OPTIONS Supplier Customer Input Process ANSWER Process EXPLANATION A SIPOC map always commences by drawing the Process Block first.
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OPTIONS Group the comments Verify the validity of the comments Collect some more comments as 2 groups is too few for a Pareto Irrespective, should plot a Pareto ANSWER Verify the validity of the comments EXPLANATION Now this is a bit confusing. Except for option...
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OPTIONS Pareto of why variations occurred Pareto on customer complaints SIPOC Map Charter ANSWER Pareto of why variations occurred EXPLANATION Although a Pareto can be drawn in the Define Phase, Pareto of why variations occurred can be best left to the Analyse Stage..
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OPTIONS > $200,000 annually $150,000 – 175,000 $50,000 – $75,000 $100,000 – $125,000 ANSWER > $200,000 annually EXPLANATION Though financial savings depend entirely project-project, at the end of the day you would find that a Black Belt project should save at least $200,000.
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OPTIONS ProcessProblemFinancial benefitsThe degree of the problem ANSWER The degree of the problem EXPLANATION Degree of the problem is not a pre-requisite.
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OPTIONS Pugh Matrix Design of Experiments Function Deployment Matrix Brainstorming Project Prioritization Matrix ANSWER Pugh Matrix EXPLANATION Pugh Matrix is the universal tool known for this purpose..
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OPTIONS Tree Diagram Brainstorming QFD Affinity Diagram ANSWER Affinity Diagram EXPLANATION An affinity diagram helps the team to categorize the comments in groups, which is important. Post using the Affinity diagram, the Black Belt can use QFD, but to answer this question Affinity Diagram is...
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OPTIONS Accuracy Repeatability Bias Linearity ANSWER Accuracy EXPLANATION Accuracy of a measurement system is an assumed metric.
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OPTIONS Internal External Functional Competitive ANSWER Internal EXPLANATION Internal benchmarking accomplishes the objective discussed in the question.
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OPTIONS VOC Cause Effect Matrix QFD None of the above ANSWER QFD EXPLANATION QFD is the best tool to use here although one may want to use CE Matrix, QFD is preferred because of its robustness.
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