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The result of each stage in the supply chain making its own separate forecast is


A) an accurate forecast.
B) a more accurate forecast.
C) a match between supply and demand.
D) a mismatch between supply and demand.
E) none of the above

F) B) and D)
G) B) and C)

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Time series forecasting methods are most appropriate when


A) there is little historical data available.
B) the basic demand pattern varies significantly from one year to the next.
C) the basic demand pattern does not vary significantly from one year to the next.
D) experts have critical market intelligence.
E) forecasting demand several years into the future.

F) A) and B)
G) A) and C)

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The ________ is a good measure of forecast error when the underlying forecast has significant seasonality and demand varies considerably from one period to the next.


A) MAD
B) MSE
C) MKE
D) MAPE

E) All of the above
F) None of the above

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In general,the further up the supply chain a company is (or the further they are from the consumer) ,


A) the greater the distortion of information they receive.
B) the smaller the distortion of information they receive.
C) the information they receive is more accurate.
D) the information they receive is more useful.
E) none of the above

F) A) and B)
G) A) and C)

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Explain the four types of forecasting methods.

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Forecasting methods are classified accor...

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The objective of forecasting is to filter out the random component (noise)and estimate the systematic component.

A) True
B) False

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Aggregate forecasts are usually more accurate than disaggregate forecasts because


A) aggregate forecasts tend to have a larger standard deviation of error relative to the mean.
B) aggregate forecasts tend to have a smaller standard deviation of error relative to the mean.
C) disaggregate forecasts tend to have a smaller standard deviation of error relative to the mean.
D) disaggregate forecasts tend to have less standard deviation of error relative to the mean.
E) none of the above

F) A) and C)
G) C) and E)

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Which of the following is not a forecasting method?


A) Qualitative
B) Time series
C) Causal
D) Simulation
E) All of the above are forecasting methods.

F) B) and D)
G) C) and D)

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Explain the role of forecasting in a supply chain.

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The forecast of demand forms the basis f...

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Forecasting and the accompanying managerial decisions are extremely difficult when either the supply of raw materials or the demand for the finished product is highly unpredictable.

A) True
B) False

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Long-term forecasts are usually more accurate than short-term forecasts.

A) True
B) False

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The measure of forecast error where the amount of error of each forecast is squared and then an average is calculated is


A) mean squared error (MSE) .
B) mean absolute deviation (MAD) .
C) mean absolute percentage error (MAPE) .
D) bias.
E) the tracking signal.

F) A) and B)
G) A) and C)

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Leaders in many supply chains have started moving toward collaborative forecasting to improve their ability to match supply and demand.

A) True
B) False

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True

Forecasting methods that assume that the demand forecast is highly correlated with certain factors in the environment (e.g.,the state of the economy,interest rates,etc.) to make a forecast are known as


A) qualitative forecasting methods.
B) time series forecasting methods.
C) causal forecasting methods.
D) simulation forecasting methods.
E) none of the above

F) C) and D)
G) A) and D)

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Marketing can utilize forecasts to make decisions concerning


A) scheduling.
B) promotions.
C) inventory control.
D) aggregate planning.
E) purchasing.

F) A) and E)
G) B) and E)

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Explain the basic,six-step approach to help an organization perform effective forecasting.

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The following basic,six-step approach helps an organization perform effective forecasting: 1.Understand the objective of forecasting.The objective of every forecast is to support decisions that are based on the forecast,so an important first step is to clearly identify these decisions.Examples of such decisions include how much of a particular product to make,how much to inventory,and how much to order.All parties affected by a supply chain decision should be aware of the link between the decision and the forecast.Failure to make these decisions jointly may result in either too much or too little product in various stages of the supply chain. 2.Integrate demand planning and forecasting throughout the supply chain.A company should link its forecast to all planning activities throughout the supply chain.These include capacity planning,production planning,promotion planning,and purchasing,among others.This link should exist at both the information system and the human resource management level.As a variety of functions are affected by the outcomes of the planning process,it is important that all of them are integrated into the forecasting process.To accomplish this integration,it is a good idea for a firm to have a cross-functional team,with members from each affected function responsible for forecasting demand-and an even better idea to have members of different companies in the supply chain working together to create a forecast. 3.Understand and identify customer segments.Here a firm must identify the customer segments the supply chain serves.Customers may be grouped by similarities in service requirements,demand volumes,order frequency,demand volatility,seasonality,and so forth.In general,companies may use different forecasting methods for different segments.A clear understanding of the customer segments facilitates an accurate and simplified approach to forecasting. 4.Identify the major factors that influence the demand forecast.A proper analysis of these factors is central to developing an appropriate forecasting technique.The main factors influencing forecasts are demand,supply,and product-related phenomena.On the demand side,a company must ascertain whether demand is growing,declining,or has a seasonal pattern.These estimates must be based on demand-not sales data.On the supply side,a company must consider the available supply sources to decide on the accuracy of the forecast desired.If alternate supply sources with short lead times are available,a highly accurate forecast may not be especially important.However,if only a single supplier with a long lead time is available,an accurate forecast will have great value.On the product side,a firm must know the number of variants of a product being sold and whether these variants substitute for or complement each other.If demand for a product influences or is influenced by demand for another product,the two forecasts are best made jointly. 5.Determine the appropriate forecasting technique.In selecting an appropriate forecasting technique,a company should first understand the dimensions that will be relevant to the forecast.These dimensions include geographical area,product groups,and customer groups.The company should understand the differences in demand along each dimension.A firm would be wise to have different forecasts and techniques for each dimension.At this stage,a firm selects an appropriate forecasting method from the four methods discussed earlier-qualitative,time series,causal,or simulation.Using a combination of these methods is often effective. 6.Establish performance and error measures for the forecast.Companies should establish clear performance measures to evaluate the accuracy and timeliness of the forecast.These measures should correlate with the objectives of the business decisions based on these forecasts. Each organization must use all six steps to forecast effectively.

The result when each stage in the supply chain makes its own separate forecast is often a match between supply and demand,because these forecasts are often very different.

A) True
B) False

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When either the supply of raw materials or the demand for the finished product is highly variable,forecasting and the accompanying managerial decisions


A) are extremely simple.
B) are relatively straightforward.
C) are extremely difficult.
D) should not be attempted.
E) none of the above

F) D) and E)
G) A) and E)

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Forecasting methods that imitate the consumer choices that give rise to demand to arrive at a forecast are known as


A) qualitative forecasting methods.
B) time series forecasting methods.
C) causal forecasting methods.
D) simulation forecasting methods.
E) none of the above

F) A) and B)
G) A) and C)

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The measure of forecast error where the absolute amount of error of each forecast is averaged is


A) mean squared error (MSE) .
B) mean absolute deviation (MAD) .
C) mean absolute percentage error (MAPE) .
D) bias.
E) the tracking signal.

F) D) and E)
G) B) and C)

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B

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