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供应链管理 第三版 Unit7 习题与答案

供应链管理 第三版 Unit7 习题与答案
供应链管理 第三版 Unit7 习题与答案

Chapter 7

Demand Forecasting in a Supply Chain

True/False

1. The forecast of demand forms the basis for all strategic and planning decisions in

a supply chain.

Answer: True

Difficulty: Moderate

2. Throughout the supply chain, all pull processes are performed in anticipation of

customer demand, whereas all push processes are performed in response to

customer demand.

Answer: False

Difficulty: Easy

3. For pull processes, a manager must forecast what customer demand will be in

order to plan the level of available capacity and inventory.

Answer: True

Difficulty: Moderate

4. For push processes, a manager must forecast what customer demand will be in

order to plan the level of available capacity and inventory.

Answer: False

Difficulty: Hard

The resulting forecast accuracy enables supply chains to be both more

responsive and more efficient in serving their customers.

5. 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.

Answer: False

Difficulty: Moderate

6. When all stages of a supply chain produce a collaborative forecast, it tends to be

much more accurate.

Answer: True

Difficulty: Easy

7. Leaders in many supply chains have started moving toward collaborative

forecasting to improve their ability to match supply and demand.

Answer: True

Difficulty: Moderate

8. Mature products with stable demand are usually the most difficult to forecast.

Answer: False

Difficulty: Moderate

9. 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 variable.

Answer: True

Difficulty: Easy

10. Forecasts are always right.

Answer: False

Difficulty: Easy

11. Forecasts should include both the expected value of the forecast and a measure

of forecast error.

Answer: True

Difficulty: Moderate

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

Answer: False

Difficulty: Moderate

13. Aggregate forecasts are usually more accurate than disaggregate forecasts, as

they tend to have a smaller standard deviation of error relative to the mean.

Answer: True

Difficulty: Moderate

14. In general, the further up the supply chain a company is (or the further they are

from the consumer), the smaller the distortion of information they receive.

Answer: False

Difficulty: Easy

15. Collaborative forecasting based on sales to the end customer can help

enterprises further up the supply chain reduce forecast error.

Answer: True

Difficulty: Moderate

16. Qualitative forecasting methods are most appropriate when there is good

historical data available or when experts do not have market intelligence that is

critical in making the forecast.

Answer: False

Difficulty: Moderate

17. Time series forecasting methods are based on the assumption that past demand

history is a good indicator of future demand.

Answer: True

Difficulty: Easy

18. Time series forecasting methods are the most difficult methods to implement.

Answer: False

Difficulty: Moderate

19. Causal forecasting methods find a correlation between demand and

environmental factors and use estimates of what environmental factors will be to forecast future demand.

Answer: True

Difficulty: Moderate

20. Simulation forecasting methods imitate the consumer choices that give rise to

demand to arrive at a forecast.

Answer: True

Difficulty: Moderate

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

estimate the systematic component.

Answer: True

Difficulty: Moderate

22. The forecast error measures the difference between the forecast and the

estimate.

Answer: False

Difficulty: Easy

23. The goal of any forecasting method is to predict the systematic component of

demand and estimate the random component.

Answer: True

Difficulty: Moderate

24. A static method of forecasting assumes that the estimates of level, trend, and

seasonality within the systematic component vary as new demand is observed.

Answer: False

Difficulty: Easy

25. In adaptive forecasting, the estimates of level, trend, and seasonality are updated

after each demand observation.

Answer: True

Difficulty: Moderate

26. The moving average forecast method is used when demand has an observable

trend or seasonality.

