SE Measurement Systems Analysis

Applied in the most varied manufacture industries and metrology laboratories, SE MSA confers standardization and reliability to the measurement system contributing towards the compliance with norms, significantly reducing associated costs and allowing for the organization to evolve and adapt different analysis methods for specific processes and products.

                                     Ölçüm Sistemlerinin Analizi, Otomatik Ölçüm Yönetimi

Overview

SE MSA intends to analyze the measurement process and allows for the understanding of factors (human, instruments and external factors) that may cause variations in the results of the measurement system. It allows for the evaluation of quality and reliability of a system allowing for continuous improvement by means of the analysis of repeatability and reproducibility (R&R) studies information, ANOVA, tendency, linearity, stability and cross tabulation methods, signal detection and analytical.

SE MSA is a multiuser and multidepartment system that incorporates tools for organization, classification and research allowing for immediate and simple access to all information on studies that have been carried out.

SE MSA uses Team Workflow technology – a powerful mechanism that guarantees all data collection activities are fulfilled and deadlines are met. It automatically notifies users via e-mail regarding pending jobs, thus allowing these to be quickly carried out. Those responsible will be notified if there are any delays in the data collection process for the study.

The concepts and resources offered by SE MSA allows for requirements to be met as foreseen in norms and international regulations such as ISO/TS 16949.

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Msa Data
Msa Results
Msa      (ANOVA)
MSA Results
Linearity chart

Features

  • Provides guidance for developing a formal gauge management system.
  • Classifies equipment based on several criteria, such as laboratory, application, usage location, equipment type, and more.
  • Demonstrates how to find root causes measurement process problems and explores basic causes to investigate.
  • Easily finds any equipment by entering any known data such as tag, description, status, manufacturer, calibration interval, and more.
  • Matches equipment to standard calibration procedures.
  • Schedules and tracks MSA studies.
  • Provides forms for collecting measurement data.
  • Maintains documented procedures and instructions to perform studies.
  • Defines a specific gauge in each type for a particular characteristic that needs to be analyzed.
  • Provides fixed and variable calibrations.
  • Documents, schedules, and performs Bias, Linearity, Stability and ANOVA Repeatability and Reproducibility studies.
  • Compares the performance of equipment before and after its repair.
  • Establishes acceptability of manufacturing processes.
  • Completes analysis using graph charts, such as average/range, errors, normalize individuals chart, whiskers chart, scatter, histogram, linearity, and others.


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