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 4P

The Handy Dandy Department Store had forecast sales of $110,000 for the previous week. The actual sales were $130,000.

  1. a. What is the forecast for this week, using exponential smoothing and α = .1?
  2. b. If sales this week turn out to be $120,000, what is the forecast for next week?
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The Handy-Dandy Department Store had forecast sales of $110,000 for the previous week. The actual sales were $130,000.a. What is the forecast for this week, using exponential smoothing and α = .1?b. If sales this week turn out to be $120,000, what is the forecast for next week?
Gargash Car Service have repaired the following number of cars from January to May. Month Number of cars sold January 120 February 123 March 145 April 141 May 138 A. Calculate the three-period moving average forecast for the month of June. Show your work.8. Given the historical data and weights of 0.42, 0.33, and 0.25, calculate three-period weighted moving average forecast for June? Show your work.C. Calculate the naive forecast for June. Show your work.D. Would you prefer any of these forecasts above the other? Justify your answer.E. Suppose that the June's actual sales is 5 percent lower than May's sales. What will the error of your(preferred) forecast?
A concert promoter is forecasting this year's attendance for one of his concerts based on the following historical data: Year Attendance 4 years ago 10,000 3 years ago 12,000 2 years ago 18,000 Last year 20,000 What is this year's forecast using exponential smoothing with alpha = .2, if last year's smoothed forecast was 15,000? %3D A. 20,000 B. 19,000o C.17,500 D.16,000 E.15,000

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

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