System and method for managing data associated with available to-promise (ATP) products

• US 8,423,395 B1
• Filed: 02/22/2000
• Issued: 04/16/2013
• Est. Priority Date: 06/16/1995
• Status: Expired due to Fees

• Current Assignee: JDA Software Group Incorporated (RedPrairie Holding Incorporated)
• Original Assignee: JDA Software Group Incorporated (RedPrairie Holding Incorporated)
• Inventors: Kennedy, Brian M.
• Primary Examiner(s): PAULS, JOHN A
• Application Number:
  US09/510,607
• Time in Patent Office: 4,802 Days
• Field of Search: 705 2- 4, 705/26, 705 7- 8, 705/22, 705/28
• US Class Current: 705/7.25
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: Y02P 90/80 Management or planning

Abstract

A software system for managing available to promise and making promises to fulfill customer requests is provided. The software system includes a supply chain model representing a chain of supply. The supply chain model includes site models that represent sites having capacity and that manage material flow. The supply chain model also includes seller models that represent sellers and that manage forecasting and purchasing. Commitments between sites is modeled by requests and promises, and the sellers can post requests on behalf of sites in anticipation of future requests from the sites.

Claims

1. A computer-implemented system for managing data associated with available-to-promise (ATP) products, comprising:

a memory storing a hierarchy of seller models, each seller model representing a seller of a product, the seller being within a hierarchy of sellers, wherein;

the hierarchy of sellers comprises at least one parent seller and at least two sub-sellers associated with the parent seller, and

the parent seller forecasts sales of the product; and

a processor coupled with the memory, wherein the processor;

computes an amount of the product that is ATP at each seller according to, at least, planned supply of the product, one or more customer orders for the product through each seller, a pre-allocated supply of the product to each seller, and an amount of the product that is ATP at one or more other sellers within the hierarchy of sellers;

adjusts the pre-allocated supply of the product to each seller according to customer orders across a time horizon and recomputes the amount of the product that is ATP at each seller according to the adjusted pre-allocated supply.

2. The system of claim 1, wherein the processor further adjusts the pre-allocated supply of the product to each seller according to one or more business criteria selected from the group consisting of seller criteria, product criteria, forecast criteria, supply criteria, customer order criteria, and policy criteria.

3. The system of claim 1, wherein the processor further:

communicates product forecast models to a remote system;

receives from the remote system a promise computed at the remote system for a customer order requesting a quantity of a product through each seller, the promise computed according to the pre-allocated supply of the product to each seller;

receives from the remote system adjusted product forecast models reflecting the promise; and

recomputes the amount of the product that is ATP at each seller.

4. The system of claim 3, wherein:

all product forecast models for one or more sellers are communicated to the remote system; and

wherein the processor further;

receives from the remote system the promise also computed according to the amount of the product that is ATP at the one or more other sellers in the hierarchy; and

adjusts the amount of the product that is ATP at the one or more other sellers in the hierarchy when the promise exceeds the pre-allocated supply of the product to each seller.

5. The system of claim 1, wherein the product forecast model further represents a quantity of the product each seller has committed to selling and the processor adjusts the pre-allocated supply of the product to each seller according to the committed quantity.

6. The system of claim 1, wherein the processor further:

accepts a customer order requesting a quantity of a product through each seller, and computes a promise for the customer order according to the planned supply and one or more existing customer orders, the promise restricted according to the pre-allocated supply of the product to each seller.

7. The system of claim 1, wherein:

each product forecast model is extensible such that one or more policy rules is associated with the corresponding product;

each policy rule comprises a restriction on either the forecasted sales or the pre-allocated supply of the product to each seller; and

either the forecasted sales or the pre-allocated supply of the product to each seller is computed according to the policy rules.

8. The system of claim 1, wherein the processor further adjusts either the forecasted sales or the pre-allocated supply of the product to each seller according to an arrival rate of customer orders for the product through each seller.

