Production and Operations Analysis, Seventh Edition
7th Edition
ISBN: 9781478623069
Author: Steven Nahmias, Tava Lennon Olsen
Publisher: Waveland Press, Inc.
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Chapter 12, Problem 59AP
Summary Introduction
Interpretation: Graphical representation of AOQ for manufacturer A and B
Concept Introduction: Average Outgoing Quality curve (AOQ) is the curve that represents the quality of both the incoming as well as the outgoing material, assuming the hundred percent inspections of rejected lots and also the inspected defective materials are either removed, revised or exchanged.
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I obtained a ridge regression model by k-fold cross-validation using cv_glmnet in R. I need to calculate adjusted R^2 and VIFs for it but I don't know how
make a pareto diagram from the following rejection data of 60ml JYP round bottle in MTTS1 last july 9,2016 and identify the vital few types of rejects. (INCLUDE ALL THE DATA)
TYPES OF DEFECTS
# OF REJECTS
Blackspots
2101
Misblow
506
Underweight
253
IMF
114
Eroded collar
52
Thin bottom
64
Flowlines
1131
2) The specification for a Lindemann’s stainless steel chimney liner requires a thickness of 7.1 mm ± 0.1 mm. The firm’s quality analyst determines that the liner process operates at a mean thickness of 7.13 mm with the standard deviation of the process being 0.02 mm.
a) Calculate the upper and the lower limits for the stainless steel chimney liner.
b) Calculate the Cpand Cpkfor this process.
Hint:
Cp = (Upper Specification Limit – Lower Specification Limit)/6sigma
Cpk = minimum of [(Upper Specification Limit – Xbar)/3sigma], [(Xbar – Lower Specification Limit)/3sigma]
Chapter 12 Solutions
Production and Operations Analysis, Seventh Edition
Ch. 12.1 - Prob. 2PCh. 12.1 - Prob. 3PCh. 12.1 - Prob. 4PCh. 12.1 - Prob. 5PCh. 12.1 - Prob. 6PCh. 12.2 - Prob. 7PCh. 12.2 - Prob. 8PCh. 12.2 - Prob. 9PCh. 12.2 - Prob. 10PCh. 12.2 - Prob. 11P
Ch. 12.2 - Prob. 12PCh. 12.2 - Prob. 13PCh. 12.3 - Prob. 14PCh. 12.3 - Prob. 15PCh. 12.3 - Prob. 16PCh. 12.3 - Prob. 17PCh. 12.4 - Prob. 18PCh. 12.4 - Prob. 19PCh. 12.4 - Prob. 20PCh. 12.4 - Prob. 21PCh. 12.5 - Prob. 22PCh. 12.6 - Prob. 23PCh. 12.6 - Prob. 24PCh. 12.6 - Prob. 25PCh. 12.6 - Prob. 26PCh. 12.6 - Prob. 27PCh. 12.6 - Prob. 28PCh. 12.9 - Prob. 29PCh. 12.9 - Prob. 30PCh. 12.9 - Prob. 31PCh. 12.9 - Prob. 32PCh. 12.9 - Prob. 33PCh. 12.10 - Prob. 34PCh. 12.10 - Prob. 35PCh. 12.10 - Prob. 37PCh. 12.10 - Prob. 38PCh. 12.10 - Prob. 39PCh. 12.10 - Prob. 40PCh. 12.11 - Prob. 41PCh. 12.11 - Prob. 42PCh. 12.11 - Prob. 43PCh. 12.11 - Prob. 44PCh. 12.12 - Prob. 46PCh. 12.12 - Prob. 47PCh. 12.12 - Prob. 48PCh. 12 - Prob. 49APCh. 12 - Prob. 50APCh. 12 - Prob. 51APCh. 12 - Prob. 52APCh. 12 - Prob. 53APCh. 12 - Prob. 54APCh. 12 - Prob. 55APCh. 12 - Prob. 57APCh. 12 - Prob. 58APCh. 12 - Prob. 59APCh. 12 - Prob. 60APCh. 12 - Prob. 61APCh. 12 - Prob. 62APCh. 12 - Prob. 63APCh. 12 - Prob. 64APCh. 12 - Prob. 65APCh. 12 - Prob. 66APCh. 12 - Prob. 67APCh. 12 - Prob. 68APCh. 12 - Prob. 69APCh. 12 - Prob. 70AP
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Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, operations-management and related others by exploring similar questions and additional content below.Similar questions
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- Explain the use of full and fractional factorial experimental designs. Provide a scenario of when it would be appropriate for each.arrow_forwardUsing Dodge-Romig plans for AOQL of 3% ,determine the AOQ if the process average defective is 0.50% and the lot size is 600 and the pr0portion of defective is 4%arrow_forwardmake a pareto diagram from the following rejection data of 60ml JYP round bottle in MTTS1 last july 9,2016 and identify the vital few types of rejects TYPES OF DEFECTS # OF REJECTS Blackspots 2101 Misblow 506 Underweight 253 IMF 144 Eroded collar 52 Thin bottom 64 Flowlines 1131arrow_forward
- A machine cuts circular filters from large rolls of material. The diameters of the filters are normally distributed with a mean of 2.00 cm and a standard deviation of 0.02 cm. Specifications call for the filters to have diameters between 1.95 cm and 2.03 cm. What percent of production does not meet specificationsarrow_forwardWhat is the purpose of a pattern test?arrow_forwardEttlie Engineering has a new catalyst injection system for your countertop production line. Your process engineering departmenthas conducted experiments and determined that the mean is 8.01 grams with a standard deviation of .03. Your specificationsare: m = 8.0 and s = .04, which means an upper specification limit of 8.12 [ = 8.0 + 3(.04)] and a lower specification limit of7.88 [= 8.0 - 3(.04)].What is the Cpk performance of the injection system?arrow_forward
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