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Research on decision support for six sigma project selection based on fuzzy evaluation

机译:基于模糊评价的六西格玛项目选择决策支持研究

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摘要

To deal with subjective artificial and uncertain factor problem of Six Sigma projects selection, fuzzy synthetic evaluation method on project selection referring to the characteristics of Six Sigma projects selection was presented. Firstly, in order to provide a better reference for decision-makers, a evaluation index set of Six Sigma project selection has been set down; Secondly, Taking the five grades of index set as a standard, the experts scoring method is used to confirm the membership of appraisement index for every grade, which can help us to establish a membership matrix; Thirdly, the relatively important degree of level 1 index and level 2 index in the evaluation index set is obtained, and the weight set of evaluation index of all level is founded; Fourthly, the fuzzy synthetic evaluation matrix of first level and second level of spare projects are established by using the membership matrix and the weigh set of index; Lastly, The projects are arranged by the first level fuzzy evaluation matrix, in order to determine the project which should be firstly implemented by enterprise. The fuzzy evaluation method reduces subjective and artificial as well as the indeterminate factors' impact in selection of project, greatly improves the accuracy for enterprise selecting project, which makes the enterprise obtain the greatest success and benefit through the implement of the most appropriate project.
机译:为了应对六西格玛项目选择的主观人工和不确定因素问题,提出了对六西格玛项目选择特征的模糊综合评价方法。首先,为了为决策者提供更好的参考,已经预订了六西格玛项目选择的评估指标集;其次,将五等级的指数设为标准,专家评分方法用于确认每一年级的评估指数成员资格,这可以帮助我们建立会员矩阵;第三,获得了评估指数集中的相对重要程度的1级指数和级别2指标,并建立了所有级别的评估指数的重量集;第四,利用隶属矩阵和重量指数建立了第一级和第二级备用项目的模糊综合评价矩阵;最后,项目由第一级模糊评估矩阵排列,以确定应由企业首先实施的项目。模糊评估方法减少了主观和人工,以及对项目选择的不确定性因素的影响,大大提高了企业选择项目的准确性,使企业通过实施最合适的项目获得最大的成功和利益。

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