Hi,
Can any one pls tell me the differences between Statistical Forecasting, Constrained Forecasting and Unsconstrained Forecasting with an example.
Regards,
Kumar.
Request clarification before answering.
Kumar,
Consider a make-to-stock example. A packaged foods manufacturer supplies frozen meat products to retailers. For brevity, assume a single product and production capacity is limited by the raw material i.e. right animal (or bird) with respect age, weight, health, etc. There is a confirmed supply of 2500 kg of meat per month.
The sales demand (cleansed history) for past 3 months are as follows: (Comes from the sales history)
| Category | April | May | June |
|---|---|---|---|
| Cleansed Sales history | 2400 | 2600 | 2500 |
Considering a simple moving average method to generate statistical forecast and a simple promotion to take advantage of the summer month's seasonal demand.
| Category | July | Aug | Sept |
|---|---|---|---|
| Stat. Forecast | 2500 | 2533 | 2511 |
| Promotion | 600 | 1000 | 500 |
| Total unconstrained forecast | 3100 | 3533 | 3011 |
Since the available supply is only 2500 kg per month, the manufacturer has to look outside to meet the demand spikes (especially due to promotion). Assume the following confirmed capacity.
| Confirmed Capacity | July | Aug | Sept |
|---|---|---|---|
| In-house production | 2500 | 2500 | 2500 |
| External procurement | 450 | 600 | 511 |
| Total confirmed capacity | 2950 | 3100 | 3011 |
Based on meat availability constraint, the total confirmed capacity shown above will be our constrained forecast that can be met by the production.
| Category | July | Aug | Sept |
|---|---|---|---|
| Unconstrained Forecast | 3100 | 3533 | 3011 |
| Constrained Forecast | 2950 | 3100 | 3011 |
| Difference | 150 | 433 | 0 |
Since the difference is significant in July and Aug months, the manufacturer has to rework on the planned promotion for these two months.
I hope this simple example helps you to understand the business perspective of statistical, unconstrained, and constrained forecasts.
Thanks,
Rajesh
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