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Every day our lives are being affected by more and more data. We have become a data-driven society. In business and industry, we are using data in more ways than ever before. Today construction companies collect vast amounts of information through measurement and inspection. When this measurement data is being used to make decisions regarding the process and the business, the data must be accurate. If there are errors in our measurement system then we are making decisions based on incorrect figures. We can make incorrect decisions or build non-conforming parts. A properly planned and executed measurement system analysis (MSA) can help create a strong foundation for any data-based decision-making process.

MSA training is important for every industry. We miscalculate that our measurements should contribute to the variability of the data. Often, and appropriately, organizations have deployed the statistical concept of measurement system analysis (MSA) to validate measurement systems used in data collection. The data that form the basis of decision making in organizations must be validated for accuracy before being used for decision making.

Innovative Intellect Foundation provides Measurement System Analysis Training as per business and industry’s requirement and specific need. We design the statistical concepts involved simple to enable comprehension and application. Our experience across multiple industries and domains enables IIF Consultants to understand the challenges involved in real-time environments to help prepare participants for upcoming challenges.

The sources of variation in a measurement process can include the following:

  • Process – test method, specification
  • Personnel – the operators, their skill level, training, etc.
  • Tools / Equipment – gages, fixtures, test equipment used and their associated calibration systems
  • Items to be measured – the part or material samples measured, the sampling plan, etc.
  • Environmental factors – temperature, humidity, etc.

All of these possible sources of variation should be considered during Measurement System Analysis. Evaluation of a measurement system should include the use of specific quality tools to identify the most likely source of variation. Most MSA activities examine two primary sources of variation, the parts and the measurement of those parts. The sum of these two values represents the total variation in a measurement system.