Operations Management
Operations Management
13th Edition
ISBN: 9781259667473
Author: William J Stevenson
Publisher: McGraw-Hill Education
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Chapter 10, Problem 4CTE
Summary Introduction

To determine: The situations where quality control charts are needed.

Introduction: Quality is a measure of excellence or a state of being free from deficiencies, defects and important variations. It is obtained by consistent and strict commitment to certain standards to attain uniformity of a product to satisfy consumers’ requirement.

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Describe a control chart and illustrate with an example. What are the differences between a control cart and a run chart.
From the list below of the data being collected, identify which data would be appropriate for X-bar and R control charts: Select ALL correct answers. Fluid ounces in a bottle of detergent Temperature of the fryer oil at the Lay's potato chip plant Number of mistakes per article in a newspaper Percentage of flights that were not on-time for an airline Pizzas not made to order for a local pizzeria Weight of a bag of chips. Density of a golf ball Percentage of patients that had a medication error during their hospital stay     SECOND PART   From the list below of the data being collected, identify which data would be appropriate for a P chart: Select ALL correct answers. Fluid ounces in a bottle of detergent Temperature of the fryer oil at the Lay's potato chip plant Number of articles with mistakes per every 100 sampled at a newspaper Percentage of flights that were not on-time for an airline Pizzas not made to order for a local pizzeria…
Control charts for X-bar and R, using a subgroup size of 5, are to be applied to control thecritical dimension of a certain manufacturing process. Specifications call for a nominal dimension of1,250.000 + 0.050 mm. The process is believed to have a σ of 0.015 mm Determine appropriate control limits for the X-bar and R charts. a) After 12 subgroups have been drawn and X-bar and R plotted on the charts, a computation of X-double bar give 1,250.015. b1) What is the probability that a value of X-bar will fall within the limits if this is the true value of the mean setting? b2) What is the probability that all 12values fall within the control limits? b) Make the necessary calculations to determine if the process can meet specifications by solvingfor Cp, Cpu, CpL, Cpk . Assume a normal distribution of product output. Illustrate how the processwould look like relative to the result of the computations of the process capability analysis.
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