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Background
Evaluating and establishing improvements we achieve in performance, cost or quality is common tasks we perform at end of a project completion. Generally, we also express such improvements achieved in terms of percentage of the current level of performance. However, when asked to quantify the same improvement in terms of dollars we seem to have difficult time. Fortunately, the Loss Function formulation proposed by Dr. Genechi Taguchi allows us to translate the expected performance improvement in terms of savings expressed in dollars. Using the Loss Function concept, the expected savings from the improvement in quality, i.e., reduced variation in performance around the target can be easily transformed into cost.
This session will also present a quick review of the product and process design improvement using the Taguchi design of experiment (DOE) and discuss how the Loss Function is used to convert the improved performance in to expected dollar saving. Basic theories are covered and application demonstrated through examples.
You would benefit most from this sessions if you have working knowledge of the DOE/Taguchi approach and wish to express improvements in terms of dollars.
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Discussion Topics
- INTRODUCTION
- Concepts
- Math model
- Purpose and application areas
- REVIEW TAGUCHI EXPERIMENT DESIGN AND ANALYSIS
- EVALUATION OF $ LOSS
- With target value
- General quality characteristics
- When other distribution parameters are known
- COMPUTATION OF SAVINGS FROM CHANGES IN
- S/N ratio
- Mean Squared Deviation (MSD)
- Std. Deviation and Average Value
- RELATIONSHIPS BETWEEN LOSS AND PROCESS
- CAPABILITY (Cpk)
- GENERAL APPLICATION EXAMPLES
- APPLICATION TO ACTUAL PROJECTS
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Who Should Attend
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Experienced DOE/Taguchi practitioners in Product/Process Design Engineer, R&D Scientists, or QA Personnel, Manufacturing. Manager, Director or Senior Engineer, Instructor in academic institution, Consultant and Trainers
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