Process Simulation
Process simulation is a computational tool used to model, analyze, and optimize industrial processes, such as chemical plants, manufacturing systems, or supply chains, by creating digital representations of their operations. It enables engineers and developers to predict system behavior, test scenarios, and identify bottlenecks or inefficiencies without physical experimentation. Common applications include process design, troubleshooting, and performance improvement in industries like oil and gas, pharmaceuticals, and food production.
Developers should learn process simulation when working in industries that involve complex physical or logistical systems, such as chemical engineering, manufacturing, or operations research, to reduce costs and risks by virtual testing. It is particularly valuable for optimizing production processes, ensuring safety compliance, and supporting decision-making in plant design or upgrades. Use cases include simulating chemical reactions, modeling supply chain logistics, or analyzing energy consumption in industrial facilities.