over a time period
  • Insights into production and the patterns with anomalous behavior of shift, personnel's.
  • Benchmarking across shifts and ability to see the trends in production
  • Rolling Targets for production based on average time
  • Identify deviations of production patterns
Frequency Distribution - Normal / Log Normal Production Distribution Analysis across Shifts
  • Identification of the statistical normal, Detection of Outliers, Identificatiuon of variability of production at shift level
Correlation / Regression Analysis Production, Defections, Rejections, Regression Analysis with Personnel Skills / Machine, Shift as explanatory variables.
  • Top Defects / Reasons of Rejection / Rework Frequency of occurrence of top defects
  • Trends of defects / rejections
  • New Defects / Reasons of Rejection
  • Resurfacing of defects , similar or dissimilar patterns of defects / rejections
Pareto Analysis Defects / Rejections / Reworks / Downtime Analysis
  • Identification of Key Issues - Cost of Quality
Control Charts / Sigma Analysis Control Charts for Process Outputs for finished component and work in progress
  • DPMO
  • Process Sigma / Sub-Process Sigma Levels