Product Analyst - Design and Coding in Asset Management Software Application
"How might we design and manage the asset management application to enable better asset management channels through automation scripting, service requests, preventive maintenance, work-order planning to bring in business value through scalable process design and execution to minimize operational load process?"
Company
Role
Team Size
Project Type

Accenture

Application Development Analyst,
(Product Analyst)

Team of 10
Customization & Management of Asset Management (IBM Maximo) tool to increase user experience of operators in the oil and manufacturing industry
Landing Page of Asset Management Tool - IBM MAXIMO

Project Overview

I worked with Accenture for over 2 years in an Asset Management tool - IBM Maximo to increase user experience of operations in the oil and oil manufacturing industry. I with my team collaboratively took ownership of sub projects with in the Client's business requirements and worked in omplex key features to enable better asset management channels through automation scripting, preventive maintenance, and work-order planning.

Planning Work Order Flow

Planning work order 

I designed new types of work orders in the tool that required appropriate classification changes within the application.

In the typical work order process flow, a task is identified (an asset is to be repaired) and an appropriate maintenance request is created, after which work order is prioritized and is scheduled for repair to be done. The asset is then repaired and once completed, the work order is set to complete where it is analyzed to determine whether rework is required.

This flow enables frontline users to prioritize, schedule, and analyze a work order without initiating it for a real-time repair or maintenance. They run checks and then can convert the planning work order to a regular work order or can cancel the work order.

Cut/Splice Work Order Overview

Cut/ Splice Work Orders 

I helped orchestrate product requirement planning and feasible design prototyping to drive IBM Maximo integration with external tools to handle cut and splice work orders. 

The asset types in this type of work order are either tubes or pipes used in the oil industry, and three functionalities are designed with these work orders.

The first functionality is the cut work order, in which an asset is cut and the frontline user initiates the cut with respect to length. 

Asset Type - Pipes & Tubes

An asset's length is updated, and a work order is scheduled. Once the work order is marked as complete, the asset is updated with the updated length, width, height, weight, and other specifications. The length of the asset that was cut is discarded in this scenario.

The second functionality is the cut work order with asset generation. The scenario is the same as in the first functionality, but this time the frontline user is given the option to generate a new asset with a cut length. By checking the box, the user not only can initiate to cut the length of an existing asset, but also generates a new asset with the cut length. When the work order is completed, the existing asset is updated with the specifications like the first scenario, and a new asset is generated with the length that is cut and appropriate specifications.

Splice Functionality

The third functionality is the splice work order, which allows the frontline user to initiate a work order by adding length to an existing asset, which updates the length and schedules a work order. When the work order is completed, the asset is updated with increased length and appropriate breadth, height and weight, and other involving specifications.

For these developments, I coded 12+ new scripts, modified the existing scripts and other changes like UI design changes, configuration changes to implement these new work orders into the existing work order process flow. 

"I learned to take ownership during my time at Accenture and would like to thank my amazing team mates, Accenture's leadership, and my clients for this early learning curve in my career."

Reach out, I'd love to hear from you

Vamsi Vanga
MEM Candidate - Northwestern University '22

saivanga2022@u.northwestern.edu