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Cause-and-Effect Models can have multiple independent variables.

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True

Which of the following indices provided by the Institute for Supply Management (ISM) is considered the most important by economists because it is a composite of five weighted,seasonally adjusted indices?


A) Purchasing Managers Index
B) Export Orders Index
C) Production and Inventory Index
D) New Orders Index

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A

List FOUR benefits that can be achieved by implementing a successful CPFR program.

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a.Strengths partner relationships
b.Prov...

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Your company is conducting forecasting that revolves around the current recession and expansion of the U.S.economy.This type of forecasting can be referred to as what component of a time series?


A) Trend Variations
B) Cyclical Variations
C) Seasonal Variations
D) Random Variations

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B

Which one of the following is not a type of qualitative forecasting?


A) Sales force composite
B) Consumer survey
C) Jury of executive opinion
D) Naïve method

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Associative forecasting methods are based on opinions and intuition.

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The impact of poor communication and inaccurate forecasts resonates along the supply chain and results in the:


A) Bullwhip effect
B) Delphi method
C) CPFR effect
D) Mean deviation

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The four components of time series data are: trend variations,cyclical variations,seasonal variations,and random variations.Briefly describe each type of variation.

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​a.Trend variations: Trend variations ca...

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As tighter control limits are instituted for the tracking signal,there is a greater probability of finding exceptions that require no action,but it also means catching changes in demand earlier.

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 Month  Actual  Forecast 110112810398466578\begin{array}{lll}\text { Month } & \text { Actual } & \text { Forecast } \\\hline 1 & 10 & 11 \\2 & 8 & 10 \\3 & 9 & 8 \\4 & 6 & 6 \\5 & 7 & 8\end{array} -Based on the information in Data Set E2,what is the mean squared error (accurate to 2 decimals) ?


A) 7.00
B) 1.40
C) 1.00
D) 0.80

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In the Delphi forecasting method,a group of internal and external experts are surveyed during several rounds in terms of future events and long-term forecasts of demand but the group members do not physically meet.

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The modern day business environment must deal with a more homogenous consumer base,which has caused the evolution of a more "push" oriented environment where suppliers must focus on manufacturing high volumes of standardized goods and convince consumers to buy their products.

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Some of the benefits of CPFR include strengthening partner relationships,providing an analysis of sales and order forecasts,and allowing collaboration on future requirements and planning.

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Explain the key challenges of CPFR implementation.

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​The key challenges are the difficulty o...

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Which of the following is NOT a benefit of CPFR?


A) Improved corporate image among regulators
B) Integrates planning, forecasting and logistics activities
C) Provides analysis of sales and order forecasts
D) Provide an analysis of key performance metrics

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 Month  Actual  Forecast 110112810398466578\begin{array}{lll}\text { Month } & \text { Actual } & \text { Forecast } \\\hline 1 & 10 & 11 \\2 & 8 & 10 \\3 & 9 & 8 \\4 & 6 & 6 \\5 & 7 & 8\end{array} -A forecasting method has produced the following data over the past 5 months shown in Data Set E2.What is the mean absolute deviation (accurate to 2 decimals) ?


A) ?0.60
B) ?1.20
C) 1.00
D) 1.25

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The following time-series approach to forecasting uses historical data to generate a forecast and works well when demand is fairly stable over time:


A) Naïve Forecast
B) Weighted Moving Average
C) Simple Moving Average
D) Exponential Smoothing

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According to the textbook,which of the following is NOT a way to closely match supply and demand?


A) Holding high amounts of inventory
B) Maintaining a rigid pricing system
C) Utilizing overtime
D) Hiring temporary workers

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The difference between a simple regression forecast and a multiple regression forecast is that simple regression is used when there is only one explanatory (or independent)variable,while multiple regression is used when there are numerous explanatory variables.

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Answer the following questions regarding quantitative and qualitative forecasting: a.Define quantitative forecasting. b.Explain the naïve forecasting method and give an example. c.What are the benefits of using the naïve forecasting method? d.Under which circumstances would one utilize a combination of both quantitative and qualitative forecasting?

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a.Define quantitative forecasting.​
Quan...

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