OPERATIONS MANAGEMENT IN THE SUPPLY CHAIN: DECISIONS & CASES (Mcgraw-hill Series Operations and Decision Sciences)
OPERATIONS MANAGEMENT IN THE SUPPLY CHAIN: DECISIONS & CASES (Mcgraw-hill Series Operations and Decision Sciences)
7th Edition
ISBN: 9780077835439
Author: Roger G Schroeder, M. Johnny Rungtusanatham, Susan Meyer Goldstein
Publisher: McGraw-Hill Education
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Chapter 10, Problem 3P

3-The ABC Floral Shop sold the following number of geraniums during the last two weeks:

Day Demand Day Demand
1 200 8 154
2 134 9 182
3 147 10 197
4 165 11 132
5 183 12 163
6 125 13 157
7 146 14 169

Develop a spreadsheet for the following.

  1. a. Calculate forecasts using a three- and five-period moving average.
  2. b. Graph these forecasts and the original data using Excel. What does the graph show?
  3. c. Which of the above forecasts is best? Why?
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4. What is the difference between trend and seasonality in time series data? 5. Here are the errors associated with a particular forecast over the past 5 months, in chronological order: 5, 10, -15, 0, 8. In which month was the forecast perfectly accurate? In which month was the forecast the least accurate? In which month or months was the forecast too high? (Noteshaper Ramp Up # 23) 6. Tutoring Center needs to allocate tutors this week for office appointments, so it needs to forecast the number of students who will seek appointments. The director has gathered the following time series data recently: Time Period Code Student Appointments Jan 6 - 10 95 Jan 13 - 17 80 Jan 20 - 24 65 Jan 27 – 31 4 50 a) What is the naïve forecast for the number of student appointments for Time Period 5 (Feb 3– 7)? b) What is the 2 week moving average for Time Period 5? c) What is the 3 week moving average for Time Period 5? d) What is the forecast for Time Period 5 using exponential smoothing with alpha =…
Monthly data for the sales of certain product at a local company during the las 9 periods are shown in below table. (Fill all the blanks. Allow 2 decimal values). a. Determine the forecasts for periods 5 through 9 using three-period moving averages, and the forecasts for periods 7 and 9 using six-month period moving averages.     b.Calculate the forecast errors for three-period moving averages and forecast errors for six-period moving averages.      c. Calculate the MAD for three-period moving averages and six-period moving averages.       d. If a smoothing constant of 0.4 was analyzed for the data, and you were informed that forecast for period 1 was 1,450; based on these assumptions, calculate the forecast for period 2.
4. The sales (in millions of dollars) for a 15-month period are as follows. Month Sales Month Sales 390 9 470 2 565 10 1000 3 395 11 490 450 12 485 490 13 525 560 14 550 7 420 15 530 8. 565 a. Compare a three-month moving average forecast with an exponential smoothing forecast. Use a = 0.2. Find MSE for both methods. b. Which provides the better forecasts based on MSE? C. Find the forecast for the next month using the best forecast method. 5.

Chapter 10 Solutions

OPERATIONS MANAGEMENT IN THE SUPPLY CHAIN: DECISIONS & CASES (Mcgraw-hill Series Operations and Decision Sciences)

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