Practical Management Science
6th Edition
ISBN: 9781337406659
Author: WINSTON, Wayne L.
Publisher: Cengage,
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Chapter 3.7, Problem 12P
Summary Introduction
To track: The computers produced in row 21 by varying the cost per assembling labor hour from $5 to $20 in increment of $1.
Introduction: In linear programming, the unbounded solution would occur when the objective function is infinite. If no solution satisfied the constraints, then it is said to be an unfeasible solution.
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The fixed and variable costs for three potential manufacturing plant sites for a rattan chair weaver are shown:
Site
Fixed Cost Per Year
Variable Cost per Unit
1
$700
$12.00
2
$1,000
$7.00
$2,200
$5.00
a) After rounding to the nearest whole number, site 1 is best below
After rounding to the nearest whole number, site 2 is best between
After rounding to the nearest whole number, site 3 is best above
b) If the demand is 590 units, then the best location for the potent
3
units.
and
units.
600
0
60
units.
g plant is
Refer to Table S6.1 - Factors for Computing Control Chart Limits (3 sigma) for this problem.
Sampling 4 pieces of precision-cut wire (to be used in computer assembly) every hour for the past 24 hours has produced the following results:
Hour
R
Hour
X
R
Hour
X
R
Hour
X
R
1
3.25"
0.71"
7
3.15" 0.58"
13
3.11" 0.85"
19
4.51"
1.56"
2
3.20
1.18
8
2.65 1.08
14
2.83 1.31
20
2.79
1.14
3
3.12
1.38
9
15
4.
3.39
1.31
10
5
2.97
1.17
6
2.76
0.32
3.02 0.71
3.12 1.01
2.75 1.33 16 2.74 0.50 22
11 2.73 1.17 17 2.76 1.43 23
12 2.87 0.45 18 2.64 1.24
21
2.75
1.03
3.18
0.46
2.94
1.53
24
2.54
0.97
Based on the sampling done, the control limits for 3-sigma x chart are (round all intermediate calculations to three decimal places before proceeding with further calculations):
Upper Control Limit (UCL) =
inches (round your response to three decimal places).
Lower Control Limit (LCL) =
inches (round your response to three decimal places).
Based on the x-chart, the wire cutting process has been
The control limits…
Choose a specific cars company. E.g Toyota, Volkswagen, Hyundai, Mercedes-Benz, BMW, Honda, Ford, Audi, Tesla
Define a list of required machinery, equipment, workstations, offices, rest areas, materials, etc.
Develop and define the location of machinery, equipment, workstations, offices, rest areas, materials.
Make the distribution in the manufacturing facility the most efficient way possible.
Develop a process distribution for one specific product.
Explain why you consider this is the most efficient distribution for this specific manufacturing facility.
demonstrate the benefits of optimizing a production line with the best distribution of its equipment and spaces. To be more productive and profitable.
Chapter 3 Solutions
Practical Management Science
Ch. 3.6 - Prob. 1PCh. 3.6 - Prob. 2PCh. 3.6 - Prob. 3PCh. 3.6 - Prob. 4PCh. 3.6 - Prob. 5PCh. 3.6 - Prob. 6PCh. 3.6 - Prob. 7PCh. 3.6 - Prob. 8PCh. 3.6 - Prob. 9PCh. 3.7 - Prob. 10P
Ch. 3.7 - Prob. 11PCh. 3.7 - Prob. 12PCh. 3.7 - Prob. 13PCh. 3.7 - Prob. 14PCh. 3.7 - Prob. 15PCh. 3.7 - Prob. 16PCh. 3.7 - Prob. 17PCh. 3.8 - The Pigskin Company produces footballs. Pigskin...Ch. 3.8 - The Pigskin Company produces footballs. Pigskin...Ch. 3.8 - The Pigskin Company produces footballs. Pigskin...Ch. 3.8 - Prob. 21PCh. 3.8 - Prob. 22PCh. 3.8 - Prob. 23PCh. 3.8 - Prob. 24PCh. 3 - Prob. 25PCh. 3 - Prob. 26PCh. 3 - Prob. 27PCh. 3 - Prob. 28PCh. 3 - Prob. 29PCh. 3 - Prob. 30PCh. 3 - Prob. 31PCh. 3 - Prob. 32PCh. 3 - Prob. 33PCh. 3 - Prob. 34PCh. 3 - Prob. 35PCh. 3 - Prob. 36PCh. 3 - Prob. 37PCh. 3 - Prob. 38PCh. 3 - Prob. 39PCh. 3 - Prob. 40PCh. 3 - Prob. 41PCh. 3 - Prob. 42PCh. 3 - Prob. 43PCh. 3 - Prob. 44PCh. 3 - Prob. 45PCh. 3 - Prob. 46PCh. 3 - Prob. 47PCh. 3 - Prob. 48PCh. 3 - Prob. 49PCh. 3 - Prob. 50PCh. 3 - Prob. 51PCh. 3 - Prob. 52PCh. 3 - Prob. 1C
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