EBK PRINCIPLES OF OPERATIONS MANAGEMENT
11th Edition
ISBN: 9780135175859
Author: Munson
Publisher: VST
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Chapter 10, Problem 2P
Summary Introduction
To draw: A process chart for changing the right rear tire on an automobile.
Introduction: A process chart is a type of chart that would use symbols to represent the movement and action of people. It helps to identify the non-value added activities. Thus, it is possible to make the process more efficient by avoiding redundant steps.
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Chapter 10 Solutions
EBK PRINCIPLES OF OPERATIONS MANAGEMENT
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- A few remarks about process identification.arrow_forwardWhich of these is an example of a benchmark? mature tree residential structure wooden stake placed by a surveyor engraved brass disc placed by the U.S. Geological Surveyarrow_forwardonline EXERCISE #8 Operations department of Express Malam has carefully tracked the length of rail express delays. The most current data x chart k chart are given below. Sample Number Observations (minutes late) 1 2 1 10.1 19.3 8.1 21.2 32.1 20.2 94.1 35.8 43.1 26.7 3 4 a) Develop X chart for the process using 35 control limits. b) Develop an R chart for the prrocess using 35 control limits. c) What conclusions can be drawn? Solutions: Stop or what ? Observation Sample Number 1 X-bar R. 1 10.1 20.2 19.3 94.1 35.8 43.1 3 8.1 4 21.2 32.1 26.7 Total X-Double Bar R-Bararrow_forward
- Conduct brief research on four charts that are, or can be used in how each one can be used in the healthcare profession and why they would add value to the anaysis of a process outcome and provide data to guide process improvements The charts are: Run Chart Gantt Chart Pareto Chart Control Chart Demonstrate your skills in conducting an analysis of these charts. Please provide an explanation of the charts and identify how each one can be used in your field and why they would add value to the analysis of a process outcome and provide data to guide process improvements.arrow_forwardIdentify how each one of these charts Run chart, Gantt Chart, Pareto Chart and Control chart can be used in the healthcare field and why they would add value to the analysis of a process outcome and provide data to guide process improvements.arrow_forwardInter-State Moving and Storage Company wishes to establish a control chart to monitor the proportion of residential moves that result in written complaints due to late delivery, lost items, or damaged items. A sample of 40 moves is selected for each of the last 12 months. The number of written complaints in each sample is 9, 7, 4, 9, 1, 9, 11, 5, 5, 8, 7, and 15. Number Defective Percent defective 9 18 7 14 4 8 9 18 1 2 9 18 11 22 5 10 5 10 8 16 7 14 15 30 a. Insert the mean proportion defective, UCL, and LCL. (Leave no cells blank - be certain to enter "0" wherever required. Round your intermediate calculations and final answers to 2 decimal places.) Mean proportion defective UCL LCL c. Does it appear that the number of complaints is out of control for any of the months?multiple choice Yes Noarrow_forward
- Why it is important to select the correct data when creating a chart?arrow_forwardStudy the types of charts for a new business normally uses. Are they more likely to be pie charts, bar charts, line charts, or some other types of charts?arrow_forwardHow is a crosscheck performed? Group of answer choices -An anova test -Through a chi-square test -A t-chart analysis -Adding rows across and columns down and comparing the resultsarrow_forward
- The upper and lower limits for diving ring diameters made by John's Swimming Co. are 40 and 39 cm., respectively. John took 11 samples with the following average diameters (39, 39.1, 39.2, 39.3, 39.4, 39.5 39.6, 39.7, 39.8, 39.9, 40). Calculate for the UCL and LCL. Is the process in control?arrow_forwardIdentify 3 measures of the process. Identify a direct measure of process capability. Identify 3 sources of common cause variation in the process. Give an example of a special cause that could result in process not performing as intended.arrow_forwardFactors for computing control chart limits are provided in Table E1 below. Table E1: Factors for Computing Control Limits (3 sigma) Sample Size, n Mean Factor, A2 Upper Range, D4 Lower Range, D3 2 1.880 3.268 0 ♡ 1.023 2.574 st 4 0.729 2.282 0 5 0.577 2.115 0 6 0.483 2.004 0 7 0.419 1.924 0.076 8 0.373 1.864 0.136 a 0.337 1.816 0.184 10 10 0.308 1.777 0.223arrow_forward
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