Technology sharing during demand and supply planning in a network-based supply chain environment

• US 8,560,366 B2
• Filed: 04/27/2011
• Issued: 10/15/2013
• Est. Priority Date: 11/22/1999
• Status: Expired due to Term

• Current Assignee: Accenture Global Services Limited (Accenture PLC)
• Original Assignee: Accenture Global Services Limited (Accenture PLC)
• Inventors: Mikurak, Michael G.
• Primary Examiner(s): Meinecke Diaz, Susanna M
• Application Number:
  US13/095,580
• Publication Number:
  US 20110251868A1
• Time in Patent Office: 902 Days
• Field of Search: 705/7.12
• US Class Current: 705/7.12
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• CPC Class Codes: G06Q 10/06375 Prediction of business process outcome or impact based on a proposed change
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities

Abstract

A system, method, and article of manufacture are provided for technology sharing during demand and supply planning in a network-based supply chain environment. Steps included are providing locator and mapping capabilities utilizing the network. Technology that includes streaming audio, stereo audio and video data is also shared utilizing the network. Encryption capabilities for the technology are also included. Further, searching capabilities are provided utilizing the network in addition to logging events and passive user profiling. The event logging includes logging network operations. User profile data is automatically received and stored. User profile data includes user identity, state, preferences and interests. User profile data is also automatically exported to an active profile manager which automatically adds additional user profile data. Additional user profile data includes information related to whether the user is a service provider or a manufacturer and the location of user.

Claims

1. A computer-implemented method, performed by a computer connected to a processor and a network, for a computerized framework manager to supply collaborative planning comprising:

furnishing, by the processor, connections to the network for use by a plurality of business entities, wherein the plurality of business entities comprise at least one of service providers, vendors, resellers, and manufacturers;

receiving, by the processor, information via the network from a first business entity of the plurality of business entities, including information relating to a demand of the first business entity for offerings;

receiving, by the processor, information via the network from a second business entity of the plurality of business entities, including information relating to a first supply of offerings from the second business entity;

receiving, by the processor, information via the network from a third business entity of the plurality of business entities, including information relating to a second supply of offerings from the third business entity;

comparing, by the processor, the first supply, the second supply, and the demand for the offerings to plan future supply and demand for the offerings;

selecting, by the processor, a supplier from a group consisting of the second business entity and the third business entity based on a result of the comparing;

using, by the processor, the network to facilitate planning between the first business entity and the supplier selected;

using, by the processor, the network to provide data access from multiple simultaneous data sources for demand and supply planning; and

storing, by the processor, capacity data using the network wherein storing capacity data using the network includes replication and synchronization capabilities;

wherein selecting a supplier includes;

receiving, by the processor, information via the network from the first business entity, including information relating to, first budget associated with the offerings from the second business entity;

receiving by the processor, information via the network from the first business entity, including information relating to a second budget associated with the offerings from the third business entity;

determining, by the processor, whether a first cost associated with the offerings from the second business entity is less than a first threshold level associated with the first business entity and whether a second cost associated with the offerings from the third business entity is less than a second threshold level associated with the first business entity;

selecting, by the processor, the second business entity as the supplier if the first cost is less than the first budget;

selecting, by the processor, the third business entity as the supplier if the second cost is less than the second budget; and

placing, by the processor, an equal number of orders by the first entity with the second business entity and the third business entity if the first cost is less than the first budget and the second cost is less than the second budget.

2. A method as recited in claim 1, further comprising:

using the network to facilitate collaborative network roll-out and planning between the first business entity and the supplier selected.

3. A method as recited in claim 1, further comprising:

using the network to facilitate collaborative forecasting between the first business entity and the supplier selected.

4. A method as recited in claim 1, further comprising:

using the network to provide a roll-out planning tool for facilitating collaborative network roll-out and planning between the first business entity and the supplier selected.

5. A method as recited in claim 1, further comprising:

using the network to coordinate a supply of and the demand for offerings between the first business entity and the supplier selected.

6. A method as recited in claim 1, further comprising:

using the network to provide a supply chain planning tool for coordinating a supply of and the demand for offerings between the first business entity and the supplier selected.

7. A method as recited in claim 1, further comprising:

using the network to provide a production planning tool for facilitating collaborative capacity planning between the first business entity and the supplier selected.

8. A method as recited in claim 1, further comprising:

using the network to conduct reverse inventory management between the first business entity and the supplier selected.

