Questions
Section Merge: SCM 405: Mfg & Svcs Strategy Midterm Exam 2
Single choice
For a production process using statistical process control, where each sample has 4 observations in it, let = 9.35 inches and = 3 inches. What is the lower control limit for the -chart?
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Step-by-Step Analysis
We’re dealing with a production process control chart scenario, specifically an X-bar chart for samples of size n = 4.
First, recall the LCL (lower control limit) formula for the X-bar chart when using the A2 constant with the R (range) chart: LCL = X̄̄ − A2 · R̄, where X̄̄ is the overall process mean (the target mean) and R̄ is the averag......Login to view full explanationLog in for full answers
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Construct a 3-sigma x-bar chart for the length in centimeters of a part from the following table. What is the upper control limit? Sample # Observation 1 Observation 2 Observation 3 Observation 4 1 0.486 0.499 0.493 0.511 2 0.499 0.506 0.516 0.494 3 0.496 0.5 0.515 0.488 4 0.495 0.506 0.483 0.487 5 0.472 0.502 0.526 0.469 6 0.473 0.495 0.507 0.493 7 0.495 0.512 0.49 0.471 8 0.525 0.501 0.498 0.474 9 0.497 0.501 0.517 0.506 10 0.495 0.505 0.516 0.511
Question at position 6 Enrique manufactures earrings at his factory in Dublin, OH. He is trying to determine if there is a bottleneck in his welding department that may be slowing down his production of diamond nose rings. To determine if there is a delay Enrique has recorded data from 3 separate days and taken 3 random readings of how long each earring takes (in seconds) to be welded (see table). Calculate the X-bar-bar of the welding process in the earring factory. (round your answer to 2 decimal places) [table] Sample/Day | Day 1 | Day 2 | Day 3 1 | 13.24 | 13.89 | 13.76 2 | 12.56 | 11.98 | 12.34 3 | 15.01 | 14.33 | 12.39 [/table] Answer Enrique manufactures earrings at his factory in Dublin, OH. He is trying to determine if there is a bottleneck in his welding department that may be slowing down his production of diamond nose rings. To determine if there is a delay Enrique has recorded data from 3 separate days and taken 3 random readings of how long each earring takes (in seconds) to be welded (see table). Calculate the X-bar-bar of the welding process in the earring factory. (round your answer to 2 decimal places) [table] Sample/Day | Day 1 | Day 2 | Day 3 1 | 13.24 | 13.89 | 13.76 2 | 12.56 | 11.98 | 12.34 3 | 15.01 | 14.33 | 12.39 [/table] [input]
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