Managing assemblies with uncertain demands containing common parts

1. An apparatus comprising:

at least one processor;

a memory coupled to the at least one processor; and

an inventory planning mechanism residing in the memory and executed by the at least one processor, the inventory mechanism adapted to:

determine a use requirement of at least one common component and at least one unique component in a plurality of product models;

receive a sales forecast and an expected forecast for each of the plurality of product models that use the common component;

compute, for each of the at least one common components, a first total feature requirement based on the sales forecast and the determined use requirement of the at least one common component;

compute, for each of the at least one common components, a second total feature requirement based on the expected forecast and the determined use requirement of the at least one common component;

compute a commonality factor for each of the at least one common components;

compute a delta demand for the at least one common components based on a difference of the first total feature requirement and the second total feature requirement;

compute a demand correction factor for each of the at least one common components by multiplying the commonality factor by the delta demand; and

compute demand requirements for each of the at least one common components by subtracting the demand correction factor from the second total feature requirement.

2. The apparatus of claim 1 wherein the inventory planning mechanism is further adapted to determine current inventory of the common component.

3. The apparatus of claim 1 , wherein the inventory planning mechanism is further adapted to analyze a product bill of materials to identify common parts.

4. A computer-implemented method for determining purchase requirements for a component in an inventory control system, comprising:

determining a use requirement for at least one common component and at least one unique component in a plurality of product models;

receiving a sales forecast and an expected forecast for each of the plurality of product models that use the common component;

computing, for each of the at least one common components, a first total feature requirement based on the sales forecast and the determined use requirement of the at least one common component;

computing, for each of the at least one common components, a second total feature requirement based on the expected forecast and the determined use requirement of the at least one common component;

computing a commonality factor for each of the at least one common components;

computing a delta demand for the at least one common components based on a difference of the first total feature requirement and the second total feature requirement;

computing a demand correction factor for each of the at least one common components by multiplying the commonality factor by the delta demand; and

computing, by operation of one or more computer processors, demand requirements for each of the at least one common components by subtracting the demand correction factor from the second total feature requirement.

5. The computer-implemented method of claim 4 , wherein determining demand requirements comprises reading a description for the at least one assembly that specifies at least one component of the at least one assembly.

6. The computer-implemented method of claim 4 , further comprising determining a current inventory of the common component.

7. The computer-implemented method of claim 4 , further comprising analyzing a product bill of materials to identify common parts.

8. The computer-implemented method of claim 4 , wherein the demand correction factor is based at least in part on the delta demand and on a degree of commonality between the product models.

9. A computer program product for determining purchase requirements for a component in an inventory control system, the computer program product comprising:

a non-transitory computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code comprising:

computer-readable program code configured to determine a use requirement of at least one common component and at least one unique component in a plurality of product models;

computer-readable program code configured to receive a sales forecast and an expected forecast for the plurality of product models that use the common component;

computer-readable program code configured to compute, for each of the at least one common components, a first total feature requirement based on the sales forecast and the determined use requirement of the at least one common component;

computer-readable program code configured to compute, for each of the at least one common components, a second total feature requirement based on the expected forecast and the determined use requirement of the at least one common component;

computer-readable program code configured to compute a commonality factor for each of the at least one common components;

computer-readable program code configured to compute a delta demand for the at least one common components based on a difference of the first total feature requirement and the second total feature requirement;

computer-readable program code configured to compute a demand correction factor for each of the at least one common components by multiplying the commonality factor by the delta demand; and

computer-readable program code configured to compute demand requirements for each of the at least one common components by subtracting the demand correction factor from the second total feature requirement.

10. The computer program product of claim 9 , wherein determining demand requirements comprises reading a description for the at least one assembly that specifies at least one component of the at least one assembly.

11. The computer program product of claim 9 , wherein the computer-readable program code further comprises computer-readable program code configured to determine a current inventory of the common component.

12. The computer program product of claim 9 , wherein the computer-readable program code further comprises computer-readable program code configured to analyze a product bill of materials to identify common parts.

13. The computer program product of claim 9 , wherein the demand correction factor is related to a degree of commonality between the product models that use the common component.

14. The apparatus of claim 1 , wherein computing the commonality factor for each of the at least one common components comprises:

computing a total demand variation for each of the at least one unique parts;

normalizing the sales forecast, wherein the sales forecast is unbiased;

computing a difference of the unbiased forecast and the sales forecast;

computing a first ratio by dividing the square root of the number of common products by the number of common products; and

computing the commonality factor by adding one to the product of the difference of the unbiased forecast and the sales forecast and the first ratio.

15. The apparatus of claim 14 , wherein the demand requirements for the at least one common component reflects a lower total demand variation than a total demand variation for the at least one unique component.

16. The computer-implemented method of claim 4 , wherein computing the commonality factor for each of the at least one common components comprises:

computing a total demand variation for each of the at least one unique parts;

normalizing the sales forecast, wherein the sales forecast is unbiased;

computing a difference of the unbiased forecast and the sales forecast;

computing a first ratio by dividing the square root of the number of common products by the number of common products; and

computing the commonality factor by adding one to the product of the difference of the unbiased forecast and the sales forecast and the first ratio.

17. The computer-implemented method of claim 16 , wherein the demand requirements for the at least one common component reflects a lower total demand variation than a total demand variation for the at least one unique component.

18. The computer-program product of claim 9 , wherein computing the commonality factor for each of the at least one common components comprises:

computing a total demand variation for each of the at least one unique parts;

normalizing the sales forecast, wherein the sales forecast is unbiased;

computing a difference of the unbiased forecast and the sales forecast;

computing a first ratio by dividing the square root of the number of common products by the number of common products; and

computing the commonality factor by adding one to the product of the difference of the unbiased forecast and the sales forecast and the first ratio.

19. The computer-program product of claim 18 , wherein the demand requirements for the at least one common component reflects a lower total demand variation than a total demand variation for the at least one unique component.