1. Inaccurate or incomplete data:
This is one of the most common mistakes in logistics simulation. If the data is incorrect, the simulation results can not truly reflect the actual production or business environment, which may lead to wrong decisions.
2. Unreasonable model design:
The logistics simulation model needs to conform to the actual situation and express all links in the logistics system as accurately as possible. If the model design is unreasonable, the simulation results will be biased.
3. Parameter setting error:
In logistics simulation, the setting of various parameters has great influence on the final result. If the parameters are set unreasonably, the simulation results will be distorted or unable to provide valuable information.
4. Improper simulation execution:
Logistics simulation needs a lot of time and energy. If the operation process is improper, such as stopping or destroying the simulation process, the simulation results may not be used.
5. Improper interpretation of the results:
Logistics simulation results need to be analyzed and explained by professionals before relevant conclusions can be drawn. If the results are not thoroughly explained or the necessary knowledge and skills are lacking, it is easy to produce wrong conclusions.
6. Ignore the dynamic changes of the system:
Logistics system is a dynamic process, including many links and entities. If the dynamic changes inside and outside the system are ignored in the simulation process, the results may not truly reflect the actual situation.
In the process of logistics simulation, full experiments and comparative analysis are needed to get accurate results. At the same time, attention should be paid to the reliability of input and output data in the simulation process to ensure the accuracy and effectiveness of the simulation results.
In addition, when interpreting the simulation results, we need to consider the visual display of data and the application of statistical methods in order to better understand and evaluate the significance of the simulation results. By avoiding common mistakes and adopting appropriate methods and technologies, logistics simulation can achieve the expected results and provide important support for the optimization and decision-making of logistics systems.