Exam 3: Statistical Process Control
Exam 1: Introduction to Operations and Supply Chain Management74 Questions
Exam 2: Quality Management86 Questions
Exam 3: Statistical Process Control161 Questions
Exam 4: Product Design81 Questions
Exam 5: Service Design77 Questions
Exam 6: Processes and Technology48 Questions
Exam 7: Capacity and Facilities Design90 Questions
Exam 8: Human Resources85 Questions
Exam 9: Project Management98 Questions
Exam 10: Supply Chain Management Strategy and Design73 Questions
Exam 11: Global Supply Chain Procurement and Distribution96 Questions
Exam 12: Forecasting99 Questions
Exam 13: Inventory Management25 Questions
Exam 14: Sales and Operations Planning34 Questions
Exam 15: Resource Planning86 Questions
Exam 16: Lean Systems99 Questions
Exam 17: Operational Decision-Making Tools: Decision Analysis38 Questions
Exam 18: Operational Decision-Making Tools: Acceptance Sampling28 Questions
Exam 19: Operational Decision-Making Tools: Facility Location Models23 Questions
Exam 20: Operational Decision-Making Tools: Work Measurement29 Questions
Exam 21: Operational Decison-Making Tools: Transportation and Transshipment Models102 Questions
Exam 22: Operational Decision-Making Tools: Simulation84 Questions
Exam 23: Operational Decision-Making Tools: Linear Programming92 Questions
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103. A company produces a product which is designed to weigh 10 oz., with a tolerance of + 0.5 oz. The process produces products with an average weight of 9.95 oz. and a standard deviation of 0.10 oz. According to the process capability ratio is the process capable of meeting design specifications?
(Multiple Choice)
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A quantitative variable measure classifies while an qualitative variable (attribute) measure esq.uantifies.
(True/False)
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Consider a production process for a 5.0 oz. energy drink. A quality engineer has taken 15 samples each containing 6 energy drinks. The sum of the ranges of the energy drinks in the 15 samples is 12.68. The centerline for the control chart reporting variability within the samples is
(Multiple Choice)
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The process capability index indicates how much a process mean differs from the target specification value.
(True/False)
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All processes contain a certain amount of variation in their output.
(True/False)
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Tolerances and or specifications limits report similar information forare allowable variation prescribed in a given product design.
(True/False)
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A p-chart is used to monitor the proportion defective in the output of a process.
(True/False)
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It is sometimes not necessary to determine new control limits after special cause (nonrandom) variation has been identified if the source has been eliminated without changing the process.
(True/False)
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A pattern test can identify an out-of-control process even if all sample points are within control limits.
(True/False)
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Statistical process control can prevent poor quality before it occurs if a pattern is evident in the plotted points.
(True/False)
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A sequence of sample points that display a pattern is known as a run.
(True/False)
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Defect and defective mean the same thing for attribute (qualitative) control charts.
(True/False)
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With a c-chart, the sample size is small and may contain only one item.
(True/False)
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100. A process is generally considered to be in control when
(Multiple Choice)
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Control charts are typically used at the ___________ of a process.
(Multiple Choice)
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The individual that detects special cause variation in a process is not allowed to diagnose the root cause and correct it.
(True/False)
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Control limits are based on the special cause (nonrandom) variation inherent in a process.
(True/False)
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Which of the following statements concerning control chart limits is true?
(Multiple Choice)
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104. A company produces a product which is designed to weigh 10 oz., with a tolerance of + 0.5 oz. The process produces products with an average weight of 9.95 oz. and a standard deviation of 0.10 oz. The process capability index for this process with z = 3 is
(Multiple Choice)
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