Cheswa Review
.xlsx
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School
University of Manitoba *
*We aren’t endorsed by this school
Course
222
Subject
Industrial Engineering
Date
Apr 3, 2024
Type
xlsx
Pages
18
Uploaded by ProfessorGalaxyOkapi5
dua mfr has the following forecast for pumps to be made for next yr
month
level prod
inv
inv costt
reg prod ot prod
contractingreg cost
ot cost
1
3006
3013
1107
22140
2500
250
263
100000
25000
2
2400
3013
1720
34400
2500
250
263
100000
25000
3
3400
3013
1333
26660
2500
250
263
100000
25000
4
4000
3013
346
6920
2500
250
263
100000
25000
5
1900
3013
1459
29180
2500
250
263
100000
25000
6
5000
3013
-528
132000
2500
250
263
100000
25000
7
1700
3013
785
15700
2500
250
263
100000
25000
8
2900
3013
898
17960
2500
250
263
100000
25000
9
3700
3013
211
4220
2500
250
263
100000
25000
10
5250
3013
-2026
506500
2500
250
263
100000
25000
11
2500
3013
-1513
378250
2500
250
263
100000
25000
12
1500
3013
0
0
2500
250
263
100000
25000
3013.00
backlog
emp =100 full time
-4067
back log costt
1016750
inv holding cost =$20 per unit
cos of inv 157180
263 < 15% of 2500
contracting out is allowed but cost $120 per unit
overtime is allowed and costs 100 per unit
cost per unit reg = 1000/25
back order penalty =$250 per unit
full time salary per month = 1000 dollars
during regular time emp can produce 25 units per month contracting out can not be more than 15% of regular prod in any month
overtime production can not be more than 10% of reg production in any month
starting inventory =1100
use level strategy to solve
backlog total?
contracting cost
31560
31560
31560
31560
31560
31560
31560
31560
31560
31560
31560
31560
so all good
40 best cost so we use up reg cap 1st also as we pay workers no matter what use i
then 100 O T
only then 120 contracting out
shirt making company weekly quality tested by choosing 5 shirts each week parameter checked is legth
defects
sample #
length of the shirt in inches
x barrange 1
28.2 28.94 28.61 28.55 28.29
28.5
0.8
2
28.2
28.3 28.07 28.85 28.01
28.3
0.8
3
28.3 28.69 28.62 28.16 28.56
28.5
0.5
4
28.4 28.99 28.26 28.07 28.79
28.5
0.9
5
28.5 28.16 28.11 28.33 28.72
28.4
0.6
6
28.9 28.19 28.28 28.47 28.94
28.6
0.7
7
28.3 28.22 28.09 28.34
28.9
28.4
0.8
8
29.0 28.19 28.24 28.93 28.99
28.7
0.8
9
28.6 28.86 28.84 28.82 28.28
28.7
0.6
10
28.9 28.39 28.74 28.06 28.06
28.4
0.8
x bar bar 28.5
rbar
0.7
x bar chart
r chart
UCL
=xbarbar+A2*rbar
28.91
UCL
=D4 *R CL
28.5
CL
0.7
LCL
X bar bar-A2 Rbar
28.05
LCL
D3* rba
q1) how can we improve quality in this situatation?
a) measure quality by creating a control chart
what type : variable chart; xbar chart
x bar chart optimal n = 4
as the quality improves the r chart will show points moving clos
as the quality improves the x bar chart will show points moving
bar
1.576
ar
0
n=
5
ser to LCL
closer to CL
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