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