Answer: False

Difficulty: Moderate

Multiple Choice

1. The basis for all strategic and planning decisions in a supply chain comes from

a. the forecast of demand.

b. sales targets.

c. profitability projections.

d. production efficiency goals.

e. all of the above

Answer: a

Difficulty: Easy

2. For push processes, a manager must forecast what customer demand will be in

order to

a. plan the service level.

b. plan the level of available capacity and inventory.

c. plan the level of productivity.

d. plan the level of production.

e. none of the above

Answer: d

Difficulty: Moderate

3. For pull processes, a manager must forecast what customer demand will be in

order to

a. plan the service level.

b. plan the level of available capacity and inventory.

c. plan the level of productivity.

d. plan the level of production.

e. none of the above

Answer: b

Difficulty: Moderate

4. 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 deman

d.

d. a mismatch between supply and demand.

e. none of the above

Answer: d

Difficulty: Moderate

5. When all stages of a supply chain produce a collaborative forecast, it tends to be

a. much more detailed.

b. much more complex.

c. much more accurate.

d. much more flexibl

e.

e. all of the above

Answer: c

Difficulty: Moderate

6. The resulting accuracy of a collaborative forecast enables supply chains to be

a. more responsive but less efficient in serving their customers.

b. both more responsive and more efficient in serving their customers.

c. less responsive but less efficient in serving their customers.

d. both less responsive and less efficient in serving their customers.

e. None of the above are true.

Answer: b

Difficulty: Moderate

7. Leaders in many supply chains have started moving

a. toward independent forecasting to improve their ability to match supply

and demand.

b. toward consecutive forecasting to improve their ability to match supply

and demand.

c. toward sequential forecasting to improve their ability to match supply and

demand.

d. toward collaborative forecasting to improve their ability to match supply

and demand.

e. None of the above are true.

Answer: d

Difficulty: Moderate

8. Production can utilize forecasts to make decisions concerning

a. scheduling.

b. sales-force allocation.

c. promotions.

d. new product introduction.

e. budgetary planning.

Answer: a

Difficulty: Moderate

9. Marketing can utilize forecasts to make decisions concerning

a. scheduling.

b. promotions.

c. inventory control.

d. aggregate planning.

e. purchasing.

Answer: b

Difficulty: easy

10. Finance can utilize forecasts to make decisions concerning

a. scheduling.

b. promotions.

c. plant/equipment investment.

d. aggregate planning.

e. purchasing.

Answer: a

Difficulty: Moderate

11. Personnel can utilize forecasts to make decisions concerning

a. scheduling.

b. promotions.

c. plant/equipment investment.

d. workforce planning.

e. purchasing.

Answer: b

Difficulty: Moderate

12. Mature products with stable demand

a. are usually easiest to forecast.

b. are usually hardest to forecast.

c. cannot be forecast.

d. do not need to be forecast.

e. none of the above

Answer: a

Difficulty: Easy

13. 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

Answer: c

Difficulty: Easy

14. One of the characteristics of forecasts is

a. forecasts are always right.

b. forecasts are always wrong.

c. short-term forecasts are usually less accurate than long-term forecasts.

d. long-term forecasts are usually more accurate than short-term forecasts.

e. none of the above

Answer: b

Difficulty: Moderate

15. One of the characteristics of forecasts is

a. aggregate forecasts are usually less accurate than disaggregate forecasts.

b. disaggregate forecasts are usually more accurate than aggregate forecasts.

c. short-term forecasts are usually less accurate than long-term forecasts.

d. long-term forecasts are usually less accurate than short-term forecasts.

e. none of the above

Answer: d

Difficulty: Moderate

16. One of the characteristics of forecasts is

a. aggregate forecasts are usually more accurate than disaggregate forecasts.

b. disaggregate forecasts are usually more accurate than aggregate forecasts.

c. short-term forecasts are usually less accurate than long-term forecasts.

d. long-term forecasts are usually more accurate than short-term forecasts.

e. none of the above

Answer: a

Difficulty: Moderate

17. Forecasts are always wrong and therefore

a. should include both the expected value of the forecast and a measure of

forecast error.

b. should not include both the expected value of the forecast and a measure

of forecast error.

c. should only be used when there are no accurate estimates.

d. should be missing the expected value of the forecast and a measure of

forecast error.

e. none of the above

Answer: a

Difficulty: Easy

18. Long-term forecasts are usually less accurate than short-term forecasts because

a. short-term forecasts have a larger standard deviation of error relative to

the mean than long-term forecasts.

b. short-term forecasts have more standard deviation of error relative to the

mean than long-term forecasts.

c. long-term forecasts have a smaller standard deviation of error relative to

the mean than short-term forecasts.

d. long-term forecasts have a larger standard deviation of error relative to

the mean than short-term forecasts.

e. none of the above

Answer: d

Difficulty: Moderate

19. 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

Answer: b

Difficulty: Easy

20. 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

Answer: a

Difficulty: Moderate

21. 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.

