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Exam (elaborations)

SCM 303 Exam 3 MSU Questions And 100% Correct Answers

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SCM 303 Exam 3 MSU Questions And 100% Correct Answers...

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  • November 4, 2024
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  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • SCM 303 MSU
  • SCM 303 MSU
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SCM 303 Exam 3 MSU Questions And 100%
Correct Answers


Demand planning - ANSWER the combined process of forecasting and managing
customer demands to create a planned pattern of demand that meets the firms
operational and financial goals

demand forecasting - ANSWER a decision process in which managers predict demand
patterns

demand management - ANSWER a proactive approach n which managers attempt to
influence the pattern

stable pattern - ANSWER a consistent horizontal stream of demands



seasonality and cycles - ANSWER regular patterns of demand that are in the form of
repeating highs and lows

trend - ANSWER the general sloping tendency of demand either upward or downward in
either linear or nonlinear fashion



shift or step change - ANSWER a one time change in demand usually due to some
external influence on demand



autocorrelation - ANSWER the correlation of current demand values with past demand
values



forecast error - ANSWER the difference between a forecast and the actual demand



grassroots forecasting - ANSWER a technique that seeks inputs from people who are in
close contact with customers and products



executive judgment - ANSWER forecasting techniques that use input from high level

, experienced managers



historical strategy - ANSWER a forecasting technique that uses data and experience
from similar products to forecast the demand for a new product



marketing research a forecasting technique that bases forecasts on the purchasing
patterns and attitudes of current or potential customers Delphi method forecasts
developed by asking a panel of experts to individually and repeatedly respond to a
series of questions time series analysis models forecasting models that compute
forecasts using historical data arranged in the order of occurrence



naive model - ANSWER a simple forecasting approach which assumes recent history is
a good predictor of the near future



moving average - ANSWER a forecasting model which calculates a forecast as the
average of demands over a number of immediate past periods



weighted moving average - ANSWER a forecasting model which assigns a different
weight to each period's demand depending on the relative importance



exponential smoothing - ANSWER a moving average approach that applies exponentially
decreasing weights to each demand that occurred father back in time



smoothing coefficient - ANSWER a parameter indicating the weight given to the most
recent demand.



regression analysis - ANSWER a mathematical approach for fitting an equation to a set
of data



seasonal index - ANSWER an adjustment factor applied to forecasts to account for
seasonal changes or cycles in demand

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