# Question 2a (5 points): describe the details of the last value method

QNT 5160

Guidelines for Individual Case Assignment: Cutting Edge

Instructions

This is an individual assignment and therefore must be completed by the individual student without outside assistance.  In order to complete the assignment, first read the case write-up for the “Cutting Edge” case.  Then answer the questions listed below for each part of the case.

• Part 1 questions refer to the 2 years leading up to the opening of the new call center.
• Part 2 questions refer to the first 13 weeks of operation after opening the call center.
• Part 3 questions refer to the first 18 months of operating the call center.

A total of 100 percentage points is possible for this assignment.  This includes the point values which are assigned to each question (point values are noted next to each question below) plus 10 points which are earned based on following the prescribed assignment format, and the proper writing style and APA format.  The percentage points earned on this assignment will be multiplied by 25 to obtain the assignment grade (e.g., 85% on this paper * 25 = 21.25 points for the case study).

Part 1 Questions:

Question 1a (5 points): Define a problem statement which reflects the challenge facing Mark as he planned for the opening of the new center.

(Enter your answer here and in the following sections, but delete this statement first.)

Question 1b (5 points): Why was Mark’s initial forecast of call volume so far off?  What could have been the reasons for this?

Question 1c (5 points): What could Mark have done differently to improve his initial forecast?

Part 2 Questions:

In answering the Part 2 questions, you should download and refer to Student Data File No. 1 which contains the historical data that was used in preparing the forecast results that are reported in Part 2 of the case write-up document.

• Note: You do not have to prepare any forecasts in answering this question.
• Hint: it will be helpful for you to review a time-series plot of the 13 weeks of data contained on Student Data File No. 1.

Question 2a (5 points): Describe the details of the Last Value method used by Harry and explain its accuracy (MAD value) in comparison with the accuracy of the other methods.

Question 2b (5 points): Describe the details of the Averaging method used by Harry and explain its accuracy (MAD value) in comparison with the accuracy of the other methods.

Question 2c (5 points): Describe the details of the Moving Average (5 days) method used by Harry and explain its accuracy (MAD value) in comparison with the accuracy of the other methods.

Question 2d (5 points): Describe the details of the Exponential Smoothing (alpha = 0.1) method used by Harry and explain its accuracy (MAD value) in comparison with the accuracy of the other methods.

Question 2e (5 points): Describe the details of the Exponential Smoothing (alpha = 0.5) method used by Harry and explain its accuracy (MAD value) in comparison with the accuracy of the other methods.

Part 3 Questions:

In answering the Part 3 questions, you should download and refer to Student Data File No. 2 which contains the historical data that you will need to answer the questions.

Question 3a (10 points):

Prepare a forecast of call volume for July 2015 by applying Exponential Smoothing (with alpha = 0.5) to the prior 18 months of data.  Use the appropriate Excel template from the Hillier text to prepare your forecast and assume that initial call volume is 24,000.  Show your forecast below and attach the completed Excel template.

Call Volume Forecast for July 2015 (using the Exponential Smoothing method with an .5): _________________

Question 3b (10 points):

Apply Linear Regression to predict call volume from head count using the appropriate Excel template.  Show your forecast below and attach the completed Excel template.

Call Volume Forecast for July 2015 (Causal Forecasting based on head count): _________________

Question 3c (10 points):

Calculate the Mean absolute deviation value of the Exponential Smoothing model (Question 3a) and the Average Estimation Error of the Linear Regression model (Question 3b).  Explain the difference between these two values.

Mean absolute deviation of Exponential Smoothing model, with .5 is: ______________________

Average Estimation Error for Causal Forecasting model based on headcount is: __________________

What is your explanation of the difference in these two values:

Question 3d (20 points):

Considering your answers to Questions 3a, 3b and 3c (above) and all the factors that have been described above, prepare your best forecast for July 2015.  Show your forecast value below and explain and justify how you came up with this forecast.

Call Volume Forecast for July 2015 based on my forecast is: _________________

Explanation and Justification of Your selected forecasting method is (Explain this in detail, why you selected the forecasting method that you did for this case study, and why did you select this method over the other possible methods?):

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