In: Operations Management
Forecasting is an uncertain science since it calls for predictions but current theoretical and mathematical models (quantitative and qualitative) make it possible for organizations to predict with an acceptable margin of error. Think about it this way: Without forecasting, organizations would always be responding rather than acting.
Select one industry from the list below: Bank, restaurant, health clinic/hospital, airline, or university.
What specific variables would be needed by that organization in order to forecast? Be sure you explain why you selected each variable and why it is important to forecasting.
Which variables are used for short-range forecasting, long-range forecasting, or for both. Make sure you support your selections.
I would describe the Health Care industry.
Capital forecasting can be seen as the prediction of the capital expenditure requirement of any organization for future. Example, new unit for a medical college or a new unit for a healthcare organization which is to be opened in the present year and it must be forecasting well in advance so that proper planning can be ensured. Example of fixed expenses are salary structure, rent, depreciation and so on and these will also be included in ters of long term forecasting.