Measurement Uncertainty

1 Days Training cum workshop on Measurement Uncertainty (MU)

Customers are placing increased demands on companies for high quality, reliable products. The increasing capabilities and functionality of many products are making it more difficult for manufacturers to maintain the quality and reliability. 
Traditionally, reliability has been achieved through extensive testing and use of techniques such as probabilistic reliability modeling. These are techniques done in the late stages of development. The challenge is to design in quality and reliability early in the development cycle.
Failure Modes and Effects Analysis (FMEA) is methodology for analyzing potential problems early in the development cycle where it is easier to take actions to overcome these issues, thereby enhancing reliability through design and process. FMEA is used to identify potential failure modes, determine their effect on the operation of the product, and identify actions to mitigate the failures. A crucial step is anticipating what might go wrong with a product and process. 
The early and consistent use of FMEAs in the design and manufacturing processes allows the engineers to design out failures and produce reliable, safe, and customer pleasing products. 
Quality Growth Services Pvt Ltd. (QGS), has always been pioneer in assisting industries in elevating the competence of the personnel and promoting Quality Culture among the industries in India and abroad over two decades. 
We, pleasantly, take the opportunity to announce a One days training cum workshop on ‘Failure Mode and Effect Analysis ’ based on the 4th edition of AIAG FMEA manual.
The objective of the course is to equip the participants with the in-sight and total exposure to the concept, requirements and practices of Failure Mode and Effect Analysis.


Who should participate?

Technical Managers • Quality Engineering ( e.g APQP) Team
Quality Managers • Laboratory Personnel 
Production Managers • Engineers / Quality Control Executives 
Metrology/Standard room personnel • S.Q.C/ SPC Team 
Supplier System Development Team

Uncertainty Estimation Course Content:

  • Pre-test
  • Measurement uncertainty basics
    • Characteristics of Good Measurement
    • Accuracy
    • Precision
    • Uncertainty- 17025 requirements
    • Uncertainty definition
    • Why uncertainty measurent
  • Uncertainty estimation competency needs
  • Basic Statistics
    • Mean, Standard Deviation, Distribution
  • Uncertainty Terminologies
    • Standard Uncertainty
    • Combined Standard Uncertainty
    • Expanded Uncertainty
    • Type A and Type B Uncertainty
    • Sources of Uncertainty
    • Sensitivity Co-efficient
    • Uncertainty Budget
    • Coverage Factor
    • Effective Degree of Freedom
    • Bias, Repeatability, Reproducibility, Linearity, Stability
  • Uncertainty Calculation Steps
  • Case Study
  • Exercise
  • Discussion on Practical Situation
  • Post Training test

Course Duration: 1 Day


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