Reliability Engineering in Continuous-Flow Ammonia Synthesis: A Semi-Markov Modeling Approach

Abstract

This study evaluates the steady-state availability of a synthetic ammonia process unit using a probabilistic mathematical framework based on the Markov birth-death process. First-order differential equations define system dynamics, and various failure and repair rates are analyzed to assess system performance. The results, presented through tabular and graphical representations, offer insights into potential system bottlenecks, aiding in reliability and maintenance optimization. By integrating advanced mathematical modeling with computational tools, this research provides a structured approach for enhancing efficiency and availability in ammonia manufacturing systems.