The Life Cycle Cost Analysis (LCCA) is typically used as the process of compiling all costs that owner of an asset will incur over the lifespan. The purpose of this project is to develop a predictive analysis model of lifetime heat exchanger. The heat exchanger is used as heaters or coolers in power plants and process heat exchangers in the petroleum-refining and chemical industries. This project aims to produce a data analytics tool that can perform series of analysis by considering life time, equipment condition and subsequent usage rate. Life Cycle Cost is used to determine the lifetime and condition of the heat exchanger. The project used Artificial Neural Network (ANN) algorithm with R programming language for forecasting. The analysis dashboard will assist engineers to make informed decision to replace the equipment at an optimized lifetime. © 2018 IEEE.