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首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >A multicriteria decision model to support the selection of suppliers of motor repair services
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A multicriteria decision model to support the selection of suppliers of motor repair services

机译:支持汽车维修服务供应商选择的多准则决策模型

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摘要

Electric power consumption by sanitation companies represents the second largest operating cost item, which can be explained by the many electric motors that operate in their facilities. An electric motor is an electric device that is capable of transforming electrical energy to mechanical energy. These devices are responsible for more than 80 % of all electricity consumed in the world. Because they are machines, they can fail, and consequently, repairs are needed. Many companies choose to outsource the repair service of broken electric motors, and most capital cities have many suppliers. Selecting or classifying these suppliers into groups to fulfill strategic goals is a significant challenge. This paper presents a model to classify businesses that provide electric motor repair services. This model can be used to pre-qualify suppliers. To this end, the PROMSORT multicriteria classification method was applied to classify suppliers in a non-compensatory way according to the evaluation criteria. The applied method enabled the classification of the evaluated companies in four groups based on attributes related to their facilities, their professionals, and their experience. The results showed that the model is effective for this application and it can be applied in other contexts also related to classification problem.
机译:卫生公司的电力消耗是第二大运营成本项目,这可以用其设施中运行的许多电动机来解释。电动机是一种能够将电能转换为机械能的电气设备。这些设备占全球所有电量消耗的80%以上。因为它们是机器,所以它们可能会发生故障,因此需要维修。许多公司选择将损坏的电动机的维修服务外包,而且大多数省会城市都有许多供应商。选择或分类这些供应商以实现战略目标是一个巨大的挑战。本文提出了一个模型,对提供电动机维修服务的企业进行分类。该模型可用于对供应商进行资格预审。为此,采用了PROMSORT多标准分类方法,根据评估标准以非补偿方式对供应商进行分类。应用的方法可以根据与设施,专业人员和经验相关的属性将被评估的公司分为四类。结果表明该模型对于该应用是有效的,并且可以在与分类问题有关的其他环境中应用。

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