Exam 8: Demand Management and Forecasting
Exam 1: Introduction to Supply Chain and Operations Management67 Questions
Exam 2: Supply Chain and Operations Strategy80 Questions
Exam 3: Product and Process Design and Mapping89 Questions
Exam 4: Service Design96 Questions
Exam 5: Customer Relationship Management52 Questions
Exam 6: Strategic Sourcing78 Questions
Exam 7: Supplier Management59 Questions
Exam 8: Demand Management and Forecasting75 Questions
Exam 9: Inventory Management Fundamentals and Independent Demand84 Questions
Exam 10: Sales and Operations Planning and Enterprise Resource Planning110 Questions
Exam 11: Logistics94 Questions
Exam 12: Project Management90 Questions
Exam 13: Supply Chain Quality Management84 Questions
Exam 14: Statistical Process Control74 Questions
Exam 15: Lean and Six Sigma Management and Leading Change76 Questions
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The bullwhip effect indicates that the variation in demand will be higher with the retailer as compared to the manufacturer in a supply chain.
(True/False)
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Forecasts based on judgment and opinion do not include which of the following?
(Multiple Choice)
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What is the demand pattern that can be used to describe the drop in demand for consumer products that coincides with economic recession periods?
(Multiple Choice)
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To reduce inventory variability in the supply chain and to better match demand with supply at various stages in the supply chain,which of the following two practices are effective?
A)Communication
B)Longer lead-times
C)Collaboration
D)Quantity discounts
(Short Answer)
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In the context of demand management,the loss and replacement of customers is known as ________.
(Short Answer)
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If a pattern appears like cycles or seasonality when a dependent variable is plotted against time,one should use time series analysis instead of regression analysis.
(True/False)
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Forecasting techniques such as moving averages and exponential smoothing represent smoothed (averaged)values of the historical time series data.
(True/False)
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What is the Mean Absolute Percent Deviation (MAPD)if the sum of the absolute forecast error over 12 periods is 174 and the cumulative demand over the same 12 periods is 1500?
(Multiple Choice)
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The double exponential smoothing technique requires the use of two smoothing constants.
(True/False)
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What is the demand pattern that can be used to describe the demand for NFL merchandise around the Super Bowl every year?
(Multiple Choice)
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A forecast method is generally said to be accurate when the errors exhibit an identifiable pattern.
(True/False)
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NextGenTabs has introduced their latest model of tablet computers and these have been very well received and popular in the market.NextGenTabs has seen the demand for their tablet computers showing a steady increase month over month for the last six months.In using an exponential smoothing forecasting technique to forecast demand for future periods,NextGenTabs should use a smoothing constant (α)that is
(Multiple Choice)
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Use the information below to answer the following question(s).
The following table provides demand and forecast information for a specialty store's products which are particularly popular around Halloween.
Period/ Quarter Demand Regression (De- seasonalized) Forecast Winter 13 80 90 Spring 240 198.6 Summer 300 307.1 Fall 440 415.7 Winter 14 400 524.3 Spring 720 632.9 Summer 700 741.4 Fall 880 850
-What is the seasonal index for the Spring season/ quarter?
(Multiple Choice)
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Seasonal indices can be used to de-seasonalize demand or incorporate seasonality into a forecast.
(True/False)
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A measure of forecasting error that tracks the average percent of error is known as ________.
(Short Answer)
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The exponential smoothing forecasting technique is a form of weighted moving average.
(True/False)
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A forecast is an assertion about the future whose outcome is known.
(True/False)
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Bias exists when the forecast tends to be greater or less than the actual demand.
(True/False)
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At the end of June (and using the historical data up to and including the month of June),a manager develops the following equation to predict monthly sales: Y = 25,000 + 125x.What is the forecast for the month of September using this linear trend line equation?
(Multiple Choice)
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