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Application of the chosen multi-criteria decision-making methods to identify the autonomous train system supplier

机译:应用所选的多标准决策方法来识别自动列车系统供应商

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This paper addresses an application of the specific methods of multi-criteria decision analysis to specify the appropriate supplier of an autonomous train in a certain production–distribution company. This company identifies three potential suppliers dealing with the development and purchase of autonomous train systems. In terms of the multi-criteria decision analysis, the WSA method, the Scoring method and the TOPSIS method were used to define a suitable compromise solution. To apply each method, individual suppliers were sorted depending on the appropriateness for the examined company based on relevance with all the identified criteria and their weights. The evaluation criteria include procurement cost, time of the whole autonomous train system project implementation, references from plants where such a technology has already been introduced, service department availability and battery charge time. Thereafter, the outcomes obtained using individual methods were compared to each other and the compromise supplier of the autonomous train system to be implemented in the selected company was determined.
机译:本文涉及多标准决策分析的特定方法的应用,以指定一家生产分销公司的自主列车的适当供应商。这家公司识别三种潜在的供应商,处理自主列车系统的开发和购买。就多标准决策分析而言,使用WSA方法,评分方法和TOPSIS方法来定义合适的折衷溶液。为了应用每种方法,根据与所有已识别的标准及其重量的相关性,根据审查公司的适当性进行分类。评估标准包括采购成本,整个自主列车系统的时间项目实施,来自这样一种技术已经引入的工厂的参考,服务部门可用性和电池充电时间。此后,使用各个方法获得的结果彼此进行比较,并确定了在所选公司中实施的自主列车系统的折衷供应商。

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