Total Quality Management

81. The focal point of all quality control should be:

1. Price focus
2. Cost Focus
3. Customer Focus
4. Manufacturing Focus

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82. The key process input variables (KPIV) and key process output variables are developed during the ______________ phase.

1. Define
2. Analyze
3. Measure
4. Improve

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83. An unbiased dice is rolled once. The probability of getting a number greater than 4 is:

1. ¼
2. 1/6
3. ½
4. 1/3

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84. Which of the following statement is false:

1. Important step of strategic quality management is identification of those dimensions in which the organization will compete
2. Selection of suppliers should be based on quality, schedule, and cost, rather than on cost alone
3. All of the individuals in the organization must have an understanding of the basic tools of quality improvement
4. Manufacturing Unit should be the unit focusing on Quality Improvement among all units in an organization

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85. Cause and Effect Diagram can be used in the ______________ and ______________ step of DMAIC.

1. Define, Measure
2. Analyze, Control
3. Analyze, Improve
4. Define, Improve

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86. Which of the following is false regarding when acceptance sampling is useful:

1. When testing is destructive
2. When 100% inspection cost is very low
3. When there are potentially serious product liability risk
4. When 100% inspection is not technically feasible

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87. Let p0 be the incoming fraction defective and p1 be the outgoing fraction defective (Assume both p1 and p0 is greater than 0). If rectifying inspection is performed then:

1. P0<p1
2. P1<p0
3. None of the above
4. Cannot be determined

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88. A company wants to measure the length of a fan as a part of its quality control exercise. The type of data collected will be:

1. Variable
2. Attribute
3. Cannot be determined
4. None of the above

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89. If only ______________ causes of variation are present, the output of a process forms a distribution that is table over time and is predictable.

1. Assignable
2. Non-Random
3. Natural
4. Cannot be said

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90. For an x bar chart, β risk can be defined as:

1. The probability of detecting the shift in process mean from μ_o (in control value) to μ₁
2. The probability of not detecting the shift in process mean from μ₀ (in control value) to μ₁
3. The probability of detecting the shift in process range from μ₀ (in control value) to μ₁
4. The probability of not detecting the shift in process range from μ₀ (in control value) to μ₁

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