Production and Operations Analysis, Seventh Edition
7th Edition
ISBN: 9781478623069
Author: Steven Nahmias, Tava Lennon Olsen
Publisher: Waveland Press, Inc.
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Chapter 2.6, Problem 11P
a.
Summary Introduction
To determine: The one step ahead forecast for period 9.
Introduction:
b.
Summary Introduction
To determine:The one step ahead forecast that was made for period 6.
Introduction: Forecasting is the main function of predicting the future using the information available for decision making. It is a mechanism for planning decisions based on the predicted information.
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Students have asked these similar questions
The monthly sales for Yazici Batteries, Inc., were as follows:
Month
Jan
Feb
Mar
Apr May
Jun
Jul
Aug Sept
Oct
Nov
Dec
Sales
20
21
16
14
11
16
17
19
22
20
20
24
This exercise contains only parts b and c.
b) The forecast for the next month (Jan) using the naive method =
sales (round your response to a whole number).
The forecast for the next period (Jan) using a 3-month moving average approach =
sales (round your response to two decimal places).
The forecast for the next period (Jan) using a 6-month weighted average with weights of 0.10, 0.10, 0.10, 0.20, 0.20, and 0.30, where the heaviest
weights are applied to the most recent month = sales (round your response to one decimal place).
sales (round your response
Using exponential smoothing with a = 0.30 and a September forecast of 18.00, the forecast for the next period (Jan) =
to two decimal places).
Using a method of trend projection, the forecast for the
month (Jan) = sales (round your response to two decimal places).
c) The method…
1. Figure 8.90 shows summer air visibility measurements for Denver, Colorado. The
acceptable visibility standard is 100, with readings above 100 indicating clean air and good
visibility, and readings below 100 indicating temperature inversions caused by forest fires,
volcanic eruptions, or collisions with comets.
Figure 8.9 Summer Air Visibility Measurements
Visibility rating
250
225
200
175
150
125
100
75
50-
25
0
Year 2
Year 1
22 25 28 31 3
July
6
9 12 15 18 21 24 27 30
Date
August
The monthly sales for Yazici Batteries, Inc., were as follows:
Month
Jan
Feb
Mar
Apr
May Jun
Jul
Aug Sept
Oct
Nov
Dec
Sales
19
21
17
15
15
18
16
19
22
20
20
24
This exercise contains only parts b and c.
b) The forecast for the next month (Jan) using the naive method = 24 sales (round your response to a whole number).
The forecast for the next period (Jan) using a 3-month moving average approach = 21.33 sales (round your response to two decimal places).
The forecast for the next period (Jan) using a 6-month weighted average with weights of 0.10, 0.10, 0.10, 0.20, 0.20, and 0.30, where the heaviest weights are
applied to the most recent month = 20.9 sales (round your response to one decimal place).
Using exponential smoothing with a = 0.40 and a September forecast of 18.00, the forecast for the next period (Jan) = sales (round your response to two decimal
places).
Chapter 2 Solutions
Production and Operations Analysis, Seventh Edition
Ch. 2.4 - Prob. 1PCh. 2.4 - Prob. 2PCh. 2.4 - Prob. 3PCh. 2.4 - Prob. 4PCh. 2.4 - Prob. 5PCh. 2.4 - Prob. 6PCh. 2.4 - Prob. 7PCh. 2.4 - Prob. 8PCh. 2.4 - Prob. 9PCh. 2.6 - Prob. 10P
Ch. 2.6 - Prob. 11PCh. 2.6 - Prob. 12PCh. 2.6 - Prob. 13PCh. 2.6 - Prob. 14PCh. 2.6 - Prob. 15PCh. 2.7 - Prob. 16PCh. 2.7 - Prob. 17PCh. 2.7 - Prob. 18PCh. 2.7 - Prob. 19PCh. 2.7 - Prob. 20PCh. 2.7 - Prob. 21PCh. 2.7 - Prob. 22PCh. 2.7 - Prob. 23PCh. 2.7 - Prob. 24PCh. 2.7 - Prob. 25PCh. 2.7 - Prob. 26PCh. 2.7 - Prob. 27PCh. 2.8 - Prob. 28PCh. 2.8 - Prob. 29PCh. 2.8 - Prob. 30PCh. 2.8 - Prob. 31PCh. 2.8 - Prob. 32PCh. 2.9 - Prob. 33PCh. 2.9 - Prob. 34PCh. 2.9 - Prob. 35PCh. 2.9 - Prob. 36PCh. 2.9 - Prob. 37PCh. 2.10 - Prob. 38PCh. 2.10 - Prob. 42PCh. 2.10 - Prob. 43PCh. 2.10 - Prob. 44PCh. 2.10 - Prob. 45PCh. 2 - Prob. 47APCh. 2 - Prob. 48APCh. 2 - Prob. 49APCh. 2 - Prob. 50APCh. 2 - Prob. 51APCh. 2 - Prob. 52APCh. 2 - Prob. 53APCh. 2 - Prob. 54APCh. 2 - Prob. 55APCh. 2 - Prob. 56APCh. 2 - Prob. 57APCh. 2 - Prob. 58AP
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