基于改进模糊物元模型的设备重要度评价新方法  

New approach of criticality analysis of equipment based on improved fuzzy matter-element model

作　　者：吕锋[1,2] 杨印生[1] 郭长青[3] 

机构地区：[1]吉林大学工程仿生教育部重点实验室,长春130022 [2]河南科技大学机电工程学院,洛阳471023 [3]吉林大学管理学院,长春130022

出　　处：《吉林大学学报（工学版）》2014年第1期111-116,共6页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家自然科学基金项目(71071069);国防技术基础项目(Z132011A003);河南省科技攻关项目(102102210487)

摘　　要：针对设备重要度概念的模糊性和评价指标的多样性特点,以及均一评价方法对不同的评价对象采用相同的权重分配,不能体现评价最优性的不足,提出了一种基于欧氏贴近度的改进模糊物元模型的设备重要度评价新方法。该方法依据Pareto原则,综合向量余弦的灰关联和DEA确定指标权重,采用模糊物元模型计算各设备的重要度,对设备重要程度进行评价与排序,并以某农机企业生产线的7台设备进行实证研究。结果表明,该方法避免了由于主观判断而导致权重的不确定性,提高了方案之间的可区分性,比传统方法更具优势。The concept of equipment criticality has the characteristics of fuzziness and diversity of evaluation index. Uniform evaluation method uses the same weight assignment for different evaluation objects, which does not reflect the optimality of evaluation. To overcome this problem, a new method for equipment criticality evaluation is put forward based on fuzzy matter-element analysis, combing with the concept of Euclid approach degree. The method integrates grey relation analysis based on the cosine distance and data envelopment analysis in a unified way to determine the index weight according to Pareto rule. The fuzzy matter-element model is applied to compute the equipment criticality, thus the grade classification of equipment criticality is obtained. Then, as a case study, experiment on seven equipments in a production line of an agro-machinery enterprise is carried out. The results show that the method can avoid the uncertainty in estimating the weights subjectively, increase the basic discrimination in the evaluation, so it outperforms the available traditional methods.

关 键 词：工业工程学 设备重要度 模糊物元 灰关联分析 DEA 

分 类 号：N945.16[自然科学总论—系统科学]