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C & E matrix

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C & E matrix

  1. 1. C&E Matrix Identify contributing / causal factors of an adverse event Anand Subramaniam
  2. 2. <ul><li>“ Experience is a hard teacher because she gives the test first, the lesson afterwards .” </li></ul><ul><ul><li>- Vernon Sanders Law </li></ul></ul>
  3. 3. C & E – Focus Focus on… Preventing adverse events and or recurrence, not blame or punishment Measuring and tracking outcomes Involving interdisciplinary teams and / or those closest to and / or most knowledgeable about the situation System level vulnerabilities rather than individual performance Identifying contributing / causal factors of an adverse event
  4. 4. C & E - Process Roadmap Define the Effect Identify the Major Categories (6M / 4P) Generate Ideas Evaluate Ideas Vote for the Most Likely Causes Rank the Causes Verify the Results Recommend Solutions
  5. 5. C & E - Uses <ul><li>Visual means for tracing a problem to its causes </li></ul><ul><li>Identifies all the possible causes of a problem and how they relate before deciding which ones to investigate </li></ul><ul><li>Is used as a starting point for investigating a problem </li></ul>
  6. 6. C & E - Effect <ul><li>The problem or quality characteristic </li></ul><ul><li>The effect is the outcome of the factors that affect it </li></ul>
  7. 7. C & E - Matrix <ul><li>Gain new knowledge and perspectives by sharing ideas with others </li></ul><ul><li>Assists in understanding the processes </li></ul><ul><li>Provides a basis for action </li></ul><ul><ul><li>Whenever a problem is discovered, using C&E analysis forces one to take a proactive stance by seeking out causes </li></ul></ul>
  8. 8. C & E – KPIV / KPOV
  9. 9. C & E – Matrix (Worksheet) – Contd. List the process output variables Rate each output on a 1-to-10 scale, important to VOC Select the high ranking input variables to start the FMEA process Rate each input's relationship to each output variable using a 0, 1, 3, 9 scale List process input variables (from the process map)
  10. 10. <ul><li>“ Where facts are few, experts are many .” </li></ul><ul><ul><li>- Donald R. Gannon </li></ul></ul>
  11. 11. <ul><li>Good Luck </li></ul><ul><li>http://www.linkedin.com/in/anandsubramaniam </li></ul>

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