Introduction to Management Science (12th Edition)
Introduction to Management Science (12th Edition)
12th Edition
ISBN: 9780133778847
Author: Bernard W. Taylor III
Publisher: PEARSON
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Chapter 15, Problem 1P

a)

Summary Introduction

To determine: A 3-month moving average forecast for April through January.

a)

Expert Solution
Check Mark

Explanation of Solution

Given information:

Introduction to Management Science (12th Edition), Chapter 15, Problem 1P , additional homework tip  1

Determine a 3-month moving average forecast for April through January:

Introduction to Management Science (12th Edition), Chapter 15, Problem 1P , additional homework tip  2

Formulae to determine the value in the above table:

Introduction to Management Science (12th Edition), Chapter 15, Problem 1P , additional homework tip  3

b)

Summary Introduction

To determine: A 5-month moving average forecast for June through January.

b)

Expert Solution
Check Mark

Explanation of Solution

Given information:

Introduction to Management Science (12th Edition), Chapter 15, Problem 1P , additional homework tip  4

Determine a 5-month moving average forecast for June through January:

Introduction to Management Science (12th Edition), Chapter 15, Problem 1P , additional homework tip  5

Formulae to determine the value in the above table:

Introduction to Management Science (12th Edition), Chapter 15, Problem 1P , additional homework tip  6

c)

Summary Introduction

To determine: The two forecasts using MAD.

c)

Expert Solution
Check Mark

Explanation of Solution

Given information:

Introduction to Management Science (12th Edition), Chapter 15, Problem 1P , additional homework tip  7

Compare two forecasts using MAD:

Introduction to Management Science (12th Edition), Chapter 15, Problem 1P , additional homework tip  8

Formulae to determine the value in the above table:

Introduction to Management Science (12th Edition), Chapter 15, Problem 1P , additional homework tip  9

According to the findings, the dealer should use 3-month forecasts, which has smaller MAD that indicates accurate forecast.

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