Self-Learning Supply Chain System

1 . A system, comprising:

a supply chain planning database tangibly embodied on a computer-readable medium that receives supply chain data from a transaction system, and communicates the supply chain data to a planning model engine;

a risks and assumptions repository tangibly embodied on a computer-readable medium that receives supply chain data from the transaction system, and communicates updated supply chain assumptions to the supply chain planning database;

a persistent problems and work order management repository tangibly embodied on a computer-readable medium that communicates supply chain problems and supply chain problems resolutions with the planning model engine;

a root cause diagnostic library tangibly embodied on a computer-readable medium that communicates one or more performance deviations with the planning model engine; and

a planning levers library tangibly embodied on a computer-readable medium that determines at least one corrective action to resolve the one or more performance deviations.

2 . The system of claim 1 , wherein the system further comprises a business rules configuration manager tangibly embodied on a computer-readable medium that provides business model-specific templates and communicates with the supply chain planning database and the planning and models engine.

3 . The system of claim 2 , wherein the risks and assumptions repository comprises:

plan assumptions process control charts that leverage six sigma process control concepts to monitor and manage supply chain assumptions; and

early warning monitors that monitor actual execution of the supply chain and detect any known risks and root causes of the supply chain problems.

4 . The system of claim 2 , wherein the persistent problems and work order management repository further reconciles a cumulative work order performance by item and by facility.

5 . The system of claim 2 , wherein the root cause diagnostic library comprises:

a chain performance dashboard with diagnostic analytics that presents a summary of performance to plan metrics;

at least one planning-execution collaboration workflow that enables capture of how a published plan is overridden prior to accepting the published plan for execution; and

an automated plan review that that reviews published plans.

6 . The system of claim 2 , wherein the planning levers library comprises:

a library of levers that automates corrective actions to known or unknown risks;

a what-if analysis that evaluates feasibility and impact of levers; and

levers effectiveness monitoring and optimization.

7 . A system, comprising:

a first closed loop performance monitoring system coupled with one or more supply chain networks and configured to constantly monitor at least one key assumption of the one or more supply chain networks;

a second closed loop performance monitoring system coupled with the one or more supply chain networks configured to constantly monitor at least one key process indicator of the one or more supply chain networks;

a computer system coupled with the one or more supply chain networks and configured to:

execute the plan for the one or more supply chain networks by managing the at least one key assumption to determine the validity of the assumption;

automatically utilize at least one corrective action lever when a supply chain disruption occurs;

identify one or more root causes of a plan problem that occurs during the execution of the plan;

constantly monitor one or more segments with each execution of the plan;

determine one or more contingency plans for each of the supply chain disruptions;

track the plan problem and one or more resolutions of the plan problem; and

automatically adjust the plan for one or more resolution levers by the segment with each plan execution based on the continuous monitoring of the at least one key process indicator and the at least one key assumption.

8 . The system of claim 7 , wherein managing the at least one key assumption comprises managing the at least one key assumption with at least one key assumption process control chart in a risks and assumptions repository.

9 . The system of claim 8 , wherein the computer system is further configured to:

determine one or more risks for a supply chain disruption based on monitoring execution of the plan and detecting one or more known risks and one or more root causes of supply chain disruptions;

and generate an alert when a supply chain disruption is anticipated.

10 . The system of claim 9 , wherein monitoring the one or more segments comprises monitoring the segments on a business rules configuration manager.

11 . The system of claim 10 , wherein the computer system is further configured to:

simulate results of utilizing the at least one corrective action lever prior to utilizing the at least one corrective action lever.

12 . The system of claim 11 , wherein the at least one corrective action lever comprises a plurality of levers and the computer system is further configured to analyze effectiveness of the at least one corrective lever and optimize association of the at least one corrective action lever with a problem alert.

13 . The system of claim 12 , wherein the computer system is further configured to:

determine a plurality of possible corrective action levers of the plurality of corrective action levers prioritized by relative effectiveness for the problem alert.

14 . The system of claim 13 , wherein the computer system is further configured to:

present plan and execution data on a supply chain performance dashboard.

15 . The system of claim 14 , wherein the computer system is further configured to:

present guided analysis paths on the supply chain performance dashboard.

16 . The system of claim 15 , wherein identifying one or more root causes of the plan problem comprises identifying how the plan is overridden before accepting a refined plan for execution.