Concept explainers
(a)
Interpretation: As there was a concern pertaining to the number of faults in the billing process of Data Tech Credit Card Service Company, the manager of customer service has done a random inspection on 250 statements, for errors, that has happened to wrong entries that involved penalty charges, account numbers, charges levied on interests and customer account transactions. If there are one or more the errors, in the heads mentioned above, then that statement is considered as a defect. The Table 3.5 represents the data collected from the study for the last 30 days. A p-chart for the billing process needs to be constructed.
Sample | Number of errors in Sample of 250 | |||||||||
1 − 10 | 3 | 8 | 5 | 11 | 7 | 1 | 12 | 9 | 0 | 8 |
11 − 20 | 3 | 5 | 7 | 9 | 11 | 3 | 2 | 9 | 13 | 4 |
21 - 30 | 12 | 10 | 6 | 2 | 1 | 7 | 10 | 5 | 8 | 4 |
Table 3.5
Concept Introduction: A process is analyzed between the limits of control and evaluated whether the same is under control or not, identifying the count of defects present. A p-chart reflects the proportion of defects that a process has.
(b)
Interpretation: As there was a concern pertaining to the number of faults in the billing process of Data Tech Credit Card Service Company, the manager of customer service has done a random inspection on 250 statements, for errors, that has happened to wrong entries that involved penalty charges, account numbers, charges levied on interests and customer account transactions. If there are one or more the errors, in the heads mentioned above, then that statement is considered as a defect. The Table 3.5 represents the data collected from the study for the last 30 days. Any non-random behavior in the billing process that would require management attention needs to be found out.
Sample | Number of errors in Sample of 250 | |||||||||
1 − 10 | 3 | 8 | 5 | 11 | 7 | 1 | 12 | 9 | 0 | 8 |
11 − 20 | 3 | 5 | 7 | 9 | 11 | 3 | 2 | 9 | 13 | 4 |
21 - 30 | 12 | 10 | 6 | 2 | 1 | 7 | 10 | 5 | 8 | 4 |
Table 3.5
Concept Introduction: A process is analyzed between the limits of control and evaluated whether the same is under control or not, identifying the count of defects present. A p-chart reflects the proportion of defects that a process has.
Want to see the full answer?
Check out a sample textbook solutionChapter 3 Solutions
Operations Management: Processes and Supply Chains, Student Value Edition Plus MyLab Operations Management with Pearson eText -- Access Card Package (12th Edition)
- Irregularities (oil stains, shop soil, loose ends, dark spots) per 10 metres of the product. x-bar chart p-chart c-chart none of the abovearrow_forwardWhat is a P-chart used for?arrow_forwardQuality manager at Ford Motors inspects vehicles and count the number of defects/scratches on the surface of cars. What type of control chart is appropriate? a. c-chart b. x-bar chart c. r-chart d. p-chartarrow_forward
- Discuss how can a Pareto chart used to improve quality?arrow_forwardConstruct an x-R chart for the following data set. Note: Leave no cells blank - be certain to enter "O" wherever required. Do not round intermediate calculations. Round your answers to 2 decimal places. Sub group Number 6:00 10:00 1 14.0 12.6 14:00 13.2 18:00 22:00 Χ R 13.1 12.1 13.00 1.9 2345678OGENEN2222222222 13.2 13.3 12.7 13.4 12.1 12.94 1.3 13.5 12.8 13.0 12.8 12.4 12.90 1.1 13.9 12.4 13.3 13.1 13.2 13.18 1.5 13.0 13.0 12.1 12.2 13.3 12.72 1.2 13.7 12.0 12.5 12.4 12.4 12.60 1.7 13.9 12.1 12.7 13.4 13.0 13.02 1.8 13.4 13.6 13.0 12.4 13.5 13.18 1.2 9 14.4 12.4 12.2 12.4 12.5 12.78 2.2 10 13.3 12.4 12.6 12.9 12.8 12.80 0.9 11 13.3 12.8 13.0 13.0 13.1 13.04 0.5 12 13.6 12.5 13.3 13.5 12.8 13.14 1.1 13 13.4 13.3 12.0 13.0 13.1 12.96 1.4 14 13.9 13.1 13.5 12.6 12.8 13.18 1.3 15 14.2 12.7 12.9 12.9 12.5 13.04 1.7 16 13.6 12.6 12.4 12.5 12.2 12.66 1.4 17 14.0 13.2 12.4 13.0 13.0 13.12 1.6 18 13.1 12.9 13.5 12.3 12.8 12.92 1.2 19 14.6 13.7 13.4 12.2 12.5 13.28 2.4 20 13.9 13.0 13.0 13.2…arrow_forwardWhat is the significance of Deming’s quality of conformance category of quality efforts in improving quality within an organization?arrow_forward
- Please do not give solution in image format thankuarrow_forwardb) The data in Table 4(b) shows the number of nonconforming ties in a sample of size 500, following 100% inspection, over 20 days; Number of Day Nonconformities 1 13 10 25 4 12 12 6. 9 7 11 8. 13 9. 11 10 16 11 13 12 10 13 14 14 15 15 10 16 17 17 18 12 19 12 20 13 Table 4(b) Page 6 of 8 i. Calculate the UCL and LCL for this data ii. Plot a fraction non-conforming control chart for the data. If there are any points that plot outside of the control limits, assume assignable causes can be found and recalculate the limits. ii.arrow_forwardplease answer within 30 minutes.arrow_forward
- DEFINE: Typical descriptive research measuring tools 1. Descriptive statistics 2. Frequency table (with frequency and percent) 3. Charts (pie chart, bar chart, histogram, etc.) 4. Mean interpretation table (with the scale, its range for measurement purposes, scale description, and the mean interpretation) Typical correlational and comparative research measuring tools 1. Correlations 2. t-Test (paired samples, independent samples t-test) – for independent samples t-test, the grouping variable should be two categories only. 3. Analysis of variance (ANOVA) 4. Scales reliability test (interval or ratio scaled data) 5. Factor analysis 6. Normality test 7. Multiple regression analysisarrow_forwardDevelop a fish-bone diagram illustrating the quali ty variablesfor a patient who just gave birth at Arnold Palmer Hospital (orany other hospital).arrow_forward621 Daily samples of 100 power drills are removed from Drill Master's assembly line and in- spected for defects. Over the past 21 days, the following information has been gathered. Develop a 3 standard deviation (99.73% confidence) p-chart and graph the samples. Is the process in control? Number of Defective Drills Number of Defective Drills Day Day 6. 12 13 4 5. 14 3 15 16 17 6. 18 5. 8. 19 9. 20 3 10 21 7 11 643t n36 37 123 456Narrow_forward
- Practical Management ScienceOperations ManagementISBN:9781337406659Author:WINSTON, Wayne L.Publisher:Cengage,Operations ManagementOperations ManagementISBN:9781259667473Author:William J StevensonPublisher:McGraw-Hill EducationOperations and Supply Chain Management (Mcgraw-hi...Operations ManagementISBN:9781259666100Author:F. Robert Jacobs, Richard B ChasePublisher:McGraw-Hill Education
- Purchasing and Supply Chain ManagementOperations ManagementISBN:9781285869681Author:Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. PattersonPublisher:Cengage LearningProduction and Operations Analysis, Seventh Editi...Operations ManagementISBN:9781478623069Author:Steven Nahmias, Tava Lennon OlsenPublisher:Waveland Press, Inc.