Exam 7: Statistical Process Control
Exam 1: Operations and Productivity126 Questions
Exam 2: Operations Strategy in a Global Environment135 Questions
Exam 3: Project Management123 Questions
Exam 4: Forecasting144 Questions
Exam 5: Design of Goods and Services137 Questions
Exam 6: Managing Quality130 Questions
Exam 7: Statistical Process Control154 Questions
Exam 8: Process Strategy131 Questions
Exam9: Capacity and Constraint Management107 Questions
Exam 10: Location Strategies140 Questions
Exam 11: Layout Strategies161 Questions
Exam 12: Human Resources, Job Design, and Work Measurement191 Questions
Exam 13: Supply-Chain Management145 Questions
Exam 14: Outsourcing as a Supply-Chain Strategy73 Questions
Exam 15: Inventory Management155 Questions
Exam 16: Aggregate Planning134 Questions
Exam 17: Material Requirements Planning MRP and ERP169 Questions
Exam 18: Short-Term Scheduling139 Questions
Exam 19: Just-In-Time and Lean Options137 Questions
Exam 20: Maintenance and Reliability130 Questions
Exam 21: Decision-Making Tools97 Questions
Exam 22: Linear Programming100 Questions
Exam 23: Transportation Models94 Questions
Exam 24: Waiting-Line Models135 Questions
Exam 25: Learning Curves111 Questions
Exam 26: Simulation93 Questions
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The statistical process chart used to control the number of defects per unit of output is the
(Multiple Choice)
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If a sample of items is taken and the mean of the sample is outside the control limits the process is
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__________ is a method of measuring samples of lots or batches of product against predetermined standards.
(Short Answer)
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The x-bar chart indicates that a gain or loss of uniformity has occurred in dispersion of a production process.
(True/False)
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In statistical process control, the range often substitutes for the standard deviation.
(True/False)
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Which of the following is true regarding the relationship between AOQ and the true population percent defective?
(Multiple Choice)
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If μ = 9 ounces, σ = 0.5 ounces, and n = 9, calculate the 3-sigma control limits.
(Short Answer)
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Up to three standard deviations above or below the centerline is the amount of variation that statistical process control allows for
(Multiple Choice)
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What four elements determine the value of average outgoing quality?
Why does this curve rise, peak, and fall?
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Control charts for variables are based on data that come from
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The term __________ is used to describe how well a process makes units within design specifications (or tolerances).
(Short Answer)
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To measure the voltage of batteries, one would sample by attributes.
(True/False)
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The mean and standard deviations for a process are μ= 90 and σ = 9. For the variable control chart, a sample size of 16 will be used. Calculate the standard deviation of the sampling distribution.
(Essay)
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In the table below are selected values for the OC curve associated with the acceptance sampling plan n=50, c=1. (Watch out--the points are not evenly spaced.) Assume that upon failed inspection, defective items are replaced. Calculate the AOQ for each data point. (You may assume that the population is much larger than the sample.) Plot the AOQ curve. At approximately what population defective rate is the AOQ at its worst?
Explain how this happens. How well does this plan meet the specifications of AQL=0.0050, α =0.05; LTPD=0.05, β =0.10?
Discuss.
Population percent defective Probability of acceptance 0.005 0.97387 0.01 0.91056 0.02 0.73577 0.03 0.55528 0.04 0.40048 0.05 0.27943 0.06 0.19000 0.08 0.08271
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The specification for a plastic handle calls for a length of 6.0 inches ± .2 inches. The standard deviation of the process is estimated to be 0.05 inches. What are the upper and lower specification limits for this product?
The process is known to operate at a mean thickness of 6.1 inches. What is the Cp and Cpk for this process?
Is this process capable of producing the desired part?
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