Planungssimulation

Planungssimulation, often translated as planning simulation or simulation planning, refers to the use of computer models to forecast and analyze the outcomes of various business or logistical decisions. It involves creating a virtual representation of a system, such as a supply chain, production process, or service operation, and then experimenting with different scenarios to understand their potential impact. The goal is to identify optimal strategies, mitigate risks, and improve efficiency before implementing changes in the real world.

The process typically begins with data collection, gathering information about the existing system's performance, resources, and constraints. This data is then used to build a dynamic model that mimics the behavior of the real system over time. Planners can then introduce changes to the model, such as altering inventory levels, adjusting production schedules, or modifying transportation routes, and observe the simulated results. Key performance indicators like costs, delivery times, resource utilization, and customer satisfaction are tracked to evaluate the effectiveness of each scenario.

Planungssimulation is widely applied across industries, including manufacturing, retail, healthcare, and logistics. It helps in making informed decisions regarding capacity planning, inventory management, workforce scheduling, and network design. By allowing for risk-free experimentation, it reduces the likelihood of costly errors and provides a deeper understanding of complex interdependencies within a system. The insights gained from simulation planning can lead to significant improvements in operational performance and strategic decision-making.