Industrial Asset Optimization
Generating Industrial Manufacturing Impact
Genpact's Industrial asset optimization solutions offer cross functional digital enablement, by combining design-thinking, Lean principles, digital technologies, and deep domain expertise. Our Data-to-ActionSM analytics approach integrates effective Systems of EngagementTM (SOE), Machine Intelligence, and Micro-services applications, across Engineering, Manufacturing and Aftermarket services, enabling tangible business outcomes such as service cost reductions (up to 20%), revenue enhancement (up to 15%), and improvement in asset uptime (up to 15%).
Genpact' s industrial asset optimization solutions harness the industrial internet of things by integrating assets and data sources on a common analytics platform to derive actionable insights through remote monitoring, diagnostics, and prognostics to enhance service revenues, drives field service management, reduce asset downtime and manage risk. Our solutions include:
- Asset service optimization including pre-contract analytics, contract setup and execution, contract appraisal analytics and contract portfolio risk analytics
- Asset performance optimization including assessment of current remaining useful life of assets, prognostics proof of concept, pilot and enterprise scale up, and continuous execution improvement
- Asset risk analytics to proactively identify and mitigate risks for customers related to asset performance and compliance through appraisal analytics and portfolio risk analytics
An international energy company improved asset uptime by 9% and ensure and 90% accuracy in component failure detection through integrated reliability solution and performance engineering improvement.
A global aviation company identified US$43 million for reconciliation against a deferred balance of US$368 million, by conducting a contract cost comparison against existing company financials.
A global transportation leader reduced overall spare parts consumption by 43% due to improved failure forecasting and predictive maintenance.
An international aviation company achieved US$15 million bottom-line impact through improved material and repair sourcing through cost-benefit analyses involving new materials and the repair mix.