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61 Terms
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1
What is forecasting?
The scientific process of predicting a future event.
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2
Give three examples of forecasting.
Weather forecast, sports games, sales forecast.
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3
What is the focus of demand/sales forecasting?
Studying and predicting future sales or demand for products.
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4
What is short-range forecasting?
Predicts a few days into the future and is used for day-to-day operational decisions.
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5
List two characteristics of short-range forecasting.
More accurate and uses quantitative techniques.
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6
What is long-range forecasting?
Predicts a few years into the future and is used for strategic long-term decisions.
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7
List two characteristics of long-range forecasting.
Less accurate and uses qualitative techniques.
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8
What does PLC stand for?
Product Life Cycle.
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9
How is PLC related to forecasting?
Different phases of PLC (Introduction, Growth, Maturity, Decline) require varying forecasting lengths.
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10
Describe the growth phase of the PLC.
Sales grow rapidly as consumers start liking and knowing the product.
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11
What is the maturity phase of the PLC?
Sales stabilize, and growth flattens out due to competition.
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12
What is the decline phase of the PLC?
Sales begin to decrease as demand wanes.
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13
Why is forecasting important for supply chain management?
It helps determine how much to order and when for supplies and materials.
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14
How does forecasting assist in capacity planning?
It indicates how much capacity is needed for storage, production, and sales.
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15
What role does forecasting play in human resource planning?
It helps determine the number of employees needed and where they should be stationed.
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16
Why is scheduling important in forecasting?
It helps decide when to schedule employees and for how long based on demand.
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17
How does forecasting assist in market positioning?
It informs product and advertising release timing according to market conditions.
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18
What is the Jury of Executive Opinion technique?
A qualitative technique involving a small group of high-level experts who provide insights based on experience.
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19
What are the disadvantages of the Jury of Executive Opinion?
It may lead to 'group think' which can limit diverse ideas.
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20
Describe the Delphi method.
An iterative process where feedback from a group is pooled until consensus is reached.
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21
What is the Sales Force Composite forecasting method?
It aggregates sales projections from each salesperson in their territory to predict future sales.
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22
Why may the Sales Force Composite be overly optimistic?
Sales reps may overestimate sales based on their strong relationships with customers.
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23
What is a time series?
A series of data points collected at regular time intervals to identify trends over time.
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24
List the four components of a time series.
Trend, seasonality, cyclicals, random errors.
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25
What signifies a trend in a time series?
A gradual upward or downward movement over time.
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26
How does seasonality affect a time series?
Regular fluctuations in data that occurs due to seasons or time cycles.
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27
What are cyclicals in a time series?
These are movements tied to macroeconomic events like economic cycles.
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28
What are random errors in the context of time series?
Unpredictable fluctuations that are unsystematic and random.
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29
Why is location important in strategic decision-making?
It significantly affects costs, is hard to change once established, and impacts long-term success.
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30
What are some factors that affect location decisions?
Labor productivity, wage rates, exchange rates, and proximity to consumers.
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31
What is a numeric question related to the Factor-Rating Method?
Calculate the weighted score by multiplying weights and their respective scores.
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32
Describe the Center-of-gravity method.
It identifies the location of a distribution center to minimize transportation costs.
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33
What is new forecast calculation in exponential smoothing?
New forecast = last period’s forecast + a(last period’s actual demand - last period’s forecast).
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34
What does the least squares method calculate?
It calculates regression variables to determine relationships between data points.
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35
How do you calculate Mean Squared Error (MSE)?
MSE = sum of (forecast errors)^2 / n.
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36
Explain Mean Absolute Deviation (MAD).
MAD = sum of absolute value of error / n.
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37
What is the formula for Mean Absolute Percent Error (MAPE)?
MAPE = ((sum of absolute value of error / actual value) / n) * 100.
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38
How is a weighted moving average calculated?
Weighted moving average = sum of (weight for period n × demand in period n) / sum of weights.
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39
What is a critical use of forecasting in business?
It enables companies to anticipate market changes and adapt accordingly.
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40
How does demand forecasting help businesses?
It allows businesses to align inventory levels with expected sales.
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41
What are the implications of inaccurate forecasting?
It can lead to either overproduction or stockouts, affecting sales and customer satisfaction.
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42
What is an example of a qualitative forecasting technique?
Market survey through questionnaires.
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43
How does the Jury of Executive Opinion rely on expertise?
It uses the intuitive judgment of experienced executives to forecast outcomes.
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44
How does the Delphi method ensure unbiased results?
It solicits anonymous feedback from participants, reducing influence from dominant voices.
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45
What type of forecast is more suitable for new products?
Long-range forecasts due to uncertainty in demand.
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46
Why is seasonal forecasting important in retail?
It helps retailers stock appropriately for different times of the year.
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47
What is the challenge of forecasting in volatile markets?
Increased unpredictability can lead to forecasting errors.
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48
How do organizations use salesforce forecasting effectively?
By combining individual forecasts for a more accurate aggregate prediction.
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49
What is the significance of the variables in the least squares regression?
They help in understanding the relationship between dependent and independent variables.
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50
Describe how random errors impact forecasting.
They introduce unpredictability, making it harder to achieve accurate forecasts.
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51
What is the advantage of qualitative forecasting methods?
They allow for insights that quantitative data may not capture.
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52
What role does technology play in modern forecasting?
It enhances data analysis and modeling capabilities for more accurate forecasts.
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53
Why is it crucial for businesses to adapt forecasting methods over time?
Market conditions and consumer behaviors change, requiring updated forecasting techniques.
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54
What is necessary for effective capacity planning?
Accurate forecasting to align production capacity with future demand.
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55
How does proximity to consumers affect location decisions?
Being close to the market can reduce transportation costs and improve service.
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56
What is one strategy for managing forecasting errors?
Regularly reviewing and adjusting forecasts based on real-time data.
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57
What does the ‘group think’ disadvantage imply for forecasting teams?
It could suppress diverse opinions and lead to less accurate predictions.
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58
What does the time series trend line indicate about sales?
It demonstrates the overall direction of sales performance over time.
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59
In forecasting, how are qualitative beliefs transformed into predictions?
By structuring expert opinions into a systematic method for assessment.
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60
What role do economic indicators play in forecasting?
They provide data that can help predict future market trends.
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61
How does seasonal forecasting benefit supply chain management?
It prepares organizations for fluctuations in demand throughout the year.
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