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Multi-criteria decision model for selecting repair contracts by applying utility theory and variable interdependent parameters

机译:应用效用理论和变量相互依赖参数选择维修合同的多准则决策模型

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摘要

The selection of contracts is a very important stage for the process of outsourcing maintenance in the current trend towards reducing costs and increasing competitiveness by focussing on core competences. The prominence of this theme can be seen in many studies carried out on outsourcing repair and maintenance contracts, most of which deal with qualitative aspects. However, quantitative approaches, such as multi-criteria decision aid, play an important role in helping decision makers (DMs) to deal with multiple and conflicting criteria and uncertainties in the selection process for outsourcing contracts. In this context, several decision models have been developed using different multi-criteria methods. This paper presents a multi-criteria methodology to support the selection of repair contracts in a context where information is imprecise, when DMs are not able to assign precise values to importance parameters of the criteria used for contract selection. Utility functions are integrated with the variable interdependent parameters method to evaluate alternatives through an additive value function regarding mean time to repair, contract cost, the geographical spread of the candidate's (bidder's) service network, the candidate's reputation and the compatibility of company cultures. To illustrate the use of the model, a numerical application is presented.
机译:在当前通过专注于核心能力来降低成本和提高竞争力的趋势中,合同的选择是外包维护过程中非常重要的阶段。在有关维修和保养合同外包的许多研究中可以看到这一主题的突出之处,其中大多数研究涉及定性方面。但是,诸如多准则决策辅助之类的定量方法在帮助决策者(DM)处理外包合同选择过程中的多种冲突标准和不确定性方面起着重要作用。在这种情况下,已经使用不同的多准则方法开发了几种决策模型。当DM无法为合同选择标准的重要性参数分配精确值时,本文提出了一种多标准方法,可在信息不精确的情况下支持维修合同的选择。效用函数与变量相互依赖的参数方法集成在一起,通过附加值函数评估备选方案,这些函数涉及平均维修时间,合同成本,候选人(投标人)服务网络的地理分布,候选人的声誉和公司文化的兼容性。为了说明模型的使用,提出了一个数值应用程序。

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