1. Supplier Recovery Claim Automation
Veronica Heber, Senior Reliability Analyst
Neha Kichambare, Reliability Analytics Specialist
Cummins Inc.

2. Agenda Introduction and Background
Challenges of Previously Existing Process
Automating the Report Using JMP
Working With Data
Interacting With Users
Results
Demonstration

3. Introduction Background – Mapping warranty claims to key suppliers:
Partnerships with suppliers
Standardize warranty sharing agreements
Leads to improving quality for the customer
Cummins Dependability
Need for Automation:
Improve cycle time
Standardized and Transparent reporting
Implement best practices

4. Process of Mapping Claim to Supplier
From warranty claims with replacement part information, use the defined algorithm to identify the supplier

5. Process of Mapping Claim to Supplier
The algorithm integrates information from multiple databases to automate mapping of claims to suppliers
Claims – supplier 1
Claims – supplier 2
Claims – supplier 3
(Number of claims and $CoC6 assigned to supplier)
Warranty Claims
Input
Automated mapping process
Output
Mapping algorithm
OEPL1
Replacement part number  original part number (supersession list)
GPS2
Part number + engine plant + build date  supplier name
SIM3
Supplier names  unique supplier name
CPIF4
Service kits  component part number
Dictionary5
Engine-failcode  causal part noun name
1 Original Equipment Parts List (OEPL) Global Purchasing System (GPS) Supplier Information Management (SIM) Central Product Information File (CPIF)
5 Dictionary: Engine-failcode to most likely ‘causal’ part noun name data table developed using CMI expert inputs 6 Cost of Coverage (CoC)

6. Challenges of Previous Process
With the previously existing tools and resources, there are four key challenges

7. Solutions Through this Project
To overcome these challenges, the team developed an algorithm and implemented it in JMP 1 2 3 4
Obtain missing information by leveraging multiple data sources through Query Builder
Link disparate databases with common identifiers
Automation in JMP can handle the high volume of data
Translate non-standard nomenclature through Text Explorer
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8. Query Builder
Create and run customized queries against the various systems
Join tables on date ranges
Eg, date in service is within the time the part was sourced

9. Text Explorer
Variations in supplier names occur due to free-text entry fields
Text Explorer helps identify name re-coding and supplier recovery opportunities

10. Graph Builder Use Graph Builder to create custom graphs
Save as PowerPoint to share with users and suppliers

11. Notifications to Users
Remind users to periodically update certain lookup tables
Helps with maintenance, keeps the report current
Results and Information from the report
Provides immediate feedback for the user about the report status

12. Add-In Allows for efficient report distribution and maintenance
Easy for users to run
Automatically check for updates

13. User Interface
Allows user input
Provides information about the report

14. Results JMP’s capabilities for working with data:
Save countless hours of manual processing
Help standardize warranty agreements for key suppliers
In 2017: 48 suppliers
Through 2019: suppliers
Improvements in efficiency, scalability, and best-practices
JMP’s tools for interacting with users:
Enable us to deliver exactly what our users need with custom interface and user input
Promote continuous improvement and best-practices through notifications to users and free-text analysis

15. Demonstration

16. Questions?