Chapter 8 Flashcards

1
Q

It is the art and science of predicting future events to make informed business decisions, often using a combination of mathematical methods and intuition.

A

operations management

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2
Q

three forecasting time horizons

A

Short-range, Medium-range, Long-range

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3
Q

Forecasting Time Up to 3 months; for immediate planning like hiring and purchases.

A

Short-range

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4
Q

Forecasting Time 3 months to 3 years; for budgeting and sales planning.

A

Medium-range

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5
Q

Why is accurate forecasting strategically important?

A

It helps manage workforce and capacity effectively, minimizes costs, improves customer satisfaction, and maintains market competitiveness.

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5
Q

Forecasting Time 3+ years; for strategic decisions like new product development.

A

Long-range

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6
Q

What are the two main forecasting approaches?

A

Qualitative, Quantitative

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7
Q

Forecasting methods based on intuition, experience, and judgment, including Jury of Executive Opinion, Delphi Method, Sales Force Composite, and Consumer Market Surveys.

A

Qualitative

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8
Q

Methods that rely on mathematical and statistical models, including Time Series Models and Associative Models.

A

Quantitative

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9
Q

What is the significance of demand forecasting?

A

It estimates consumer demand, guiding production levels, inventory, and resource allocation.

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10
Q

How do technological forecasts impact operations management?

A

By identifying trends in technology, they enable businesses to innovate and create new products or improve processes.

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11
Q

A forecasting technique where the next period’s forecast equals the most recent actual value.

A

Naïve Method

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12
Q

A quantitative forecasting method that uses historical data patterns to predict future outcomes.

A

time series model

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13
Q

It gathers input from decision-makers, staff, and respondents in iterative rounds to refine forecasts.

A

Delphi Method

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14
Q

A forecasting method that assigns more weight to recent data points, using a smoothing factor
𝛼

A

exponential smoothing

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15
Q

An associative model analyzing the linear relationship between independent and dependent variables to predict outcomes.

A

linear regression

16
Q

A forecasting method where sales staff provide estimates, reviewed for realism and aggregated into a total forecast.

A

sales force composite

17
Q

Predictions related to economic indicators like housing starts and inflation rates

A

economic forecasts

18
Q

It assumes that historical patterns in data will continue into the future.

A

trend projection

19
Q

A forecasting approach where prospective customers are surveyed to estimate demand for products.

A

consumer market survey

20
Q

To smooth out short-term fluctuations and highlight longer-term trends in data.

A

moving averages

21
Q

A qualitative forecasting method where high-level experts and management provide their judgment to predict future events.

A

Jury of Executive Opinion

22
Q

The process of determining the capacity needed by an organization to meet future demands, influenced heavily by forecasts.

A

capacity planning

23
Q

Predictions about the rate of technological progress and trends, enabling organizations to innovate and create new products.

A

technological forecasts

24
Q

A quantitative forecasting method that uses relationships between variables, such as through linear regression, to predict outcomes.

A

Associative Model

25
Q

Projections of customer demand for a product or service, crucial for supply chain and operations planning.

A

demand forecasts