788 Consequence Assessment: The combined methodology provides a detailed assessment of failure consequences, including potential production losses, safety risks, and potential environmental impacts. Sensitivity Analysis: Scenario testing identifies the components with the greatest impact on overall availability—for example, whether improving pump reliability delivers more value than adding surge capacity. The integration of Dynamic Process Simulation (DPS) and Reliability, Availability, and Maintainability (RAM) analysis follows a structured, iterative workflow that continuously refines both models to improve design confidence and operational feasibility. Step A: Initial DPS Model: A baseline dynamic simulation is developed to characterise core process behaviour and establish key performance indicators (KPIs) under nominal operating conditions. https://www.semanticscholar.org/paper/PROCESS-SIMULATION-FOR-IMPROVED-PLANTDESIGN-Schug-Nees/73c4a2c4f377e680e3da2708baa8103fbe7bef59/figure/0 Figure 1. Dynamic Model of Grinding Circuit 1 Figure 2. Typical Mass Balance for Steady-State Grinding Circuit Model Step B: Initial RAM Analysis: An initial RAM model—typically created using tools such as ReliaSoft Availability Workbench, AREL, or Maros — uses available reliability data to identify equipment bottlenecks and estimate system availability.
RkJQdWJsaXNoZXIy MTM0Mzk2