Answer: e

Difficulty: Moderate

22. Forecasting methods that are primarily subjective and rely on human judgment

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

Answer: a

Difficulty: Moderate

23. Forecasting methods that use historical demand 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.

Answer: b

Difficulty: Moderate

24. 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

Answer: c

Difficulty: Moderate

25. 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

Answer: d

Difficulty: Moderate

26. Qualitative forecasting methods are most appropriate when

a. there is good historical data available.

b. there is little historical data available.

c. experts do not have critical market intelligence.

d. forecasting demand into the near futur

e.

e. trying to achieve a high level of detail.

Answer: b

Difficulty: Moderate

27. 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 intelligenc

e.

e. forecasting demand several years into the future.

Answer: c

Difficulty: Hard

28. Which forecasting methods are the simplest to implement and can serve as a

good starting point for a demand forecast?

a. qualitative forecasting methods

b. time series forecasting methods

c. causal forecasting methods

d. simulation forecasting methods

e. none of the above

Answer: b

Difficulty: Moderate

29. Which of the following is correct?

a. Observed demand (O) = Level component (L) + Random component (R)

b. Observed demand (O) = Seasonal component (S) + Random component

(R)

c. Observed demand (O) = Systematic component (S) + Trend component

(T)

d. Observed demand (O) = Systematic component (S) + Random

component (R)

e. Observed demand (O) = Trend component (T) + Random component (R)

Answer: d

Difficulty: Easy

30. Which of the following is not a step to help an organization perform effective

forecasting?

a. Understand the objective of forecasting.

b. Integrate demand planning and forecasting throughout the supply chain.

c. Understand and identify customer segments.

d. Identify and understand supplier requirements.

e. Determine the appropriate forecasting technique.

Answer: d

Difficulty: Moderate

31. The goal of any forecasting method is to

a. predict the random component of demand and estimate the systematic

component.

b. predict the systematic component of demand and estimate the random

component.

c. predict the seasonal component of demand and estimate the random

component.

d. predict the random component of demand and estimate the seasonal

component.

e. predict the trend component of demand and estimate the random

component.

Answer: b

Difficulty: Moderate

32. The multiplicative form of the systematic component of demand is shown as

a. level × trend × seasonal factor.

b. level + trend + seasonal factor.

c. (level + trend) × seasonal factor.

d. level × (trend + seasonal factor).

e. (level × trend) + seasonal factor.

Answer: a

Difficulty: Easy

33. The additive form of the systematic component of demand is shown as

a. level × trend × seasonal factor.

b. level + trend + seasonal factor.

c. (level + trend) × seasonal factor.

d. level × (trend + seasonal factor).

e. (level × trend) + seasonal factor.

Answer: b

Difficulty: Easy

34. The mixed form of the systematic component of demand is shown as

a. level × trend × seasonal factor.

b. level + trend + seasonal factor.

c. (level + trend) × seasonal factor.

d. level × (trend + seasonal factor).

e. (level × trend) + seasonal factor.

Answer: c

Difficulty: Hard

35. Which of the following is not a necessary step to estimate the three parameters—

level, trend, and seasonal factors of the systematic component of demand?

a. Deseasonalize demand and run linear regression to estimate level and

trend.

b. Estimate seasonal factors.

c. Remove the trend factor of demand and run linear regression to estimate

seasonal factors.

d. All of the above are steps.

e. None of the above are steps.

Answer: c

Difficulty: Moderate

36. A static method of forecasting

a. assumes that the estimates of level, trend, and seasonality within the

systematic component do not vary as new demand is observed.

b. assumes that the estimates of level, trend, and seasonality within the

systematic component vary as new demand is observed.

c. the estimates of level, trend, and seasonality are updated after each

demand observation.

d. All of the above are tru

e.

e. None of the above are true.

