Statistical Analysis of Measurement Systems (300IGI007)

Basic Information

  • Course code number and name: 300IGI007, Statistical Analysis of Measurement Systems.
  • Credits and contact hours: 3 credit hours, 3 hours per week.
  • Course coordinator: Luz Elena Vinasco
  • Prerequisites:
  • Type of course: Required.

Text book

  • Statistical Quality Control and Six Sigma, H. Gutiérrez, R. De la Vara, 2004

Supplemental materials

  • Introduction to Chemical Engineering Thermodynamics, 5th Edition, J.M. Smith, H.C. Van Ness, M.M. Abbott, 1996.
  • Analysis and Quality Improvement, V. Escalante, J. Edgardo, 2006.
  • Six-Sigma: Methology and Techniques, V. Escalante, J. Edgardo, 2005.
  • Análisis and Design of Experiments, H. Gutiérrez, R. De la Vara, 2008.
  • Design and Análisis of Experiments, D. Montgomery, 1991.
  • Statistical Quality Control, D. Montgomery, 2004.

Specific course information

This course presents the quantitative methods for the continuous improvement of industrial processes through the improvement of quality in measurement systems, the identification of failure modes and their effects and the analysis of reliability and fail-proof devices.

Specific goals of the course

Learning objectives:
  • To identify the methods to evaluate a measurement system.
  • To evaluate quantitatively the stability and bias of a measurement system.
  • To analyze the linearity of a measurement system.
  • To apply the R & R studies to determine the quality of measurements.
  • To describe how to monitor a measurement system.
  • To apply statistical analyses of realistic measurement systems.
  • To apply reliability analyses to calculate the expected life of products.
  • To describe characteristics and design of poka-yoke devises.
  • To identify the importance of the failure mode analysis (FMA) in processes.
  • To describe and identify the characteristics of an effective FMA.
  • To apply the FMA to assign failure priorities in processes.
Relationship with student outcomes
Student Outcomes
A B C D E F G H I J K
Relevance 2 2 3 2 2 3

1: low relevance; 2: medium relevance; 3: high relevance.

Topics of the course

  • The importance of measurements.
  • Accuracy, linearity, stability, repeatability and reproducibility.
  • Short R&R studies.
  • Uncertainty, decision rules, solutions.
  • Types of errors.
  • Foolproof devises.
  • The best five poka-yoke.
  • Risk function.
  • Lifetime curve of a product.
  • Estimated life of a product.
  • Tests of lifetime of a product.
  • Activities of effective failure mode analyses.
  • Effects and severity of failures.
  • Controls to detect the occurrence of failures.
  • Actions to reduce the effects and occurrence of failures.
 
undergraduate/dptocivileindustrial/statisticalanalysisofmeasurementsystems.txt · Última modificación: 2014/10/12 06:11 por lsosorio
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