DISTRIBUTED COMPUTING TO REDUCE A LATENCY OF DATA ANALYSIS OF A SALES AND OPERATIONS PLAN

• US 20120109703A1
• Filed: 10/27/2010
• Published: 05/03/2012
• Est. Priority Date: 10/27/2010
• Status: Abandoned Application

• Current Assignee: Steelwedge Software Incorporated (E2open Parent Holdings, Inc.)
• Original Assignee: Steelwedge Software Incorporated (E2open Parent Holdings, Inc.)
• Inventors: AGRAWAL, CHANDRA P., Margolis, Glen William
• Application Number:
  US12/912,784
• Publication Number:
  US 20120109703A1
• Time in Patent Office: Days
• US Class Current: 705/7.22
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 10/06312 Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

In one embodiment, a method includes creating a demand plan in a distributed cloud infrastructure based on a demand-forecasting algorithm that considers multi-party input in client-side visualizations of a certain aspect of the demand plan appropriate to a demand-side stakeholder based on a rules-based algorithm that considers a demand-side access privilege and a demand-side role of the demand-side stakeholder. In addition, the method includes creating a supply plan in the distributed cloud infrastructure based on another supply-forecasting algorithm that considers multi-party input in client-side visualizations of a particular aspect of the supply plan appropriate to a supply-side stakeholder based on a rules-based algorithm that considers a supply-side access privilege and a supply-side role of the supply-side stakeholder. In addition, the method includes applying a planning algorithm using a combined processing power of available ones of the set of processing units in the distributed cloud infrastructure to create a build plan.

Claims

1. A method comprising:

creating a demand plan in a distributed cloud infrastructure based on a demand-forecasting algorithm that considers multi-party input in client-side visualizations of a certain aspect of the demand plan appropriate to a demand-side stakeholder based on a rules-based algorithm that considers a demand-side access privilege and a demand-side role of the demand-side stakeholder;

creating a supply plan in the distributed cloud infrastructure based on another supply-forecasting algorithm that considers multi-party input in client-side visualizations of a particular aspect of the supply plan appropriate to a supply-side stakeholder based on a rules-based algorithm that considers a supply-side access privilege and a supply-side role of the supply-side stakeholder;

determining that a set of processing units in the distributed cloud infrastructure is available to process the demand plan and the supply plan;

applying a planning algorithm using a combined processing power of available ones of the set of processing units in the distributed cloud infrastructure to create a build plan when the at least one of the demand plan and the supply plan is processed in the distributed cloud infrastructure; and

reverting to a dedicated server processing to create the build plan when the set of processing units in the distributed cloud infrastructure is unavailable.

2. The method of claim 1 wherein:

at least one of the demand-side stakeholder and the supply-side stakeholder is external to an organization creating the build plan.

3. The method of claim 2 wherein:

the advanced planning system algorithm considers a capacity constraint, a manufacturing constraint, a lead time constraint, and a cost constraint when creating the build plan.

4. The method of claim 3 wherein:

the client side visualizations are through a plug-in in an off the shelf spreadsheet application.

5. The method of claim 4 wherein:

the off the shelf spreadsheet application is one of Microsoft®

Excel and a proprietary web-based spreadsheet application.

6. The method of claim 5 further comprising:

creating a “

what if”

build plan proactively prior to a request of a supply chain analyst in the cloud infrastructure based on a historical record to minimize a delay when the request is submitted.

7. The method of claim 6 further comprising:

creating the build plan based on a historical trend analysis, wherein the historical trend analysis is an analysis that uses a previous calculation as a basis for a current calculation.

8. The method of claim 7 further comprising:

creating the build plan based on a conflict resolution analysis, wherein the conflict resolution analysis is an analysis that uses an iterative process based on a weighting of the supply plan and the demand plan.

9. The method of claim 8 further comprising:

creating the build plan based on an optimization analysis, wherein the optimization analysis is an analysis to achieve the objective of the build plan, wherein the resource is one of a commodity and a human resource used in a production of goods and services, and wherein the objective of the sales and operations plan is to reduce a cost.

10. The method of claim 9 further comprising:

creating the build plan continuously such that a current calculation of the build plan is available to the client device.

11. The method of claim 10 further comprising:

determining a change between the current calculation and a previous calculation of the build plan; and

reducing the latency of an access of the current calculation through a delivery of the change to the client device through a push model.

12. The method of claim 1 in the form of a machine-readable medium embodying a set of instructions that, when executed by a machine, cause the machine to perform the method of claim 1.

13. A method of a client device comprising:

determining a set of a data of a sales and operations plan such that a report of the sales and operations plan is generated based on an analysis of the data;

processing the set of the data of the sales and operations plan such that the data is processed through a distributed network of a cloud environment;

reducing a latency of a generation of the report of the sales and operations plan through a parallel processing of the set of the data of the sales and operations plan through the distributed network of the cloud environment; and

processing a part of the sales and operations plan based on the set of the data of the sales and operations plan prior to a request through a client device such that the latency is reduced when a calculation of the part of the sales and operations plan is requested through the client device.

14. The method of claim 13 further comprising:

determining the sales and operations plan based on a historical trend analysis, wherein the historical trend analysis is the analysis that uses a previous calculation as a basis for a current calculation.

15. The method of claim 14 further comprising:

determining the sales and operations plan based on a conflict resolution analysis, wherein the conflict resolution analysis is the analysis that uses an iterative process based on a weighting of the data and a priority of the data.

16. The method of claim 15 further comprising:

determining the sales and operations plan based on an optimization analysis, wherein the optimization analysis to achieve the objective of the sales and operations plan, wherein the resource is one of a commodity and a human resource used in a production of goods and services, and wherein the objective of the sales and operations plan is to reduce a cost.

17. The method of claim 16 further comprising:

processing a change between the current calculation and the previous calculation of the sales and operations plan; and

reducing the latency of an access of the current calculation through a delivery of the change to the client device through a push model.

18. A system comprising:

a client device to determine a set of a data of a sales and operations plan such that a report of the sales and operations plan is generated based on an analysis of the data;

a server device to analyze the set of the data of the sales and operations plan based on an interdependency of the data; and

an agent to register the client device to the server device such that the server device pushes a calculation of the sales and operations plan to the client device.

19. The system of claim 18 wherein:

the server device to reduce a latency of a generation of the report of the sales and operations plan through a parallel processing of the set of the data of the sales and operations plan through a distributed network of a cloud environment.

20. The system of claim 19 wherein:

the server device to process a part of the sales and operations plan based on the set of the data of the sales and operations plan prior to a request through the client device such that the latency is reduced when the calculation of the part of the sales and operations plan is requested through the client device.