Developing one-sided specification six-sigma fuzzy quality index and testing model to measure the process performance of fuzzy information

College

Gokongwei College of Engineering

Department/Unit

Industrial Engineering

Document Type

Article

Source Title

International Journal of Production Economics

Volume

208

First Page

560

Last Page

565

Publication Date

2-1-2019

Abstract

Depending on the quality characteristic, a process capability index (PCI) can be used for one-sided specifications or for bilateral specifications. A number of researchers have investigated the statistical properties of one-sided specification indices and proposed methods for applications. The later introduction of the Six Sigma approach also assisted many firms in effectively enhancing their production capacities, reducing waste, and increasing effectiveness. Chen et al. (2017a) modified the PCI for one-sided specifications and proposed the Six Sigma Quality Index (SSQI), which coincidently equals the quality level and has a one-to-one relationship with yield. However, uncertainty in quality characteristic measurements is common in practice, which can lead to judgment errors in conventional process capability assessment methods. This study therefore developed an SSQI for one-sided specifications based on the fuzzy testing method created by Buckley (2005) and developed a Six Sigma fuzzy evaluation index and testing model. In addition to having a simpler calculation procedure, the model takes the process capability and Six Sigma quality level into consideration and can process the uncertainties in the data to make it more convenient for the industry to solve engineering issues. Finally, we presented a practical example to demonstrate the applications. The model proposed in this study can provide the industry with a practical approach to assess process quality in a fuzzy environment. © 2019 Elsevier B.V.

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Digitial Object Identifier (DOI)

10.1016/j.ijpe.2018.12.025

Disciplines

Industrial Engineering

Keywords

Six sigma (Quality control standard); Process control

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