9. A method as recited in claim 7, wherein the step of providing data access from multiple simultaneous data sources using a network includes supporting database connectivity protocols.

10. A method as recited in claim 7, wherein the step of providing data access from multiple simultaneous data sources using a network includes supporting data transfer in multiple languages.

11. A method as recited in claim 7, wherein providing data access from multiple simultaneous data sources using a network includes providing a common data access language.

12. A method as recited in claim 7, wherein storing capacity data using the network includes testing data integrity.

13. A method as recited in claim 8, further comprising:

using a network to collect data relating to usage and events occurring on at least one service provided by at least one service provider;

analyzing the data to determine a status of the at least one service;

using the status of the at least one service to predict future demand by the at least one service provider for equipment offering supplied by a manufacturer; and

determining production capacity, inventory, costs and discounts of manufacturer offerings based on the status of the at least one service.

14. A method as recited in claim 13, wherein the events include changes to the at least one service.

15. A method as recited in claim 13, wherein the events include capacity requests for the at least one service.

16. A method as recited in claim 13, wherein the events include performance degradation of the at least one service.

41. A method as recited in claim 1, wherein using the network to provide data access from multiple simultaneous data sources includes:

providing an interface to the plurality of business entities; and

allowing one of the plurality of business entities to monitor a consumption of goods related to the demand of the first business entity via the interface.

17. A non-transitory computer-readable storage medium including program instructions for performing, when executed by a computer connected to a processor and a network a method for a computerized framework manager to supply collaborative planning, the method comprising:

furnishing, by the processor, connections to a network for use by a plurality of business entities, wherein the plurality of business entities comprise at least one of service providers, vendors, resellers, and manufacturers;

receiving, by the processor, information via the network from a first business entity of the plurality of business entities, including information relating to a demand of the first business entity for offerings;

receiving, by the processor, information via the network from a second business entity of the plurality of business entities, including information relating to a first supply of offerings from the second business entity;

receiving, by the processor, information via the network from a third business entity of the plurality of business entities, including information relating to a second supply of offerings from the third business entity;

comparing, by the processor, the first supply, the second supply, and the demand for the offerings to plan future supply and demand for the offerings;

selecting, by the processor, a supplier from a group consisting of the second business entity and the third business entity based on a result of the comparing;

using, by the processor, the network to facilitate planning between at least the first business entity and the supplier selected;

using b the processor, the network to provide data access from multiple simultaneous data sources for demand and supply planning; and

storing, by the processor, capacity data using the network wherein storing capacity data using the network includes replication and synchronization capabilities;

wherein selecting a supplier includes;

receiving, by the processor, information via the network from the first business entity, including information relating to a first budget associated with the offerings from the second business entity;

receiving, by the processor, information via the network from the first business entity, including information relating to a second budget associated with the offering from the third business entity;

determining, by the processor, whether a first cost associated with the offerings from the second business entity is less than a first threshold level associated with the first business entity and whether a second cost associated with the offerings from the third business entity less than a second threshold level associated with the first business entity;

selecting, by the processor, the second business entity as the supplier if the first cost is less than the first budget;

selecting ,by the processor, the third business entity as the supplier if the second cost is less than the second budget; and

placing, by the processor, an equal number of orders by the first entity with the second business entity and the third business entity if the first cost is less than the first budget and the second cost is less than the second budget.

18. A non-transitory computer-readable storage medium as recited in claim 17, the method further comprising:

using the network to facilitate collaborative network roll-out and planning between the first business entity and the supplier selected.

19. A non-transitory computer-readable storage medium as recited in claim 17, the method further comprising:

using the network to facilitate collaborative forecasting between the first business entity and the supplier selected.

20. A non-transitory computer-readable storage medium as recited in claim 17, the method further comprising:

using the network to provide a roll-out planning tool for facilitating collaborative network roll-out and planning between the first business entity and the supplier selected.

21. A non-transitory computer-readable storage medium as recited in claim 17 the method further comprising:

using the network to coordinate a supply of and the demand for offerings between the first business entity and the supplier selected.

22. A non-transitory computer-readable storage medium as recited in claim 17, the method further comprising:

using the network to provide a supply chain planning tool for coordinating a supply of and the demand for offerings between the first business entity and the supplier selected.

23. A non-transitory computer-readable storage medium as recited in claim 17, the method further comprising:

using the network to provide a production planning tool for facilitating collaborative capacity planning between the first business entity and the supplier selected.

