REAL-TIME DISCRETE EVENT SIMULATION WITH LOCATION TRACKING

• US 20090030667A1
• Filed: 07/27/2007
• Published: 01/29/2009
• Est. Priority Date: 07/27/2007
• Status: Abandoned Application

• Current Assignee: Motorola Mobility, Inc. (Lenovo Group Ltd.)
• Original Assignee: Motorola, Inc. (Motorola Solutions, Inc.)
• Inventors: Schuler, Francesca, TOLOO, Mansour, Gyorfi, Julius S., Babin, Thomas S., Mok, Swee M.
• Application Number:
  US11/829,559
• Publication Number:
  US 20090030667A1
• Time in Patent Office: Days
• US Class Current: 703/17
• CPC Class Codes: G06F 2111/08 Probabilistic or stochastic CAD
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30
• CPC Class Codes: G06Q 10/08 Logistics, e.g. warehousing, loading or distribution; Inventory or stock management

Abstract

A machine-implemented method for simulating a supply chain for a product may include receiving real-time information regarding delays from at least one link in a product supply chain, simulating events in a supply chain based on the received information, and determining, based on the simulation, whether the costs and/or level of service relative to the product is unacceptable.

Claims

1. A machine-implemented method for simulating a supply chain for a product, the method comprising:

receiving real-time information regarding delays from at least one link in a product supply chain;

simulating events in the product supply chain based on said received information; and

determining, based on said simulating, whether at least one of costs and level of service relative to the product is unacceptable.

2. The method of claim 1, wherein said at least one link comprises at least one of a tracking-enabled transportation link and a tracking-enabled facility.

3. The method of claim 1, further comprising alerting a user as to whether at least one of costs and level of service is unacceptable.

4. The method of claim 1, further comprising:

determining changes between said received information and previously stored data and between at least one output of said simulating and previous outputs of said simulating.

5. The method of claim 4, further comprising statistically analyzing said changes.

6. The method of claim 5, further comprising:

receiving a hypothetical supply chain scenario associated with at least one link in the product supply chain;

simulating the hypothetical supply chain scenario; and

determining, based on said simulating of the hypothetical supply chain scenario, whether at least one of costs and level of service relative to the product is acceptable.

7. The method of claim 6, further comprising:

statistically analyzing changes between said hypothetical supply chain scenario and previously stored data and previous outputs of said simulating of events in the supply chain.

8. A processing device comprising:

at least one processor;

a memory including instructions for the processor; and

a bus for providing communication between the processor and the memory, the memory further comprising instructions for receiving real-time information regarding delays from at least one link in a product supply chain, simulating events in the product supply chain based on said received information, and determining, based on said simulating, whether at least one of costs and level of service relative to the product is unacceptable.

9. The processing device of claim 8, wherein said at least one link comprises at least one of a tracking-enabled transportation link and a tracking-enabled facility.

10. The processing device of claim 8, wherein the memory further comprises instructions for alerting a user as to whether at least one of costs and level of service is unacceptable.

11. The processing device of claim 8, wherein the memory further comprises instructions for determining changes between said received information and previously stored data and between at least one output of said simulating and previous outputs of said simulating.

12. The processing device of claim 11, wherein the memory further comprises instructions for statistically analyzing said changes.

13. The processing device of claim 12, wherein the memory further comprises instructions for receiving a hypothetical supply chain scenario associated with at least one link in the product supply chain, simulating the hypothetical supply chain scenario, and determining, based on said simulating of the hypothetical supply chain scenario, whether at least one of costs and level of service relative to the product is acceptable.

14. The processing device of claim 13, wherein the memory further comprises instructions for statistically analyzing changes between said hypothetical supply chain scenario and previously stored data and previous outputs of said simulating of events in the supply chain.

15. A tangible, machine-readable medium having instructions for at least one processor recorded thereon, the medium comprising:

instructions for receiving real-time information regarding delays from at least one link in a product supply chain;

instructions for simulating events in the product supply chain based on said received information; and

instructions for determining, based on said simulating, whether at least one of costs and level of service relative to the product is unacceptable.

16. The medium of claim 15, wherein said at least one link comprises at least one of a tracking-enabled transportation link and a tracking-enabled facility.

17. The medium of claim 15, wherein the memory further comprises instructions for alerting a user as to whether at least one of costs and level of service is unacceptable.

18. The medium of claim 15, wherein the memory further comprises:

instructions for determining changes between said received information and previously stored data and between at least one output of said simulating and previous outputs of said simulating; and

instructions for statistically analyzing said changes.

19. The medium of claim 18, wherein the memory further comprises instructions for receiving a hypothetical supply chain scenario associated with at least one link in the product supply chain, simulating the hypothetical supply chain scenario, and determining, based on said simulating of the hypothetical supply chain scenario, whether at least one of costs and level of service relative to the product is acceptable.

20. The medium of claim 19, wherein the memory further comprises instructions for statistically analyzing changes between said hypothetical supply chain scenario and previously stored data and previous outputs of said simulating of events in the supply chain.