Production and Operations Analysis, Seventh Edition
Production and Operations Analysis, Seventh Edition
7th Edition
ISBN: 9781478623069
Author: Steven Nahmias, Tava Lennon Olsen
Publisher: Waveland Press, Inc.
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Chapter 2.6, Problem 11P

a.

Summary Introduction

To determine: The one step ahead forecast for period 9.

Introduction: Forecasting is the main function of predicting the future using the information available for decision making. It is a mechanism for planning decisions based on the predicted information.

b.

Summary Introduction

To determine:The one step ahead forecast that was made for period 6.

Introduction: Forecasting is the main function of predicting the future using the information available for decision making. It is a mechanism for planning decisions based on the predicted information.

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A forecasting method used to predict can opener sales applies the following set of weights to the last five periods of data: .1, .1, .2, .2, .4 (with .4 being applied to the most recent observation). Observed values of can opener sales arePeriod:                1     2     3      4     5     6      7      8Observation:     18   22   26    33   14   28    30    52Determine the following:a. The one-step-ahead forecast for period 9.b. The one-step-ahead forecast that was made for period 6.
Explain the difference between qualitative and quantitative approaches to forecasting. Describe three (3) qualitative methods used in forecasting. Given the following data of demand for shopping carts at a leading supermarket. Prepare a forecast for period 6 using each of the following approaches:   Period 1 2 3 4 5 Demand 60 65 55 58 64   A three-period moving average. A weighted average using weights of .50 (most recent), .20 and .30. Exponential smoothing with a smoothing constant of .40.   The manager of a large cement production factory in Road Town, Tortola has to choose between two alternative forecasting techniques. His production staff used both techniques in order to prepare forecasts for a six-month period (See table below). Using MAD as a criterion, which technique has the better performance record?           FORECAST MONTH DEMAND TECHNIQUE 1 TECHNIQUE 2 1 492 488 495 2 470 484 482 3 485…
7, The accompanying dataset provides data on the monthly usage of natural gas​ (in millions of cubic​ feet) for a certain region over two years. Implement the​ Holt-Winters multiplicative seasonality model with no trend to find the forecast for periods​ 13-26, where α=0.6and γ=0.9. Then find the MAD for periods​ 13-24. Use the​ Holt-Winters multiplicative seasonality model with no trend to find the forecast for periods​ 13-18, periods​ 19-24, and then for periods 25 and 26. ​(Type integers or decimals rounded to two decimal places as​ needed.) Period Forecast 13 enter your response here 14 enter your response here 15 enter your response here 16 enter your response here 17 enter your response here 18 enter your response here Month Period Gas Usage   Jan 1 250   Feb 2 234   Mar 3 149   Apr 4 140   May 5 54   Jun 6 33   Jul 7 31   Aug 8 28   Sep 9…
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