ABC company, a textilemanufacturing company, hasrecorded defects in their productionfor a month as shown in the tablebelow. Following Pareto Analysis,which among the type/s of defectsshould be solved first to solve 80% ofthe problem?DEFECTFREQMISPRINTING55SHADE VARIATION38UNEVEN DYEING10DROP STITCHING5DIRT/STAINS2

Given: Defect FREQ Misprinting 55 Shade Variation 38 Uneven Dyeing 10 Drop Stitching 5…

Answered: ABC company, a textile manufacturing…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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Refer to Table S6.1 - Factors for Computing Control Chart Limits (3 sigma) for this problem. Sample Size, n Mean Factor, A2 Upper Range, D4 Lower Range, D3 2 1.880 3.268 0 3 1.023 2.574 0 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 9 0.337 1.816 0.184 10 0.308 1.777 0.223 12 0.266 1.716 0.284 Auto pistons at Wemming Chung's plant in Shanghai are produced in a forging process, and the diameter is a critical factor that must be controlled. From sample sizes of 10 pistons produced each day, the mean and the range of this diameter have been as follows: Day Mean Bold x overbarx (mm) Range R (mm) 1 154.9154.9 4.04.0 2 151.2151.2 4.44.4 3 153.6153.6 3.93.9 4 155.5155.5 5.05.0 5 158.6158.6 4.3 a) What is the value of x? X = ____ mm b) What is the value of R? R =…
Problem 10-21 (Algo) A process that produces computer chips has a mean of .04 defective chips and a standard deviation of .003 chips. The allowable variation is from .035 to .045 defective. a.Compute the capability index (Cp) for the process. (Round your intermediate calculations to 3 decimal places and final answer to 2 decimal places.) Capability index b. Is the process capable? Hint. Use 1.33 as the standard capabality index. O No Ⓒ Yes
8 specimens were taken from a production line. Each specimen consists of 45 mechanical parts. After inspection, it was found that each specimen consists of some defective parts. Develop a P chart with a 3 sigma level. Specimen A BCDEFGH Defects: 56428 10 12 9
The manager of the customer service department of Data Tech Credit Card Service Company is concerned about the number of defects produced by the billing process. Every day a random sample of 250 statements was inspected for errors regarding incorrect entries involving account numbers, transactions on the customer’s account, interest charges, and penalty charges. Any statement with one or more of these errors was considered a defect. The study lasted 30 days and yielded the data in Table. Sample Data For Data Tech Credit Card Service Samples 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 a. Construct a p-chart for the billing process.b. Is there any nonrandom behavior in the billing process that would require management attention?
Builder UB, situated in Toronto, specialises in home and land packages throughout the North and South Islands. The team in charge of construction inspection examined a sample of newly constructed homes for flaws and leaks. Ten samples were examined for flaws or compliance issues. Each sample had a 50-unit size. The outcomes are listed below. Please offer your thoughts on C and P charts for process control.
Compare and contrast Design for Six Sigma (DSS) and Taguchi robustness concepts. How are they different, how are they the same? Does one of these methodologies appeal to you over the other? Why?
mean for samples 7,8,9 and 12 are wrong and also can you determine the UCL AND LCL for R-chart?
8. Given the following data for the number of defects per spool of cable, using three-sigma limits, is the process in control? OBSERVATION 1 2 3 4 5 7 8 9 11 12 13 Number of defects 2 3 1 0 1 2 0 2 3 1 2 6 3 10 1 14 0
Ten samples of 15 parts each were taken from an ongoing process to establish a p-chart for control. The samples and the number of defectives in each are shown in the Table 1:Table 1. Sample n Number of Defective Items in the Sample 1 15 3 2 15 1 3 15 0 4 15 0 5 15 0 6 15 2 7 15 0 8 15 3 9 15 1 10 15 0 a. Develop a p-chart for 95 percent confidence (1.96 standard deviation).b. Based on the plotted data points, interpret the results.
A shirt manufacturer buys cloth by the 100-yard roll from a supplier. For setting up a control chart to manage the irregularities (e.g., loose threads and tears), the following data were collected from a sample provided by the supplier. SAMPLE 1 2 3 4 5 6 7 8 9 10 IRREGULARITIES 3 5 2 6 5 4 6 3 4 5 Determine the c¯�¯ , Sc�� , UCL and LCL for a c-chart with z = 2. Note: Round your answers to 2 decimal places. Suppose the next five rolls from the supplier had three, two, five, three, and seven irregularities. Is the supplier process under control? multiple choice Yes No
A shirt manufacturer buys cloth by the roll from a supplier. For setting up a control chart to manage the irregularities (e.g., loose threads and tears), the following data were collected from a sample provided by the supplier. Sample Irregularities 1 2 2 1 3 4 4 2 5 0 6 4 7 3 8 0 9 2 10 1 Total 19 Calculate the LCL and UCL for a c-chart with z=2 LCL= 0, UCL = 4.66 LCL= 0, UCL = 3.28 LCL= -0.86, UCL = 3.28 LCL= -0.86, UCL = 3.51 LCL= -0.86, UCL = 4.66
A hospital manager receives a certain number of complaints each day about the hospitals service. Complaints for 15 days are given in the table shown. What are the control limits when one will construct a control chart using three sigma limits? Days Number of Complaints 1 4 2 6 3 4 4 5 5 4 6 8 7 6 8 7 9 5 10 3 11 5 12 4 13 4 14 6 15 4

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