SYSTEMS AND METHODS FOR SUPPLY CHAIN DESIGN AND ANALYSIS

• US 20150051940A1
• Filed: 08/22/2013
• Published: 02/19/2015
• Est. Priority Date: 08/16/2013
• Status: Active Grant

• Current Assignee: TATA Consultancy Services Limited (Tata Sons Pvt Ltd.)
• Original Assignee: TATA Consultancy Services Limited (Tata Sons Pvt Ltd.)
• Inventors: Bhowmik, Amit, Sardar, Gautam
• Granted Patent: US 10,108,916 B2
• Time in Patent Office: Days
• US Class Current: 705/7.25
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis

Abstract

Systems and methods for supply chain design and analysis to optimize costs associated with a supply chain are described. According to an embodiment, the supply chain management system comprises a data extraction module, an analysis module, and a presentation module coupled to a processor. The data extraction module obtains supply chain data from one or more data sources. The analysis module analyzes a plurality of parameters and at least one future state map to ascertain at least one business scenario. Further, the analysis module identifies flow constraints in the at least one business scenario based on a flow analysis. Further, the analysis module selects decision parameters from amongst the plurality of parameters based on the flow constraints and a simulation feedback. Further, the analysis module simulates at least one experimental design based on the decision parameters. Furthermore, the presentation module generates, a plurality of maps based on visual analytics.

Claims

1. A supply chain management system for supply chain design and analysis, wherein the supply chain management system comprises:

a processor;

a data extraction module coupled to the processor to obtain supply chain data from one or more data sources;

an analysis module coupled to the processor to,

analyze, based on a value stream mapping, a plurality of parameters, and at least one future state map obtained from the supply chain data and scenario data to ascertain at least one business scenario;

identify, based on a flow analysis, flow constraints in the at least one business scenario;

select decision parameters from amongst the plurality of parameters based on at least one of the flow constraints and a simulation feedback, wherein the simulation feedback is obtained from previous simulation of business scenarios; and

simulate at least one experimental design based on the decision parameters, wherein the at least one experimental design is generated based on the at least one business scenario; and

a presentation module coupled to the processor to generate, based on visual analytics, a plurality of maps to depict at least one of a network flow, a process flow, the decision parameters, and costs associated with the supply chain.

2. The supply chain management system as claimed in claim 1, wherein the data extraction module obtains the scenario data based on user inputs, and wherein the scenario data includes cost details, material flow patterns and restrictions, process flows, and site constraints.

3. The supply chain management system as claimed in claim 1, wherein the supply chain data includes supplier data, bill of material, warehouse data, transport data, distribution, and production data.

4. The supply chain management system as claimed in claim 1, wherein the analysis module further comprises a parameterization module to,

determine a current state of the supply chain based on the supply chain data obtained from the one or more data sources;

identify the plurality of parameters by analyzing the current state and the scenario data;

create the at least one future state map of the supply chain based on the value steam mapping of the current state and the plurality of parameters; and

ascertain the at least one business scenario by analyzing the at least one future state map and the scenario data.

5. The supply chain management system as claimed in claim 1, wherein the analysis module further comprises a flow and network analysis (FNA) module to,

execute the flow analysis on the at least one business scenario;

and

identify the flow constraints from the at least one business scenario based on the flow analysis.

6. The supply chain management system as claimed in claim 5, wherein the flow and network analysis module selects the decision parameters from amongst the plurality of parameters based on the flow constraints and the simulation feedback, wherein the simulation feedback is obtained from previous simulations of business scenarios.

7. The supply chain management system as claimed in claim 5, wherein the flow and network analysis module executes a network analysis on the at least one business scenario to optimize resources of multiple enterprises present in the supply chain.

8. The supply chain management system as claimed in claim 1, wherein the analysis module further comprises a simulation module to,

generate the at least one experimental design based on the at least one business scenario;

simulate each of the at least one experimental design for the decision parameters;

determine, based on the simulation, the cost associated with the supply chain, wherein the cost includes operating expenses, capital expenditures, and working capital of the supply chain; and

optimize the cost associated with the supply chain based on a cost model.

9. The supply chain management system as claimed in claim 8, wherein the simulation module provides the simulation feedback to the flow and network analysis module.

10. The supply chain management system as claimed in claim 8, wherein the simulation module changes values of the decision parameters upon receiving the user input, and re-determines the cost associated with the supply chain based on a regression model.

11. The supply chain management system as claimed in claim 8, wherein the simulation module runs one of a continuous simulation and a discrete simulation depending upon type of industry present in the supply chain.

12. A method for supply chain design and analysis, the method comprises:

obtaining supply chain data from one or more data sources;

analyzing, based on a value stream mapping, a plurality of parameters and at least one future state map obtained from the supply chain data and scenario data to ascertain at least one business scenario;

identifying, based on a flow analysis, flow constraints in the at least one business scenario;

selecting decision parameters from amongst the plurality of parameters based on at least one of the flow constraints and a simulation feedback, wherein the simulation feedback is obtained from previous simulation of business scenarios;

simulating at least one experimental design based on the decision parameters, wherein the at least one experimental design is generated based on the at least one business scenario; and

generating, based on visual analytics, a plurality of maps to depict at least one of a network flow, a process flow, the decision parameters, and costs associated with the supply chain.

13. The method as claimed in claim 12 further comprises obtaining scenario data based on user inputs, and wherein the scenario data includes cost details, material flow patterns and restrictions, process flows, and site constraints.

14. The method as claimed in claim 12 further comprises executing a network analysis on the at least one business scenario to optimize resources of multiple enterprises present in the supply chain.

15. A non-transitory computer-readable medium having embodied thereon a computer readable program code for executing a method for determining consumption of resources, the method comprising:

obtaining supply chain data from one or more data sources;

analyzing, based on a value stream mapping, a plurality of parameters and at least one future state map obtained from the supply chain data and scenario data to ascertain at least one business scenario;

identifying, based on a flow analysis, flow constraints from the at least one business scenario;

selecting decision parameters from amongst the plurality of parameters based on at least one of the flow constraints and a simulation feedback, wherein the simulation feedback is obtained from previous simulation of business scenarios;

simulating at least one experimental design based on the decision parameters, wherein the at least one experimental design is generated based on the at least one business scenario; and

generating, based on visual analytics, a plurality of maps to depict at least one of a network flow, a process flow, the decision parameters, and costs associated with the supply chain.