The object-oriented approach enables a child object to inherit its properties (attributes) and behaviors (methods) from a parent object. The main key capability of Plant Simulation is the object-oriented and hierarchical modeling approach. Based on these simulation models, you can perform an analysis of the system characteristics, detect potential vulnerabilities or bottlenecks, and optimize performance including resource utilization, throughput, and material handling operations. Plant Simulation enables its user to create an object-oriented and hierarchical simulation model of production and logistics systems, including their complex control strategies. Plant Simulation is a discrete-event process simulation software and part of the Tecnomatix digital manufacturing solutions by Siemens PLM Software. In order to get feasible results with reasonable efforts, the level of detail of a simulation model should be neither too detailed nor too abstracted. Thus, simulation results can only be as good as the model and the data on which the simulation experiment is based (VDI 3633-1, 2010). Simulation is always based on a model, which is a simplified reproduction of a planned or an existing system. Experiment and analysis of simulation results.A typical process of a simulation project consists of (Rabe, Spieckermann, Wenzel, 2008): In manufacturing and logistics, simulation helps to identify bottlenecks, high inventory levels, feasible throughput amount, and suitable control strategies. The scope of simulation can range from a sub-area of a production facility to a globally distributed supply-chain network. As such, discrete-event simulation jumps from one event or one state change to the next and skips the time in between. when a station starts or finishes processing a part.
Whereas continuous simulation view state changes in the simulation model over time in a continuous manner, discrete-event simulation only inspects certain points in time, at which a certain event takes places or a certain model component changes its states, e.g. Mainly, there are two different types of simulation: Simulation can be used for physical phenomena, business processes, pedestrian and traffic flow, as well as manufacturing and logistics operations. Train workers in the process and material flow.Analyze the influence of failures and interruptions.Analyze what-if scenarios without interrupting an operating system.Verify resource and buffer utilization, batch sizes, and inventory levels.Optimize control strategies, scheduling, and order sequencing.Analyze system behavior over long time periods and during ramp-upsĭuring the operation phase, simulation can be used to:.