论文标题

基于神经网络的生产系统中的人类可靠性分析方法

Neural network based human reliability analysis method in production systems

论文作者

Jamshidi, Rasoul, Sadeghi, Mohammad Ebrahim

论文摘要

目的:除了在创造经济安全和投资开发方面发挥重要作用外,保险公司还投资。该国作为该国金融机构之一的保险业在投资过程中占有特殊的位置,并且对保险行业领域适当的投资政策的特殊关注至关重要。因此,该行业在分配现有预算方面的效率刺激了其他经济部门。这项研究旨在模拟对保险公司动态网络绩效的投资。 方法论:在本文中,一种新的投资模型旨在检查伊朗保险公司的动态网络绩效。使用GAMS软件实现了设计的模型,并根据回归方法对模型的输出进行分析。所需的信息已根据伊朗在1393年至1398年之间的保险公司的统计数据收集。 调查结果:在评估了这些单位后,在评估的15家公司中,有6家公司具有单位绩效,并被引入了高效公司。保险公司的平均效率为0.78,标准偏差为0.2。结果表明,投资价值的增加是由于成本的大幅下降,并且在公司的资本和净利润方面是一个很大的数量,对保险公司具有明显而强大的潜力。 独创性/价值:在本文中,进行投资建模是为了检查伊朗保险公司动态网络的性能。

Purpose: In addition to playing an important role in creating economic security and investment development, insurance companies also invest. The country's insurance industry as one of the country's financial institutions has a special place in the investment process and special attention to appropriate investment policies in the field of insurance industry is essential. So that the efficiency of this industry in allocating the existing budget stimulates other economic sectors. This study seeks to model investment in the performance of dynamic networks of insurance companies. Methodology: In this paper, a new investment model is designed to examine the dynamic network performance of insurance companies in Iran. The designed model is implemented using GAMS software and the outputs of the model are analyzed based on regression method. The required information has been collected based on the statistics of insurance companies in Iran between 1393 and 1398. Findings: After evaluating these units, out of 15 companies evaluated, 6 companies had unit performance and were introduced as efficient companies. The average efficiency of insurance companies is 0.78 and the standard deviation is 0.2. The results show that the increase in the value of investments is due to the large reduction in costs and in terms of capital and net profit of companies is a large number that has a clear and strong potential for insurance companies. Originality/Value: In this paper, investment modeling is performed to examine the performance of dynamic networks of insurance companies in Iran.

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