Practical Operations Management
Practical Operations Management
2nd Edition
ISBN: 9781939297136
Author: Simpson
Publisher: HERCHER PUBLISHING,INCORPORATED
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Chapter 4, Problem 29P

A

Summary Introduction

Interpretation:Determine the forecast error for the month of April.

Concept Introduction:Forecast error indicates the percent of error in the forecasted value based on the actual outcome.

B

Summary Introduction

Interpretation:Determine the error percent for the month of July.

Concept Introduction: Forecast error indicates the percent of error in the forecasted value based on the actual outcome.

C

Summary Introduction

Interpretation: Determine the Mean Error, mean squared error, mean absolute percent error, mean absolute deviation and tracking signal in this 5-month forecasting period.

Concept Introduction: Using regression, we will be able to define relationship between any two variables, denoting the cause and effect. The method can also be used to forecast the future depending on the past performances.

D

Summary Introduction

Interpretation: Determine the forecast in June as per the 3 month moving average.

Concept Introduction: Forecast error indicates the percent of error in the forecasted value based on the actual outcome.

E

Summary Introduction

Interpretation: Find out the forecast based on the simple exponential smoothing for the month of August.

Concept Introduction: Forecast error indicates the percent of error in the forecasted value based on the actual outcome.

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The demand (in number of units) for Apple iPad over the past 6 months at BestBuy is summarized below. Month Nov 2019 Dec 2019 Demand 45 48 Jan 2020 50 Feb 2020 Mar 2020 Apr 2020 42 46 51 Consider the following three forecasting methods: • Two-month weighted moving average, with weights 6 and 2 (more weight assigned to more recent data) Exponential smoothing with a = 0.7. Let the initial forecast for Nov 2019 be 46. • A trend line projection in the form ŷ = a+bx . To simplify computations, transform the value of x (time) to simpler numbers – designate Nov 2019 as x=1, Dec 2019 as x= 2, etc. (a ) For each of the above methods, forecast the demand of Apple iPad for May 2020. (b) Consider only the two-month weighted moving average method, compute the MAD measure and the MSE measure using the data from Jan 2020. (c) Use the trend line to forecast the demand of Apple iPad for Dec 2020. Give your opinion regarding the reliability of the forecast.
Professor Very Busy needs to allocate time next week to include time for office hours. He needs to forecast the number of students who will seek appointments. He has gathered the following data: Week 6 weeks ago 5 weeks ago 4 weeks ago 3 weeks ago 2 weeks ago Last week # Students 83 110 95 80 65 50 What is this week's forecast using trend-adjusted (double) smoothing with alpha = .5 and beta = .1, if the forecast for last week was 65, the forecast for two weeks ago was 75, and the trend estimate for last week's forecast was -5? 49.3 78.7 51.3 50.6 65.4
The following are monthly actual and forecast demand levels for May through December for units of a product manufactured by the D. Bishop Company in Des​ Moines:                                                         Month Actual Demand Forecast Demand May 100   102   June 80   100   July 110   97   August 115   104   September 105   104   October 110   102   November 125   108   December 125   111   Part 2 For the given​ forecast, the tracking signal​ = enter your response here MADs ​(round your response to two decimal​ places).
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