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Developing a multi-attribute decision aid model for selection of a weather radar supplier

机译:为选择天气雷达供应商开发多属性决策辅助模型

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Selecting a supplier for highly technical and expensive equipment as a weather radar is a very demanding process and a critical management task for procurement team. For such problems, the use of multiple criteria analysis is welcome. This paper introduces a decision aid model for weather radar supplier selection using a multi-attribute approach for public purchase procedures. As a model application, we developed the framework on a real public procurement to expand the weather radar network in Brazil, where two attributes were in conflict (cost and technical). The proposed model was demonstrated to be very useful in understanding the trade-off between cost and technical attributes, based on the stakeholders' preferences. The model also supported the decision-maker in the negotiation process to receive better commercial or technical proposals from the buyers' perspective. Based on these findings, it is advocated that for highly specialised equipment, a single attribute method centred on the lowest-cost bid is no longer supportive and robust enough in contemporary supplier selection. Modelling a multi-attribute decision process could also be a guide to improve interaction with expert and management teams in future weather radar selection evaluations.
机译:选择高度技术和昂贵的设备供应商作为天气雷达是一个非常苛刻的过程和采购团队的关键管理任务。对于此类问题,欢迎使用多种标准分析。本文介绍了使用多属性方法进行公共采购程序的天气雷达供应商选择的决策辅助模型。作为模型应用,我们开发了一个真正的公共采购的框架,以扩展巴西的天气雷达网络,其中两个属性发生冲突(成本和技术)。拟议的模型被证明是在理解成本和技术属性之间的权衡时非常有用,基于利益相关者的偏好。该模型还支持谈判过程中的决策者,以获得来自买方的观点的更好的商业或技术提案。基于这些调查结果,主张旨在为高度专业化的设备,以最低价格出价为中心的单个属性方法在当代供应商选择中不再支持且强大。建模多属性决策过程也可以是将未来的天气雷达选择评估中改进与专家和管理团队互动的指南。

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