In your report you need to consider the following for both sets of data: 1. Is the process in control? Explain. 2. Explain your findings and the consequences. 3. How could implementing TQM help the company?

MATLAB: An Introduction with Applications
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Case Study 2: Quality Management
Your line manager has become increasingly concerned about the product and service
quality. This results from a surge in the number of customers who have contacted her to
highlight problems they have encountered while shopping at the Pet Kingdom store. The
complains seem to focus on two areas; billing errors being made at the checkout and
variations in the weight of Pet Kingdom branded dried dog food bags. To better understand
the situation, Ms Lionheart has requested detailed data to be collected. Table 3 shows the
data from the audit of 50 random bills per day issued over the past 30 days. Table 4
presents the weight sampling data (mean and range in kg) for 27 random samples of five
observations each taken from the daily dog food deliveries.  
Ms Lionheart noticed that the number of billing errors increased in the last third of the
month. She knows that the company wants high quality standards and wonders if both
processes meet 3 sigma standards. She wants you to analyse the available data and produce
a short report (1,000 words ± 10%) with all relevant tables and figures, to address the
highlighted issues.  
In your report you need to consider the following for both sets of data:
1. Is the process in control? Explain.
2. Explain your findings and the consequences.
3. How could implementing TQM help the company?
Table 3: Number of incorrect bills issued at checkout (50 observations)
Day Number of
Incorrect Bills Day Number of
Incorrect Bills Day Number of
Incorrect Bills
1 2 11 1 21 3
2 2 12 2 22 3
3 1 13 3 23 3
4 2 14 3 24 4
5 2 15 2 25 5
6 3 16 3 26 5
7 2 17 2 27 6
8 2 18 2 28 8
9 1 19 1 29 5
10 2 20 3 30 5
Table 4: Dog food weight (kg) samples (5 observations)
Sample Mean Range Sample Mean Range
1 44.96 0.42 15 45.00 0.39
2 44.98 0.39 16 44.95 0.41
3 44.96 0.41 17 44.94 0.43
4 44.97 0.37 18 44.94 0.40
5 45.02 0.39 19 44.73 0.38
6 45.03 0.40 20 44.95 0.41
7 45.04 0.39 21 44.93 0.39
8 45.02 0.42 22 44.96 0.41
9 45.08 0.38 23 44.99 0.40
10 45.12 0.40 24 45.00 0.44
11 45.07 0.41 25 45.03 0.42
12 45.02 0.38 26 45.04 0.38
13 45.01 0.41 27 45.03 0.40
14 44.98 0.40  

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