System Simulation
系统仿真是通过建立计算机模型来模拟真实系统运行过程的技术，是工业工程的重要方法论。课程内容包括离散事件仿真基础、随机数生成与随机变量产生、输入数据分析、排队系统仿真、生产系统仿真、库存系统仿真、仿真输出分析、模型验证与确认、优化仿真等。学生将学习使用Arena、Flexsim或AnyLogic等仿真软件，掌握从系统建模、数据收集、模型构建到结果分析的完整仿真流程。
System Simulation is a technology that simulates real system operations through computer models, serving as an important methodology in industrial engineering. Topics include discrete event simulation fundamentals, random number generation, input data analysis, queuing system simulation, production system simulation, inventory system simulation, output analysis, model validation and verification, and simulation optimization. Students learn simulation software such as Arena, Flexsim, or AnyLogic, mastering the complete simulation process from system modeling to result analysis.
选择一条实际或虚拟的装配生产线作为研究对象，收集各工序时间、设备故障率、人员配置等数据。使用Flexsim或Arena建立生产线仿真模型，对现有系统的生产率、设备利用率、在制品库存、平均产出等性能指标进行分析。识别系统瓶颈，提出增加设备、调整作业排序、优化布局等改进方案，通过仿真实验验证方案效果并进行方案比选。
Select a real or virtual assembly production line as the research subject and collect data on process times, equipment failure rates, and staffing levels. Build a production line simulation model using Flexsim or Arena to analyze performance indicators such as productivity, equipment utilization, work-in-process inventory, and average output. Identify system bottlenecks, propose improvement plans such as adding equipment, adjusting job sequencing, and optimizing layout, and verify plan effectiveness through simulation experiments for comparison.