Answer: a

Difficulty: Easy

37. In adaptive forecasting

a. there is an assumption that the estimates of level, trend, and seasonality

within the systematic component do not vary as new demand is observed.

b. the estimates of level, trend, and seasonality within the systematic

component are not adjusted as new demand is observed.

c. the estimates of level, trend, and seasonality are updated after each demand

observation.

d. All of the above are tru

e.

e. None of the above are true.

Answer: c

Difficulty: Easy

38. The moving average forecast method is used when

a. demand has observable trend or seasonality.

b. demand has no observable trend or seasonality.

c. demand has observable trend and seasonality.

d. demand has no observable level or seasonality.

e. none of the above

Answer: b

Difficulty: Moderate

39. The simple exponential smoothing forecast method is appropriate when

a. demand has observable trend or seasonality.

b. demand has no observable trend or seasonality.

c. demand has observable trend and seasonality.

d. demand has no observable level or seasonality.

e. none of the above

Answer: b

Difficulty: Moderate

40. The trend corrected exponential smoothing (Holt’s Model) forecast method is

appropriate when

a. demand has observable trend or seasonality.

b. demand has no observable trend or seasonality.

c. demand has observable trend but no seasonality.

d. demand has no observable level or seasonality.

e. none of the above

Answer: c

Difficulty: Moderate

41. The tr end and seasonality corrected exponential smoothing (Winter’s Model)

forecast method is appropriate when

a. demand has observable trend, level, and seasonality.

b. demand has no observable trend or seasonality.

c. demand has observable trend but no seasonality.

d. demand has no observable level or seasonality.

e. none of the above

Answer: a

Difficulty: Moderate

42. Managers perform a thorough error analysis on a forecast for which of the

following key reasons?

a. To establish a closely linked systematic forecasting method to accurately

predict the level season component of demand.

b. To determine whether the current forecasting method is accurately

predicting the systematic component of demand.

c. In order to develop contingency plans that account for forecast error.

d. all of the above

e. b and c only

Answer: e

Difficulty: Moderate

43. 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.

Answer: a

Difficulty: Moderate

44. 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.

Answer: b

Difficulty: Moderate

45. The measure of forecast error where the average absolute error of each forecast

is shown as a percentage of demand is

a. mean squared error (MSE).

b. mean absolute deviation (MAD).

c. mean absolute percentage error (MAPE).

d. bias.

e. the tracking signal.

Answer: c

Difficulty: Hard

46. The measure of whether a forecast method consistently over- or underestimates

demand is

a. mean squared error (MSE).

b. mean absolute deviation (MAD).

c. mean absolute percentage error (MAPE).

d. bias.

e. the tracking signal.

Answer: d

Difficulty: Moderate

47. The measure of how significantly a forecast method consistently over- or

underestimates demand is

a. mean squared error (MSE).

b. mean absolute deviation (MAD).

c. mean absolute percentage error (MAPE).

d. bias.

e. the tracking signal.

Answer: e

Difficulty: Hard

Essay/Problems

1. Explain the role of forecasting in a supply chain.

Answer: The forecast of demand forms the basis for all strategic and planning

decisions in a supply chain. Throughout the supply chain, all push processes are performed in anticipation of customer demand, whereas all pull processes are

performed in response to customer demand. For push processes, a manager

must plan the level of production. For pull processes, a manager must plan the

level of available capacity and inventory. In both instances, the first step a

manager must take is to forecast what customer demand will be. When each

stage in the supply chain makes its own separate forecast, these forecasts are

often very different. The result is a mismatch between supply and demand. When all stages of a supply chain produce a collaborative forecast, it tends to be much

more accurate. The resulting forecast accuracy enables supply chains to be both more responsive and more efficient in serving their customers. Leaders in many

supply chains, from PC manufacturers to packaged goods retailers, have started moving toward collaborative forecasting to improve their ability to match supply

and demand.

Difficulty: Moderate

2. Describe the basic characteristics of forecasts that managers should be aware of.

Answer: Companies and supply chain managers should be aware of the

following characteristics of forecasts:

1. Forecasts are always wrong and should thus include both the expected value

of the forecast and a measure of forecast error. Thus, the forecast error (or

demand uncertainty) must be a key input into most supply chain decisions. An

estimation of demand uncertainty is unfortunately often missing from forecasts,

resulting in estimates that vary widely among different stages of a supply chain

that is not forecasting collaboratively.

