IP Library Granted Patent US 10,445,696
Granted Patent B2
US 10,445,696 · App. 15/396,857 · Granted Oct 15, 2019

Methods and systems for orchestration of supply chain processes using internet of technology sensor's events

Inventor: Deleep Kumar Nossam (Sunnyvale, CA)
Assignee: Wipro Limited
G06Q10/0875G06Q10/083
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Quick Facts
Patent No.
US 10,445,696
App. No.
15/396,857
Filed
Jan 3, 2017
Granted
Oct 15, 2019
Kind
B2
Art Unit
3687
USPC
705/29
Abstract

In one embodiment, a method for orchestration of supply chain processes is disclosed. The method includes obtaining, by an orchestration system, Internet of Things (IOT) sensor data from IOT sensors, wherein the IOT sensors monitor a plurality of supply chain processes. The method includes determining, by the orchestration system, a process event corresponding to a supply chain process of the plurality of supply chain processes by analyzing the IOT sensor data and process impact data. Further, the method includes identifying, by the orchestration system, one or more process orchestrators for the process event based on a predictive model and executing, by the orchestration system, one or more workflows for each of the one or more process orchestrators based on pre-defined rules.

Claims (31)

1. A method for orchestration of supply chain processes, the method comprising:

obtaining, by an orchestration system, Internet of Things (IOT) sensor data from IOT sensors, wherein the IOT sensors monitor a plurality of supply chain processes;

determining, by the orchestration system, a process event corresponding to a supply chain process of the plurality of supply chain processes by analyzing the IOT sensor data and process impact data;

identifying, by the orchestration system, one or more process orchestrators that are impacted by the process event based on a predictive model, wherein the one or more process orchestrators comprises a supply process orchestrator, a quality process orchestrator, a fulfillment process orchestrator, a shipment process orchestrator, and an inventory process orchestrator; and

executing, by the orchestration system, one or more workflows for each of the one or more process orchestrators that are impacted by the process event based on pre-defined rules, wherein the executing of the one or more workflows comprises performing one or more corrective actions related to occurrence of the process event.

2. The method of claim 1 , wherein the process impact data comprises real time impact data and historical impact data.

3. The method of claim 1 , wherein the process event comprises a quality process event, a fulfillment process event, a shipment process event, an inventory process event, a supply process event.

4. The method of claim 1 , further comprising performing, by the orchestration system, root cause analysis to identify a root cause associated with the process event.

5. The method of claim 1 , wherein the one or more corrective actions are extracted from a pre-defined database.

6. The method of claim 5 , wherein the performing of the one or more corrective actions comprises transmitting a notification to one or more stakeholders affected by the process event.

7. An orchestration system for orchestration of supply chain processes, the orchestration system comprising:

a processor; and

a memory communicatively coupled to the processor, wherein the memory stores processor instructions, which, on execution, causes the processor to:

obtain Internet of Things (IOT) sensor data from IOT sensors, wherein the IOT sensors monitor a plurality of supply chain processes;

determine a process event corresponding to a supply chain process of the plurality of supply chain processes by analyzing the IOT sensor data and process impact data;

identify one or more process orchestrators that are impacted by the process event based on a predictive model, wherein the one or more process orchestrators comprises a supply process orchestrator, a quality process orchestrator, a fulfillment process orchestrator, a shipment process orchestrator, and an inventory process orchestrator; and

execute one or more workflows for each of the one or more process orchestrators that are impacted by the process event based on pre-defined rules, wherein the executing of the one or more workflows comprises performing one or more corrective actions related to occurrence of the process event.

8. The orchestration system of claim 7 , wherein the process impact data comprises real time impact data and historical impact data.

9. The orchestration system of claim 7 , wherein the process event comprises a quality process event, a fulfillment process event, a shipment process event, an inventory process event, a supply process event.

10. The orchestration system of claim 7 , wherein the processor is further caused to perform root cause analysis to identify a root cause associated with the process event.

11. The orchestration system of claim 7 , wherein the one or more corrective actions are extracted from a pre-defined database.

12. The orchestration system of claim 11 , wherein the one or more corrective actions comprises transmitting a notification to one or more stakeholders affected by the process event.

13. A non-transitory computer readable medium including instructions stored thereon that when processed by at least one processor cause a device to perform operations comprising:

obtaining Internet of Things (IOT) sensor data from IOT sensors, wherein the IOT sensors monitor a plurality of supply chain processes;

determining a process event corresponding to a supply chain process of the plurality of supply chain processes by analyzing the IOT sensor data and process impact data;

identifying one or more process orchestrators that are impacted by the process event based on a predictive model, wherein the one or more process orchestrators comprises a supply process orchestrator, a quality process orchestrator, a fulfillment process orchestrator, a shipment process orchestrator, and an inventory process orchestrator; and

executing one or more workflows for each of the one or more process orchestrators that are impacted by the process event based on pre-defined rules, wherein the executing of the one or more workflows comprises performing one or more corrective actions related to occurrence of the process event.

14. The non-transitory computer readable medium of claim 13 , wherein the process impact data comprises real time impact data and historical impact data.

15. The non-transitory computer readable medium of claim 13 , wherein the process event comprises a quality process event, a fulfillment process event, a shipment process event, an inventory process event, a supply process event.

16. The non-transitory computer readable medium of claim 13 , wherein the operations further comprising performing root cause analysis to identify a root cause associated with the process event.

17. The non-transitory computer readable medium of claim 13 , wherein the one or more corrective actions are extracted from a pre-defined database.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 3, 2017
From: NOSSAM, DELEEP KUMAR
To: WIPRO LIMITED
Reel/Frame 040819/0438 →
Continuity (1)
Related Publication 20180189731A1 · Jul 5, 2018