吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (01): 111-116.doi: 10.13229/j.cnki.jdxbgxb201401020

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

LYU Feng1,2, YANG Yin-sheng1, GUO Chang-qing3   

  1. 1. Key Laboratory of Bionic Engineering Ministry of Education, China, Jilin University, Changchun 130022, China;
    2. School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang 471023, China;
    3. School of Management, Jilin University, Changchun 130022, China
  • Received:2012-12-20 Online:2014-01-01 Published:2014-01-01

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Abstract:

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.

Key words: industrial engineering, equipment criticality, fuzzy matter-element, grey relation analysis, DEA

CLC Number: 

  • N945.16

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