SPC_BUAD620_Case_Team7
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School
University of Delaware *
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Course
620
Subject
Industrial Engineering
Date
Jan 9, 2024
Type
pptx
Pages
9
Uploaded by chatgpt70
SPC Case
Aksel Dirkzwager
Connor Feeny
Pablo Fraga
Anmol Nahariya
Part I: Excel Logistics Services
Q1.
Control Chart
a) Exhibit 3 (Overall Performance)
Conclusion:
For Overall
Performance, this chart looks
relatively in control. There are no
points below the lower limit, and,
while there are a few points near
the upper limit, they do not
surpass the upper limit.
The points also look to be
relatively randomly distributed
around the center line.
Excel Logistics Services
Q1.
Control Chart
b) Exhibit 4 (Module 1
Performance)
Conclusion:
For Exhibit B, the P
Chart looks to be a little out of
control. There are multiple points
that are outside of the upper limit,
which would suggest that the
process is not in control.
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Excel Logistics Services
Q1.
Control Chart
c) Exhibit 5 (Module 3
Performance)
Conclusion:
The Exhibit 5 chart
looks to be the most not in control
of the three charts. It has several
points well outside the upper limit.
The chart also has several
consecutive points that are falling
on one side of the centerline,
which also suggests a process that
is not in control.
Excel Logistics Services
Q2.
Probability of the Sample Proportion
of Errors falling below 1.75%
Probability = 0.32
Q3.
Pareto Chart Findings
As depicted in the image, 'Other errors'
account for the highest number of errors,
constituting approximately 37% of the
total errors. This is notably significant,
signifying that over one-third of all errors
fall into this category.
This ‘Other Errors’ category should
definitely be investigated further, as it
has a meaningful impact on total errors,
and its high percentage of total errors
suggests that ‘Other Errors’ is not a
meaningful name for the category as it
accounts for the highest percentage of
errors. There must be a way to split this
category up further.
Part II: HH Industries
Q4. First Shift Control Charts
Overall, the first shift charts look relatively in control.
There are no points above the upper limit and no
points below the lower limit.
It does make sense seeing this first shift be in control,
as the regular shift supervisor is very diligent and has
worked at the company for years, so they know how
to effectively run their process.
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HH Industries
Q5. Second Shift Control Charts
The second shift charts do not look in control. When
you especially look at the R Chart for the second
shift, the points follow a similar pattern throughout,
which does not suggest a random distribution or a
process that is in control.
This makes sense since we know that the company
just added this second shift, which is run by
completely different employees than the first shift,
and the supervisor is a recently trained senior
employee. So there is not much experience with this
shift, which could lead to a process that is not in
control.
HH Industries
Q6. Proportion of Bags weighing less than 40lbs
-
68/400 =
17.00%
Q7. How many bags will be defective on a DPMO basis?
-
170,000
defective bags on a DPMO basis.
-
17% of 1,000,000
Q8. What USL value would result in a Cp of at least 1?
-
USL = 46.06
Q9. Is the previously determined USL sound?
-
The previously found USL is not sound as it is higher than the 40lbs advertised by the
company.
HH Industries
Q10. What is the Capability Index (Cpk) for the bagging process for
the first shift?
-
CPU = 46.06 - 41 / 3*1.01 = 1.6699
-
CPL = 41 - 40 / 3*1.01 = 0.330
-
Cpk = Min(CPL , CPU) = 0.330
Q11. Change in the bagging process variability for the actual
capability to reach a value of at least 1?
-
CPL = XBarBar - LSL / 3*(RBar/D2)
-
1 = 41 - 40 / 3*(Rbar/3.078)
-
RBar = 1.026
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