An efficient DEA method for ranking woven fabric defects in textile manufacturing

作者：Saeidi Reza G; Amin Gholam R^*; Raissi Sadigh; Gattoufi Said

来源：International Journal of Advanced Manufacturing Technology, 2013, 68(1-4): 349-354.

DOI：10.1007/s00170-013-4732-4

• Data envelopmentanalysis (DEA)
• Woven fabric defects (WFDs)
• Ranking
• Six Sigma project definition
• Non-normal quality specification
• Quality specification priority

This paper deals with the problem of ranking woven fabric defects (WFDs) observed in textile manufacturing using a data envelopment analysis (DEA) method. The paper shows that the optimal solutions of DEA models for decision-making units (DMUs) with multiple inputs can be found without the need of solving the corresponding models. The paper performs a mean-variance analysis for determining the most important statistical factors of WFDs in terms of multiple inputs. The paper also ranks the observed WFDs from the worst preferred using the suggested DEA formulation. The contribution of this study can be explained as follows. It introduces a new application for DEA method in textile manufacturing for ranking fabric defects. This is significant in defining rich project in reducing defects through prioritizing of quality specification of fabric defects by Six Sigma experts. Also, the result of this paper can be obtained using an efficient DEA method without the need of solving the corresponding DEA models for any sample size of fabric defects.

• 出版日期2013-9