lesson 2 Flashcards

1
Q

in operations management it refers to a prediction of future demand for products or services over a specified future time period.

A

forecast

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2
Q

is a vital activity that influences decision-making related to production, inventory management, capacity planning, and resource
allocation, among other areas.

A

forecasting

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3
Q

Forecasting can be based on?

A

historical data, qualitative analysis, statistical
methods, or a combination of these

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4
Q

What is the main aim of forecasting in operations management?

A

to align operational activities and resources with anticipated demand to efficiently
meet customer needs while optimizing costs.

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5
Q

Used for decisions related to day-to-day operations, such as
scheduling, inventory ordering, and production runs. It typically spans days to a few months.

A

Short-term forecasts

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6
Q

Used for decisions related to resource allocation, capacity planning, and budgeting. It usually spans from a few months to a couple of years.

A

medium-term forecasts

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7
Q

Focuses on strategic decisions like business growth, capital investments, and entering new markets. It covers time frames that are several years
or more.

A

Long-term Forecasts

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8
Q

Relies on expert judgment, intuition, and subjective assessments. It is typically used when historical data is not available, such as
for new product launches.

A

Qualitative Forecasting

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9
Q

Employs mathematical models and historical data to predict future demand. Common methods include moving averages,
exponential smoothing, and regression analysis.

A

Quantitative Forecasting

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10
Q

Regularly updating forecasts is essential. As
new data becomes available or
market conditions change,
adjustments are needed to ensure
the forecast remains relevant.

A

Frequency of Updates

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11
Q

All forecasts will have to account for
the various factors or components
of variation, such as trend,
seasonality, cyclic variations, and
random fluctuations.

A

Components of Variation

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12
Q

Elements of Good Forecast

A

•Accuracy
•Timeliness
•Reliability
•Simplicity
•Cost Effective
•Clear Assumptions

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13
Q

Another Elements of Good Forecast

A

• ADAPTABILITY
•APPROPRIATE TIME HORIZON
•FEEDBACK MECHANISM
•COLLABORATION
•DOCUMENTEDPROCESS AND METHODOLOGY
•BIAS MINIMIZATION
•CONSISTENCY

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14
Q

Steps in Forecasting Process

A
  1. Problem Definition
  2. Gathering Information
  3. Choosing a Forecasting Method
  4. Developing the Forecast
  5. Testing the Forecast
  6. Implementing the Forecast
  7. Monitoring and Control
  8. Feedback and Adjust
  9. Documentation
  10. Continuous Learning
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