Method and system for mitigating risk in a supply chain

Patent metadata

Field	Value
Publication number	US-2017124495-A1
Application number	US-201615067940-A
Country	US
Kind code	A1
Filing date	Mar 11, 2016
Priority date	Nov 4, 2015
Publication date	May 4, 2017
Grant date	—

Abstract

A method and system is provided for mitigating risk in a supply chain. The present application provides a method and system for mitigating risk in a multi echelon stochastic flexible supply chain, comprises categorizing a plurality of supply chain risks pertaining into a plurality of supply chain risk sub categories; developing a risk decision model for each of the plurality of supply chain risk sub categories; extracting supply chain risk information from a plurality of information sources including a plurality of social media information sources; validating, customizing and estimating social media risk score for each of the plurality of supply chain risk sub categories; integrating estimated social media risk score for each of the plurality of supply chain risk sub categories for each supply chain member; and utilizing consolidated social media risk score in the developed risk decision model for mitigating risk.

First claim

What is claimed is:

1 . A method for mitigating risk in a multi echelon stochastic flexible supply chain; said method comprising processor implemented steps of:
a. categorizing a plurality of supply chain risks pertaining to said multi echelon stochastic flexible supply chain into a plurality of supply chain risk sub categories for each supply chain member of said multi echelon stochastic flexible supply chain using a supply chain categorization module ( 202 ); b. developing a risk decision model for each of the plurality of supply chain risk sub categories for each supply chain member of said multi echelon stochastic flexible supply chain using a risk decision model development module ( 204 ); c. extracting supply chain risk information pertaining to said multi echelon stochastic flexible supply chain from a plurality of information sources including a plurality of social media information sources using a supply chain risk information extraction module ( 206 ); d. validating, customizing and estimating social media risk score for each of the plurality of supply chain risk sub categories for each supply chain member of said multi echelon stochastic flexible supply chain using extracted supply chain risk information using a social media risk score estimation module ( 208 ); e. integrating estimated social media risk score for each of the plurality of supply chain risk sub categories for each supply chain member of said multi echelon stochastic flexible supply chain with historical supply chain risk information pertaining to said multi echelon stochastic flexible supply chain obtained from traditional supply chain risk information sources for obtaining consolidated social media risk score for each of the plurality of supply chain risk sub categories for each supply chain member of said multi echelon stochastic flexible supply chain using an estimated social media risk score integration module ( 210 ); and f. utilizing consolidated social media risk score of each of the plurality of supply chain risk sub categories for each supply chain member of said multi echelon stochastic flexible supply chain in the developed risk decision model for each of the plurality of supply chain risk sub categories for each supply chain member of said multi echelon stochastic flexible supply chain for supporting decision pertaining to said multi echelon stochastic flexible supply chain for mitigating risk using a consolidated social media risk score utilization module ( 212 ).

2 . The method as claimed in claim 1 , wherein the risk categories of the multi echelon stochastic flexible supply chain is selected from a group comprising of catastrophic risk, information risk, market risk, economic risk, and operations risk and the risk sub categories of the multi echelon stochastic flexible supply chain is selected from a group comprising of earthquake, tsunami, floods, adverse weather, fire, explosions, structural failures, hazardous spills, currency exchange rate volatility, lack of credit, bankruptcy, outsourcer service failure, data breach, cyber-attack, unplanned information technology, telecoms outage, industrial dispute, human illness, health & safety incident, product quality incident, loss of talent and skills, business ethics incident, civil unrest and conflict, new laws or regulations, act of terrorism, energy scarcity, transport network disruption, and environmental incident.

3 . The method as claimed in claim 1 , further comprises of configuring said multi echelon stochastic flexible supply chain network and respective policies including inventory, capacity, distribution, risk categories and sub categories for each supply chain member of said multi echelon stochastic flexible supply chain.

4 . The method as claimed in claim 1 , further comprises of extrapolating a new or existing plurality of supply chain risk sub categories of the plurality of supply chain risks for each supply chain member of said multi echelon stochastic flexible supply chain with probability of occurrence.

5 . The method as claimed in claim 1 , wherein the supply chain risk information extraction pertaining to said multi echelon stochastic flexible supply chain from the plurality of information sources is comprising processor implemented steps of:
a. identifying a plurality of locations and a plurality of entities pertaining to said multi echelon stochastic flexible supply chain; b. extracting in real time supply chain risk information pertaining to said multi echelon stochastic flexible supply chain for a particular organization based on the identified plurality of locations and the plurality of entities associated with the particular organization; and c. the real time extracted supply chain risk information pertaining to said multi echelon stochastic flexible supply chain for the particular organization is categorized.

6 . The method as claimed in claim 5 , wherein the plurality of locations and the plurality of entities are selected from a group comprising but not limited to location of the manufacturing plants, ware houses, delivery locations, mode of transport used for delivery at various stages of said multi echelon stochastic flexible supply chain.

7 . The method as claimed in claim 5 , wherein the real time extracted supply chain risk information pertaining to said multi echelon stochastic flexible supply chain for the particular organization is categorized in data pertaining to employees of the particular organization; general data; and entity data.

8 . The method as claimed in claim 7 , wherein the data pertaining to employees of the particular organization is comprising processor implemented steps of:
a. utilizing email address of the employees of the organization in combination of demographic details of the organization; b. applying fuzzy logic for obtaining social media handles for the employees; c. mapping data extracted from the plurality of social media information sources pertaining to said employees and checking quality of the data; and d. deriving a list of matching customers and estimating risk probability in said multi echelon stochastic flexible supply chain.

9 . The method as claimed in claim 7 , wherein the data pertaining to employees of the particular organization is utilized to track psychometric and general risk behavior of the employee.

10 . The method as claimed in claim 7 , wherein the categorized general data of the real time extracted supply chain risk information is selected from a group comprising of products being sold by the particular organization, location of the warehouse, manufacturing plant, locations which are important for the particular organization's supply chain.

11 . The method as claimed in claim 1 , wherein the extracted supply chain risk information pertaining to said multi echelon stochastic flexible supply chain from the plurality of information sources is further classified, evaluated, and analyzed for initial risk assessment of said multi echelon stochastic flexible supply chain.

12 . The method as claimed in claim 1 , further comprises of realizing, controlling and mitigating risk impact arising out of the plurality of supply chain risk sub categories of the plurality of supply chain risks for each supply chain member of said multi echelon stochastic flexible supply chain.

13 . The method as claimed in claim 1 , further comprises of outputting real-time animation, summary, graphs depicting performance and report for analyzing the risk impact arising out of the plurality of supply chain risk sub categories of the plurality of supply chain risks for each supply chain member of said multi echelon stochastic flexible supply chai

Assignees

• Tata Consultancy Services Ltd

Inventors

• Saxena Avneet
• Ramalingam Rajarajan Thangavel
• Bansal Vandita

Classifications

• G06Q10/40

  Business processes related to social networking or social networking services · CPC title

• G06Q50/01

  Physics · mapped topic

• G06Q10/0635 Primary

  Risk analysis of enterprise or organisation activities · CPC title

• G06Q10/0637

  Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals · CPC title