Intelligent Utility Performance Management System – Jio Platforms Limited
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Intelligent Utility Performance Management System
Problem
- High Site down MTTR resulting in service unavailability.
- Inefficient utilisation of battery and higher DG utilisation (>12 hrs).
- Unable to find RCA for faults.
- Higher field technician cost per facility.
- Unable to detect Diesel theft.
Solution
- Jio Platforms implemented a comprehensive and multifaceted strategy by utilising resources within its organisation.
- Collaborative efforts among various teams have fast-tracked the product development journey.
- Jio Platforms established a dedicated governance team that monitors advancements every week.
- Facilitated integrative development, continuous feedback, and the ability to adapt swiftly to requirements.
- Jio Platforms embarked on a transition from legacy systems to a cloud-native architecture.
Outcomes
- Increase Site/Device Health and Availability by 60%.
- Auto-discovery of all the utility nodes across 5 lac sites.
- Data retention capability for hourly, daily and yearly aggregation.
- User Concurrency for up to 1200+ users.
- Reduction in TAT for new functionality rollout to around 15 days.
SKOCH Award Nominee
Category: Other – Corporates
Sub-Category: secOther – Corporates
Project: Intelligent Utility Performance Management System
Start Date: 2022-12-07
Organisation: Jio Platforms Limited
Respondent: Mr Alhad Tamhane, Vice President
https://www.jio.com/platforms
Level: Club Star
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Case Study
Jio Intelligent Utility Management Performance System (JUMPS)
Intelligent Utility Management Performance System (JUMPS) helps Jio deliver uninterrupted customer services by increasing site uptime and reducing OpEx. This solution also makes a significant impact in reducing carbon footprint by almost 80%.
Managing utility equipment like SMPS, DG, Battery etc across various sites for a telco has always been daunting due to locations spread across various remote parts of the country. Reliance Jio has around 5 lakh sites with a growth rate of 20% per month due to the introduction of 5G. To cope with this growing Infrastructure and Jio’s vision to replace COTS with in-house products, JUMPS was developed based on open source, micro-services architecture that empowered the operations team.
Problem
Utility management systems that existed earlier had limited monitoring and scaling capability, higher maintenance and support costs, and high turnaround times to implement new features. Jio faced several site performance issues like high site down MTTR resulting in service unavailability, inefficient battery utilisation, higher DG utilisation, and repetitive faults.
Solution
Jio Platforms implemented a comprehensive and multifaceted strategy by utilising resources within its organisation, and collaborative efforts among various teams have fast-tracked the product development journey. JPL has been continuously collecting customer feedback, participating in industry forums and benchmarking against the best industry standards.
Jio Platforms established a dedicated governance team that diligently monitored advancements every week. Employing an Agile methodology, the project was executed in a series of sprints, each typically lasting around two weeks. This approach facilitated iterative development, continuous feedback, and the ability to adapt swiftly to evolving requirements.
Outcome
It has increased site/device health and availability by 60% and auto-discovery of all the utility nodes across 5 lakh sites. This platform/product has been engineered on the architecture principle of infinite scale that can monitor many ever-growing utility devices—data retention capability for hourly, daily and yearly aggregation and user concurrency for up to 1200+ users.
Process Automation and streamlining for areas like EB bill reconciliation, identification of diesel theft and reduction in the truck rolls resulted in the following measurable outcomes:
a. The Diesel saving concerning DG run hours by reduction of ~ 7300 hrs per day is approximately 12,500 Litres (Annual saving ~ Rs 40 crore).
b. Facility downtime reduction by 60% through intelligent monitoring.
c. The Site count of Batt Run Hours < 3 hrs in 24 hrs and DG run hours > 12 hrs reduced by 70%.
d. Manpower reduction by 80% through remote monitoring.
Summary
JUMPS was developed based on an open-source micro-services architecture that empowered the operations team. It offers pattern and trend-based analysis for predictive site failures with corrective actions within a time-bound fashion.
For more information, please contact:
Mr Alhad Tamhane, Vice President at Alhad1.Tamhane@ril.com
(The content on the page is provided by the Exhibitor)
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