9. A computer-implemented system for managing data associated with available-to-promise (ATP) products, comprising:

a memory storing a hierarchy of seller models representing a seller of a plurality of products each product of the plurality of products corresponding to an item having one or more restrictions on its sale, at least two products of the plurality of products corresponding to the same item but with at least one different restriction, the seller being within a hierarchy of sellers, wherein;

the hierarchy of sellers comprises at least one parent seller and at least two sub-sellers associated with the parent seller,

and

the parent seller forecasts sales of the product; and

a processor coupled with the memory, wherein the processor;

computes an amount of the product that is ATP at each seller according to, at least, a planned supply of the product, one or more customer orders for the product through each seller, a pre-allocated supply of the product to each seller, and an amount of the product that is ATP at one or more other sellers within the hierarchy of sellers;

adjusts the pre-allocated supply of the product to each seller according to customer orders across a time horizon and recomputes the amount of the product that is ATP at each seller according to the adjusted pre-allocated supply.

10. The system of claim 9, wherein the restrictions are selected from the group consisting of price restrictions, quantity restrictions, and lead time restrictions.

11. The system of claim 9, wherein the processor further adjusts the pre-allocated supply of the product to each seller according to one or more business criteria selected from the group consisting of seller criteria, product criteria, forecast criteria, supply criteria, customer order criteria, and policy criteria.

12. The system of claim 9, wherein the processor further:

communicates product forecast models to a remote system;

receives from the remote system a promise computed at the remote system for a customer order requesting a quantity of one or more items through each seller, the promise computed according to at least the pre-allocated supply for corresponding products;

receives from the remote system adjusted product forecast models reflecting the promise; and

recomputes the amounts of the corresponding products that are ATP at each seller.

13. The system of claim 9, wherein the product forecast model further represents a quantity of corresponding products each seller has committed to selling and the processor adjusts the pre-allocated supply of the product to each seller according to the committed quantity.

14. The system of claim 9, wherein the processor further:

accepts a customer order requesting quantities of one or more items through each seller; and

computes a promise for the customer order according to the pre-allocated supply for corresponding products, wherein the promise comprises a plurality of options each with one or more of the restrictions specified for these products.

15. The system of claim 9, wherein:

each product forecast model is extensible such that one or more policy rules is associated with the corresponding product;

each policy rule comprises a restriction on either the forecasted sales or the pre-allocated supply of the product to each seller; and

either the forecasted sales or the pre-allocated supply of the product to each seller are computed according to the policy rules.

16. The system of claim 9, wherein the processor further adjusts either the forecasted sales or the pre-allocated supply for one or more products for each seller according to an arrival rate of customer orders for those products through seller.

17. A method for managing data associated with available-to-promise (ATP) products, comprising:

accessing by a computer comprising a memory and a processor, a hierarchy of seller models stored in the memory, each seller model representing a seller of a product, the seller being within a hierarchy of sellers, wherein

the hierarchy of sellers comprises at least one parent seller and at least two sub-sellers associated with the parent seller,

and

the parent seller forecasts sales of the product; and

computing by the processor, an amount of the product that is ATP at each seller according to, at least, a planned supply of the product, one or more customer orders for the product through each seller, a pre-allocated supply of the product to each seller, and an amount of the product that is ATP at one or more other sellers within the hierarchy of sellers;

adjusting, by the processor, the pre-allocated supply of the product to each seller according to customer orders across a time horizon and recomputes the amount of the product that is ATP at each seller according to the adjusted pre-allocated supply.

18. The method of claim 17, further comprising adjusting the pre-allocated supply of the product to each seller according to one or more business criteria selected from the group consisting of seller criteria, product criteria, forecast criteria, supply criteria, customer order criteria, and policy criteria.

19. The method of claim 17, further comprising:

communicating product forecast models to a remote system;

receiving a promise computed at the remote system for a customer order requesting a quantity of a product through each seller, the promise having been computed according to the pre-allocated supply of the product to each seller;

receiving from the remote system adjusted product forecast models reflecting the promise; and

recomputing the amount of the product that is ATP at each seller.

