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Two resource dispatching rules for modeling human decisions in simulation

机译:在仿真中为人类决策建模的两种资源分配规则

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In an actual construction operation, a site manager usually has to make real-time decisions on dispatching shared resources to competing activities. To ensure a valid simulation of the operation on a computer, properly modeling how such decisions are made is crucial. This article presents two rules for guiding resource dispatching during simulation, addressed as objective function-based and control variable-based rules. The objective function-based rule defines an objective function for each activity which is competing for the resource; and an activity is selected if it has the optimum (either minimum or maximum) objective function value. A control variable is used to describe an indicator of the status of a simulation. Through structured conditional statements, it is used to control whether an activity shall or shall not be selected to receive a releasing resource according to the updated value of the control variable at the time when the decision is made. The algorithms are implemented in the ABC simulation system. A case study is presented to illustrate the usage and advantage of the presented rules. The results show an improved process production, and more stable and balanced operational behavior of the process after the real-time human decisions are modeled in the simulation. Through the animation function, a user can visualize on the screen that the decisions are dynamically made corresponding to the status of the simulation in the manner similar to what a site manager would make on the site.
机译:在实际的施工操作中,站点管理员通常必须做出实时决策,以将共享资源分配给竞争活动。为了确保有效地模拟计算机上的操作,正确建模如何做出此类决策至关重要。本文提出了两个用于指导仿真期间资源分配的规则,分别称为基于目标函数的规则和基于控制变量的规则。基于目标功能的规则为争夺资源的每个活动定义了目标功能;如果活动具有最佳(最小或最大)目标函数值,则选择该活动。控制变量用于描述模拟状态的指示器。通过结构化条件语句,它用于根据决策时控制变量的更新值来控制是否应选择一项活动来接收释放资源。该算法在ABC仿真系统中实现。进行了案例研究,以说明所提出规则的用法和优点。结果表明,在仿真中对实时人工决策进行建模后,流程的生产得以改善,并且流程的运行行为更加稳定和平衡。通过动画功能,用户可以在屏幕上看到与模拟状态相对应的动态决策,其方式类似于站点管理员在站点上所做的事情。

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