2. Long-term forecasts are usually less accurate than short-term forecasts; that is,

long-term forecasts have a larger standard deviation of error relative to the mean than short-term forecasts.

3. Aggregate forecasts are usually more accurate than disaggregate forecasts,

as they tend to have a smaller standard deviation of error relative to the mean.

The greater the degree of aggregation, the more accurate the forecast.

4. In general, the further up the supply chain a company is (or the further they are

from the consumer), the greater the distortion of information they receive. One

classic example of this is the bullwhip effect, where order variation is amplified as orders move further from the end customer. As a result, the further up the supply chain an enterprise exists, the higher the forecast error. Collaborative forecasting based on sales to the end customer can help enterprises further up the supply

chain reduce forecast error.

Difficulty: Moderate

3. Explain the four types of forecasting methods.

Answer: Forecasting methods are classified according to the following four types:

1. Qualitative: Qualitative forecasting methods are primarily subjective and rely

on human judgment. They are most appropriate when there is little historical data available or when experts have market intelligence that is critical in making the

forecast. Such methods may be necessary to forecast demand several years into the future in a new industry.

2. Time series: Time series forecasting methods use historical demand to make a

forecast. They are based on the assumption that past demand history is a good

indicator of future demand. These methods are most appropriate when the basic

demand pattern does not vary significantly from one year to the next. These are

the simplest methods to implement and can serve as a good starting point for a

demand forecast.

3. Causal: Causal forecasting methods assume that the demand forecast is

highly correlated with certain factors in the environment (e.g., the state of the

economy, interest rates, etc.). Causal forecasting methods find this correlation

between demand and environmental factors and use estimates of what

environmental factors will be to forecast future demand.

4. Simulation: Simulation forecasting methods imitate the consumer choices that

give rise to demand to arrive at a forecast. Using simulation, a firm can combine

time series and causal methods to answer such questions as: What will the

impact of a price promotion be? What will the impact be of a competitor opening

a store nearby?

Difficulty: Moderate

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

forecasting.

Answer: 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.

Difficulty: Moderate

5. Discuss key issues of forecasting in practice.

Answer: Collaborate in building forecasts. C ollaboration with supply chain

partners can often create a much more accurate forecast. However, most

forecasts are still made not just within one company, but within one function in a company. It takes an investment of time and effort to build the relationships with your partners to begin sharing information and creating collaborative forecasts.

The supply chain benefits of collaboration, however, are often an order of

magnitude greater than the cost.

The value of data depends on where you are in the supply chain. Although

collaboration is a hot topic, this does not mean that reams and reams of data

need to be shared across the supply chain. The value of data depends on where one sits in the supply chain. To avoid being overwhelmed with data when

collaborating and not being able to sort out what’s valuable, think about what

data is valuable to each member of the supply chain and share only that data.

Be sure to distinguish between demand and sales. Often, companies make the

mistake of looking at historical sales and assuming that this is what the historical demand was. To get true demand, adjustments need to be made for unmet

demand due to stockouts, competitor actions, pricing, promotions, and so forth.

In many cases, these adjustments are qualitative in nature but are crucial to

accurately reflect reality. Although it is not always easy, making an adjustment in

a forecast to move toward demand from just sales will increase accuracy and

therefore supply chain performance.

Difficulty: Moderate

6. Given the following data for demand at the XYZ Company, calculate the monthly

forecast for 2003 using a 3-month moving average. Calculate the MAD and the

tracking signal. Is this a good forecast?

140.63. The tracking signal indicates that this forecast method tends to under-forecast demand, but not to the extreme.

Difficulty: Moderate

7. Using data from the previous problem, calculate the monthly forecast for 2003

using simple e xponential smoothing with an α = .2. Calculate the MAD and the tracking signal. How does this forecast compare with the previous one?

standard deviation than the moving average. The tracking signal indicates that simple exponential smoothing over-forecasts a little, where the moving average under-forecasts a little.

Difficulty: Hard

《供应链管理》期末试卷A及答案

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