20. The method of claim 19:

wherein all product forecast models for one or more sellers are communicated to the remote system;

wherein the promise is computed according to the amount of the product that is ATP at the one or more other sellers in the hierarchy; and

further comprising adjusting the amount of the product that is ATP at the one or more other sellers in the hierarchy when the promise exceeds the pre-allocated supply of the product to each seller.

21. The method of claim 17:

wherein the product forecast model further represents a quantity of the product each seller has committed to selling; and

further comprising adjusting the pre-allocated supply of the product to each seller according to the committed quantity.

22. The method of claim 17, further comprising:

accepting a customer order requesting a quantity of a product through each seller, and computing a promise for the customer order according to the planned supply and one or more existing customer orders, the promise restricted according to the pre-allocated supply of the product to each seller.

23. The method of claim 17, wherein:

each product forecast model is extensible such that one or more policy rules is associated with the corresponding product;

each policy rule comprises a restriction on either the forecasted sales or the pre-allocated supply of the product to each seller; and

either the forecasted sales or the pre-allocated supply of the product to each seller is computed according to the policy rules.

24. The method of claim 17, further comprising adjusting either the forecast values or the pre-allocated supply of the product to each seller according to an arrival rate of customer orders for the product through each seller.

25. A method for managing data associated with available-to-promise (ATP) products, comprising:

accessing by a computer comprising a memory and a processor, a hierarchy of seller models stored in the memory, each seller model representing a seller of a plurality of products each product of the plurality of products corresponding to an item having one or more restrictions on its sale, at least two products of the plurality of products corresponding to the same item but with at least one different restriction the seller being within a hierarchy of sellers, wherein;

the hierarchy of sellers comprises at least one parent seller and at least two sub-sellers associated with the parent seller,

and

the parent seller forecasts sales of the product; and

computing by the processor, an amount of the product that is ATP at each seller according to, at least, a planned supply of the product, one or more customer orders for the product through each seller, a pre-allocated supply of the product to each seller, and an amount of the product that is ATP at one or more other sellers within the hierarchy of sellers;

adjusting, by the processor, the pre-allocated supply of the product to each seller according to customer orders across a time horizon and recomputes the amount of the product that is ATP at each seller according to the adjusted pre-allocated supply.

26. The method of claim 25, wherein the restrictions are selected from the group consisting of price restrictions, quantity restrictions, and lead time restrictions.

27. The method of claim 25, further comprising adjusting the pre-allocated supply of the product to each seller according to one or more business criteria selected from the group consisting of seller criteria, product criteria, forecast criteria, supply criteria, customer order criteria, and policy criteria.

28. The method of claim 25, further comprising:

communicating product forecast models to a remote system;

receiving a promise computed at the remote system for a customer order requesting a quantity of one or more items through each seller, the promise having been computed according to at least the pre-allocated supply for corresponding products;

receiving from the remote system adjusted product forecast models reflecting the promise; and

recomputing the amounts of the corresponding products that are ATP at each seller.

29. The method of claim 25, wherein:

the product forecast model further represents a quantity of corresponding products each seller has committed to selling; and

further comprising adjusting the pre-allocated supply of the product to each seller according to the committed quantity.

30. The method of claim 25, further comprising:

accepting a customer order requesting quantities of one or more items through each seller, and computing a promise for the customer order according to the pre-allocated supply for corresponding products, wherein the promise comprises a plurality of options each with one or more of the restrictions specified for these products.

31. The method of claim 25, wherein:

each product forecast model is extensible such that one or more policy rules is associated with the corresponding product;

each policy rule comprises a restriction on either the forecasted sales or the pre-allocated supply of the product to each seller; and

either the forecasted sales or the pre-allocated supply of the product to each seller is computed according to the policy rules.

32. The method of claim 25, further comprising adjusting either the forecasted sales or the pre-allocated supply for one or more products for each seller according to an arrival rate of customer orders for those products through each seller.