Asset Investment Optimization Based on Failure Risk

Abstract

We introduce a general framework for asset investment optimization for a group of geographically distributed assets over a time horizon. This enables a systematic evaluation of asset condition (i.e., failure risk) and replacement strategies to optimize capital allocation and operational expenses while maintaining system reliability. Our conditioned-based preventive replacement using predictive analytics and optimization provides better availability, utilization, and performance for assets.