1. DataLyzer® Spectrum Gage Management System introduces……

2.  Introduction  Gage Management  Gage Calibration and bias studies  Measurement systems analysis (GR&R)  Training and implementation  Support and maintenance Contents

3. MSA Introduction –How do you know that the data you have used is accurate and precise? –How do know if a measurement is a repeatable and reproducible? Measurement Systems Analysis or MSA Measurement Systems Analysis or MSA How good are these?

4.  Before we can address process improvement with statistical tools (SPC, Six Sigma, TS 19646) it is mandatory that we apply statistical techniques to assess the measurement systems.  In a production situation where quality is important, the use of gages must be managed. Gage management includes registering the location and the status of the gage, performing timely calibration and bias studies and performing MSA studies Introduction

5.  Maintain all appropriate data of a gage  Gage information (type, model, PO number etc)  Information about gage supplies (battery etc)  Location of the gage  Status of the gage  Supplier information  12 user definable fields  Calibration documents and work instructions  Setup both gage types and specific gages Gage Management

7. Gage Reports

8.  Plan and follow up on calibration and bias studies  Calibration and bias studies are done on individual gages  Indication of pass or fail during calibration based on limits set in the preferences section. Gage Calibration and bias studies

9. Gage bias studies

10. Gage Calibration

11.  Short and long study methods studies for variable and attribute type data  ANOVA and Average and range analysis  Integrated with DataLyzer SPC, enabling the use of characteristic groups to report GR&R results in process capability studies  Part variation from DataLyzer SPC system, Tolerance or study variation  Different data entry methods  All reports available (performance curve, individual charts, range and error chart, average chart, XY plot, etc) Measurement Systems Analysis

12. MSA GR&R Report

13. MSA Performance curve

14. MSA Average charts

15. MSA Individuals charts

16. MSA Range & Error chart

17. MSA Anova

18. Thank You