Instructions -
1. Case Study 1: A well-known manufacturer of heavy trucks wants to determine if its manufacturing processes are in control. To do so, they determined the daily proportion of trucks with defects to the total number of vehicles produced. Using a p-chart, determine if the process is stable (in control), if it is not, explain why.
|
Defective trucks per day
|
Trucks built per day
|
|
12
|
78
|
|
15
|
69
|
|
19
|
75
|
|
13
|
73
|
|
9
|
71
|
|
26
|
79
|
|
18
|
68
|
|
14
|
73
|
|
17
|
76
|
|
18
|
78
|
|
16
|
73
|
|
24
|
81
|
|
11
|
76
|
|
31
|
82
|
2. Case Study 2: The accounts payable department of a construction firm is struggling to process invoices due to typos. Each invoice has the same number of potential defects (equal areas of opportunity). As the accounting manager, you decide to use a c-chart to analyze the data. Upon completing your analysis, determine if the process is stable (in control), if it is not, explain why.
|
Number of invoice typos
|
|
2
|
|
5
|
|
1
|
|
3
|
|
9
|
|
2
|
|
1
|
|
4
|
|
6
|
|
4
|
|
2
|
|
1
|
|
3
|
3. Enter the information into the related, specified charts, click on the "chart key," review and analyze the generated chart to determine if the process results suggest whether each of the processes are "in control" or not, and why.
4. Using one APA formatted paper respond to both case studies. Create a heading to separate information from each exercise. Each problem should include 1-2 pages of analysis with the associated graphs inserted. References are not required, however if used, should follow APA formatting standards.
Attachment:- Assignment File.rar