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Measurement Systems Analysis (MSA) originated with the automotive industry is eventually becoming a defacto standard of the manufacturing industry. Just as processes that produce a product may vary, the process of obtaining accurate measurements and data may also have variations and produce defects. MSA is a holistic approach to ensure the integrity of data used for analysis and evaluates the entire process of obtaining measurements i.e test methods, measuring instruments, operations, procedures, software and personnel that affect the assignment of a value to a measurement and to understand the implications of measurement error. MSA is an important element of Six Sigma methodology and other quality management systems.

Review of basic terms - Accuracy, Precision, Bias, Measurement Uncertanity, etc.
Definition and purpose of MSA
Difference between calibration and MSA components of a measurement system
Study of Bias, Stability and Linearity
Study of R&R - Range method and ANOVA method
Hands on exercise of MSA on sample components
Relation between MSA and SPC methods
Gauge performance for attribute measurements
Measurement study preparation
Acceptance criteria
Case studies and examples of MSA for specific components
Exercises for calculations of R&R and plotting SPC charts

Key Takeaways

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Our Initiatives

Productivity Institute

The need for Productivity Institute

Is your work place suffering from poor productivity?
Do you feel that supervision is weak on the shop floor?
Do your shop floor personnel find it difficult to achieve targets?
You have the machine in place, but not the men to optimize usage?

Realizing the need to enhance the skill sets of fresh engineers in mechanical engineering to make "Industry Employable" and to mould them as per the company requirements, IMTMA organizes

The rapid growth of Indian machine tool Industry and the increasing sophistication of machine tool has created the need for a new breed of machine tool technologists.

IMTMA Training