Chapter 4 Flashcards
Process of predicting a future event. It is the underlying basis of all business decisions.
Forecasting
3 forecasting time horizons:
Short range, medium range and long range.
Up to 1 year, generally less than 3 months. Used for purchasing, job scheduling, job assignments etc.
Short range forecast
3 months to 3 years, sales and production planning, budgeting.
Medium range forecast
3+ years, new product planning, facility location, research and development.
Long-range forecast
___ and ____ require longer forecasts than maturity and decline.
introduction and growth
addressing business cycle- inflation rate, money supply, housing starts, etc.
economic forecasts
predict rate of technological progress; impacts development of new products
technological forecasts
predict sales of existing products and services.
demand forecasts
seven steps in forecasting: 1. determine the use 2. Select the items to be forecasted 3. Determine the time horizon of the forecast 4. Select the forecasting models 5. gather the data needed r
- Make the forecast
7. Validate and implement the results
method of forecasting used when situation is vague and little data exist; involves intuition, experience
qualitative methods
method of forecasting used when situation is ‘stable’ and historical data exist; involves mathematical techniques
quantitative methods
Qualitative method that pool opinions of high-level experts and managers, combines managerial experience with statistical models. It is relatively quick, but had the group think disadvantage.
jury of executive opinion
Qualitative method that uses a panel of experts, iterative group process that continues until consensus is reached. Has three types of participants: decision makers, staff and respondents.
delphi method
Qualitative method, each salesperson projects their sales. Combined at district and national levels, sales reps know customer wants and may be overly optimistic.
sales force composite
set of evenly spaced numerical data. forecast based only on past values, no other variables important
time-series forecasting
Four types of time-series components:
trend, seasonal, cyclical and random.
persistent, overall upward or downward pattern. changes due to population, technology, age, culture, etc. typically several years duration.
trend component
regular pattern of up and down fluctuations. due to weather, customs, etc. occurs within a single year.
seasonal component
repeating up and down movements, affected by business cycle, political, and economic factors. multiple years duration.
cyclical component
erractic, unsystematic, residual fluctuations. due to random variation or unforeseen events.
random component
assumes demand in next period is the same as demand in most recent period.
naive approach
patterns in the data that occur every several years.
cycles.
Forecasts are useful in projecting staffing levels, inventory levels and
Factory capacity
Qualitative method that asks the customer about purchasing plans. Useful for demand product design and planning, what consumers say and what they do may be different, may be overly optimistic.
Market survey
Series of artithmetoc means, used if little or no trend. Used often for smoothing.
Moving average.