CASE 7 – QUALITY ASSOCIATES INC.
BACKGROUND (CASE STUDY WRITE UP)
Quality Associates, Inc. is a consulting firm who advises its clients about statistical and sampling methods that can be used to control their manufacturing procedures. In this particular case we consider a production line designed to fill bottles of a shampoo with a mean weight of 12 ounces of shampoo per bottle. Quality Associates, Inc. made a quality control testing of the manufacturing machine of this client (Alibaba Machinery), to determine if the process is operating properly or if, perhaps, a machine malfunction has caused the process to begin underfilling or overfilling the bottles. The client picked a sample of 800 bottles taken during a time when the machine was
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and 12.10fl.oz.
LIMITATIONS
The quality control inspection in this case study does not consider the quality of the shampoo which is being poured into the bottles; this is assumed to be constant. Moreover, the quality of the bottle (i.e. no defect) and proper labeling are not considered in this study, but also assumed to be constant.
Another limitation may be the systematic sampling method used to collect each sample. One of the conditions that should be satisfied when a random sample is selected from an infinite population is that each element selected comes from the same population. To ensure that this condition is satisfied, the bottles must be selected at approximately the same point in time (p. 270). This is so that the inspector avoids the possibility of selecting some bottles when the machine is operating properly, and other bottles when the machine is not operating properly and is underfilling or overfilling the bottles. In the methodology assumed to be used for this case study, the 30 bottles selected for each sample are selected within a period of one hour.
PRELIMINARY FINDINGS:
(OUR DESCRIPTIVE STATISTICS ----- TABLES & GRAPHS
Analysis & Interpretation of table & graphs in relation to solving the issue raised at the start.
Box plots (p. 112): (i) Sample 4 has the highest bottle weights. The lowest bottle weights are in Sample 3. (ii) Sample 4 has the highest median weight, followed by Sample 2, and then Samples
4. Based on your analysis in (1) – (3) above, what is your overall conclusion regarding the
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6. Although you are basically satisfied with the analysis thus far, you are concerned about the
Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle.
The analysis of the primary research report is done in the form of a graph (figure 1). Each of the four analysis areas is rated within a scale of 1-10; 1 denotes extremely weak while 10 denotes very strong. Table 1 then gives
a. It should be split between the right and left tails, with .05 appearing in each tail.
A few weeks earlier, John M. Case, board chairman, president, and sole owner of the
03/11/17 Dr. Shaughnessy communicate he received a credit bill showing 5 nights at the Gaylord $1,427.80 for SBIR meeting in May. Gaylord used Dr. Shaughnessy credit card to guarantee Pamela Clark, and Ravi’s room. Interesting because original reservations were done with individual’s credit cards although the reservation Gaylord sent does not display an credit card information not even the last four digits on the
33 3.2.2 Sampling details .......................................................................................35 3.3 Data collection
Goal: Reduce product variance and the need for rework by implementing a company-wide quality control system that includes an element of Statistical Process Control. A secondary goal is to reduce waste by focusing on Lean
Quality Associates, Inc., a consulting firm, advises its clients about sampling and statistical procedures that can be used to control their manufacturing processes. IN one particular application, a client game quality associates a sample of 800 observations taken during a time in which that client's process was operating satisfactorily. The sample standard deviation for there data was .21 ; hence, with so much data, the population standard deviation was assumed to be .21. Quality associates then suggested that random samples of size 30 be taken periodically to monitor the process on an ongoing basis. BY analyzing the new samples, the client could quickly learn whether the process was operating satisfactorily. when the process was not
Tiger Tools company, a subsidiary of the Drillmore Industries, was about to launch a new product. In this regard, the Production Manager asked her assistant Jim Peterson to evaluate the capability of the existing equipment used in the process. He proceeded to obtain eighteen random samples and the results of these samples were put in a table. His subsequent conclusion after analyzing the data would be that the process was not capable. This was on the basis of the width specification of 1.44 cm.
1. Barry reached into his bag of M&Ms and pulled out three pieces of candy, each of which was red. All of the M&Ms in Barry's bag are the (sample/population) of M&Ms. The three that he took out are the (sample/population).
1. A representative sample was chosen by quartering (according to BS 812: Part 102: 1984) or by use of a sample splitter (Fig. 2C1-3). The sample to be tested should be the approximate weight desired when dry. For this experiment, about 3 kilograms of coarse aggregate was weighed.