The system reliability sensitivity to organizational factors simulation results based on Bayesian Network

This dataset is the simulation results utilizing the Anylogic software to simulate system reliability as the tank polish process, including three workers (supervisor, technician, and operator), and five steps: Step1, the supervisor checks all the tools and facilities; Step2, three workers climb up the scaffold; Step3, supervisor supervise while the technician and operator polish the tank welds; Step4,three workers climb down the scaffold; Step5, technician and operator clean the tank inside.
The human error rate is generated from a PERT distribution that includes the min, max, and mean values. These values come from a Bayesian Network comprised of organizational factors that contribute to human error, the inputs values also provide in the dataset.

本数据集为以储罐抛光工艺为仿真场景，利用Anylogic软件开展系统可靠性仿真所得的结果。该仿真场景包含三名作业人员：主管（supervisor）、技术员（technician）与操作员（operator），以及五道作业工序：步骤1：主管检查全部工具与设施；步骤2：三名工人攀爬至脚手架；步骤3：主管进行监督，技术员与操作员对储罐焊缝开展抛光作业；步骤4：三名工人爬下脚手架；步骤5：技术员与操作员对储罐内部进行清洁。
本数据集的人为失误率服从PERT分布，该分布涵盖最小值、最大值与均值参数。此类参数源自用于表征影响人为失误的组织因素的贝叶斯网络（Bayesian Network），数据集同时提供了该贝叶斯网络的输入参数值。