CH 3- opp FUNDEMENTALS

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Description and Tags

Demand Forecasting, Time Series Model, Moving Average and Weighted Moving Average

8 Terms

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What is a demand forecast?

the estimate of expected demand during specified future period of time

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What are the 4 features common to ALL forecasts?

  1. Forecasts closer to accuracy in groups rather than individual items

  2. Forecasts tend to be less accurate the further the date is out

  3. Forecasts tend not to be perfect, make room for inaccuracies

  4. forecasting techniques assume that was has happened in the past will continue to exist in the future


3
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What is the defnition of a “Time Series”?

A Time Series is a timed ordered sequence of observations taken at regular intervals over a period of time.

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In demand forecasting, what are the 6 time series models ? describe each?

  1. level - consistent

  2. trend - upward or downward movement

  3. seasonality - weather and holidays/halloween

  4. cycles - trends that come and go (can last a year for example)

  5. irregular variation - one time situation that doesn’t happen regularly - covid/earthquake

  6. random variation - when all other things are accounted for, the remaining (noise)


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What are the 3 key factors to take into consideration for forcasting?

  1. cost - how much will it cost

  2. accuracy - more accurate the more costly it will be

  3. time horizon - is there historical data available? how reliable is it?


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Why are averaging methods used?

are used  when historical data typically contain a certain amount of random variation  that tends to obscure systematic movements in the data.

The Averaging techniques smooth fluctuations  in a time series  because the individual highs and lows in the data offset each other when they are combined into an average = create more clarity.

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Moving Average definition

technique that averages a number of recent actual values as forecast for the current period. It is updated as new values become available

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Weighed moving average

a variation of moving average where more recent values in the time series are given larger weight in calculating a forecast