Operations and Supply Chain Management (Mcgraw-hill Education)
15th Edition
ISBN: 9781259666100
Author: F. Robert Jacobs, Richard B Chase
Publisher: McGraw-Hill Education
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Question
Chapter 14, Problem 1.3CQ
Summary Introduction
Case summary:
The case deals with the production flow of Company Q. It supplies two different types of gizmos for a computer manufacturer company. The manager of Company Q has the plan to install automated order system in order to control the inventories. The case further explains the production flow of both the type and the setup time and operations time.
To sketch: The operations of a pull system for running the current system of Company Q.
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Prepare a master schedule given this information: The forecast for each week of an eight-week schedule is 60 units. The MPS rule is
to schedule production if the projected on-hand Inventory would be negative without it. Customer orders (committed) are as follows:
Week Customer Orders
1
2
36
28
4
1
Use a production lot size of 85 units and no beginning inventory.
Note: In the ATP row, enter a value of 0 (zero) in any periods where ATP should not be calculated. Leave no cells blank - be certain
to enter "0" wherever required.
June
July
1
2
3
4
5
8
7
8
Forecast
60
60
60
60
60
60
60
60
Customer Orders
38
28
4
1
0
0
0
0
Projected On-Hand Inventory
MPS
ATP
Sales of tablet computers at Marika Gonzalez's electronics store in Washington, D.C., over the past 10 weeks are shown in the table below:
Week
1
2
3
4
5
6
7
8
9
10
Demand 21 21
27
38 25
30 35
24 25
30
a) The forecast for weeks 2 through 10 using exponential smoothing with a = 0.50 and a week 1 initial forecast of 21.0 are (round your responses to two decimal places):
Week
1
2
3
4
5
6
7
8
9
10
Demand 21
21
27
38 25
30
35
24 25 30
Forecast 21.0 21
21
24 31
28
29
32 28 26.50
b) For the forecast developed using exponential smoothing (a = 0.50 and initial forecast 21.0), the MAD = |||||sales (round your response to two decimal places).
Sales of tablet computers at Marika Gonzalez's electronics store in Washington, D.C., over the past 10 weeks are shown in the table below:
Week
Demand
1
2
3
4
5
6
7
8
9
10
21
21
27
38
25
30
35 24 25
30
a) The forecast for weeks 2 through 10 using exponential smoothing with a = 0.50 and a week 1 initial forecast of 21.0 are (round your responses to two decimal places):
Week
1
2
3
4
5
Demand 21 21
27 38
Forecast 21.0
☐ G
☐
☐
6
7
25 30 35
∞ ☐
8
9
10
24
25
30
Chapter 14 Solutions
Operations and Supply Chain Management (Mcgraw-hill Education)
Ch. 14 - Prob. 1DQCh. 14 - Prob. 2DQCh. 14 - Prob. 3DQCh. 14 - Prob. 4DQCh. 14 - Prob. 5DQCh. 14 - Prob. 6DQCh. 14 - Prob. 7DQCh. 14 - Prob. 8DQCh. 14 - Prob. 9DQCh. 14 - Prob. 10DQ
Ch. 14 - Prob. 11DQCh. 14 - Prob. 12DQCh. 14 - Prob. 13DQCh. 14 - Prob. 14DQCh. 14 - Prob. 15DQCh. 14 - Prob. 16DQCh. 14 - Prob. 17DQCh. 14 - Prob. 1OQCh. 14 - Prob. 2OQCh. 14 - Prob. 3OQCh. 14 - Prob. 4OQCh. 14 - Prob. 5OQCh. 14 - Prob. 6OQCh. 14 - Prob. 7OQCh. 14 - Prob. 8OQCh. 14 - Prob. 9OQCh. 14 - Prob. 10OQCh. 14 - Prob. 11OQCh. 14 - Prob. 12OQCh. 14 - Prob. 13OQCh. 14 - Prob. 14OQCh. 14 - Prob. 15OQCh. 14 - Prob. 16OQCh. 14 - Prob. 17OQCh. 14 - Prob. 18OQCh. 14 - Prob. 19OQCh. 14 - Prob. 20OQCh. 14 - Prob. 1.1CQCh. 14 - Prob. 1.2CQCh. 14 - Prob. 1.3CQCh. 14 - Prob. 1.4CQCh. 14 - Prob. 2.1CQCh. 14 - Prob. 2.2CQCh. 14 - Prob. 2.3CQCh. 14 - Prob. 3.1CQCh. 14 - Prob. 3.2CQCh. 14 - Prob. 3.3CQCh. 14 - Prob. 1PECh. 14 - Prob. 2PECh. 14 - Prob. 3PECh. 14 - Prob. 4PECh. 14 - Prob. 5PECh. 14 - Prob. 6PECh. 14 - Prob. 7PECh. 14 - Prob. 8PECh. 14 - Prob. 9PECh. 14 - Prob. 10PECh. 14 - Prob. 11PECh. 14 - Prob. 12PE
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