基于离散事件和Agent模型仿真输出精度的定量比较
Comparing Simulation Output Accuracy of Discrete Event and Agent Based Models: A Quantitive Approach
摘要：
在我们的研究中，我们研究的离散事件仿真模型和基于代理的仿真模型时，研究以人为中心的复杂系统的输出精度。在本文中，我们专注于人类的反应行为，因为它是可能的，在这两种建模方法来实现人类的反应行为的模型，通过使用标准的方法。作为一个案例研究，我们选择了零售业，这里特别是在英国一家大型百货公司的女装部试衣间的运作。在我们的案例研究中，我们研究了通过模拟部门员工和客户的反应行为来确定实施新的试衣间运营管理政策的效率的方法。首先，我们进行了验证实验，将我们的模型结果与真实系统的性能进行了比较。该实验还使我们能够建立两种建模方法之间的输出精度差异。在第二步中，进行了多情景实验，以研究模型用于改进业务时的行为。总体而言，我们已经发现，对于我们的案例研究的例子，离散事件模拟和基于代理的模拟有同样的潜力，以支持调查的效率，实施新的管理政策。
英文摘要：
In our research we investigate the output accuracy of discrete event simulation models and agent based simulation models when studying human centric complex systems. In this paper we focus on human reactive behaviour as it is possible in both modelling approaches to implement human reactive behaviour in the model by using standard methods. As a case study we have chosen the retail sector, and here in particular the operations of the fitting room in the women wear department of a large UK department store. In our case study we looked at ways of determining the efficiency of implementing new management policies for the fitting room operation through modelling the reactive behaviour of staff and customers of the department. First, we have carried out a validation experiment in which we compared the results from our models to the performance of the real system. This experiment also allowed us to establish differences in output accuracy between the two modelling methids. In a second step a multi-scenario experiment was carried out to study the behaviour of the models when they are used for the purpose of operational improvement. Overall we have found that for our case study example both discrete event simulation and agent based simulation have the same potential to support the investigation into the efficiency of implementing new management policies.
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