24. A non-transitory computer-readable storage medium as recited in claim 17, the method further comprising:

using the network to conduct reverse inventory management between the first business entity and the supplier selected.

25. A non-transitory computer-readable storage medium as recited in claim 23, wherein providing data access from multiple simultaneous data sources using a network includes supporting database connectivity protocols.

26. A non-transitory computer-readable storage medium as recited in claim 23, wherein providing data access from multiple simultaneous data sources using a network includes supporting data transfer in multiple languages.

27. A non-transitory computer-readable storage medium as recited in claim 23, wherein providing data access from multiple simultaneous data sources using a network includes providing a common data access language.

28. A non-transitory computer-readable storage medium as recited in claim 17, the method further comprising:

using a network to collect data relating to usage and events occurring on at least one service provided by at least one service provider;

analyzing the data to determine a status of the at least one service;

using the status of the at least one service to predict future demand by the at least one service provider for equipment offering supplied by a manufacturer; and

determining production capacity, inventory, costs and discounts of manufacturer offerings based on the status of the at least one service.

29. A non-transitory computer-readable storage medium as recited in claim 28, wherein the events include changes to the at least one service.

30. A non-transitory computer-readable storage medium as recited in claim 28, wherein the events include capacity requests for the at least one service.

31. A non-transitory computer-readable storage medium as recited in claim 28, wherein the events include performance degradation of the at least one service.

32. A system for a computerized framework manager to supply collaborative planning comprising:

a computer connected to a processor and a network; and

a memory containing instructions which, when executed by the processor, causes the system to perform a method comprising;

providing, by the processor, connections to a network for use by a plurality of business entities, wherein the plurality of business entities comprise at least one of service providers, vendors, resellers, and manufacturers;

receiving, by the processor, information via the network from a first business entity of the plurality of business entities, including information relating to a demand of the first business entity for offerings;

receiving, by the processor, information via the network from a second business entity of the plurality of business entities, including information relating to a first supply of offerings from the second business entity;

receiving, by the processor, information via the network from a third business entity of the plurality of business entities, including information relating to a second supply of offerings from the third business entity;

comparing, by the processor, the first supply, the second supply, and the demand for the offerings to plan future supply and demand for the offerings;

selecting, by the processor, a supplier from a group consisting of the second business entity and the third business entity based on a result of the comparing;

using, by the processor, the network to facilitate planning between the first business entity and the supplier selected;

using, by the processor, the network to provide data access from multiple simultaneous data sources for demand and supply planning; and

storing, by the processor, capacity data using the network wherein storing capacity data using the network includes replication and synchronization capabilities;

wherein selecting a supplier includes;

receiving, by the processor, information via the network from the first business entity, including information relating to a first budget associated with the offering from the second business entity;

receiving, by the processor, information via the network from the first business entity, including information relating to a second budget associated with the offerings from the third business entity;

determining, by the processor, whether a first cost associated with the offerings from the second business entity is less than a first threshold level associated with the first business entity and whether a second cost associated with the offerings from the third business entity is less than a second threshold level associated with the first business entity;

selecting, by the processor, the second business entity as the supplier if the first cost is less than the first budget;

selecting, by the processor, the third business entity as the supplier if the second cost is less than the second budget and

placing, by the processor, an equal number of orders by the first entity with the second business entity and the third business entity if the first cost is less than the first budget and the second costs less than the second budget.

33. A system as recited in claim 32, the method further comprising:

using the network to facilitate collaborative network roil-out and planning between the first business entity and the supplier selected.

34. A system as recited in claim 32, the method further comprising:

using the network to facilitate collaborative forecasting between the first business entity and the supplier selected.

35. A system as recited in claim 32, the method further comprising:

using the network to provide a roll-out planning tool for facilitating collaborative network roll-out and planning between the first business entity and the supplier selected.

36. A system as recited in claim 32, the method further comprising:

using the network to coordinate a supply of and the demand for offerings between the first business entity and the supplier selected.

37. A system as recited in claim 32, the method further comprising:

using the network to provide a supply chain planning tool for coordinating a supply of and the demand for offerings between the first business entity and the supplier selected.

38. A system as recited in claim 32, the method further comprising:

using the network to facilitate planning between the first business entity and the supplier selected.

39. A system as recited in claim 32, the method further comprising:

using the network to provide a production planning tool for facilitating collaborative capacity planning between the first business entity and the supplier selected.

40. A system as recited in claim 32, the method further comprising:

using the network to conduct reverse inventory management between the first business entity and the supplier selected.