Process Quality Analysis of Products

Chen, K. S.; Chen, S. C.; Li, Rong-Kwei

doi:10.1007/s001700200068

Cited by 33 publications

(14 citation statements)

References 7 publications

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“…Hence, the smaller the measurement index M Index is, the better the service quality. By adopting the measurement proposed by Chen et al (2002), we suppose that A company demands that the measurement index M Index must be smaller than the performance of customer complaint service quality f (0 < f < 1), then the smaller the f value is, the stricter the demand for customer complaint service quality; the bigger the f value the looser the demand for customer complaint service quality. We will first describe the hypothesis for measurement as follows:…”

Section: Measurementioning

confidence: 99%

A Study on the application of 6-Sigma on the enhancement of service quality of fitness club

2011

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The service industry plays an essential role in economic globalization and a determining factor in strengthening industry's competitiveness. Targeting fitness industry, this study intends to explore ways to minimize customer complaints, understand customer expectation, and enhance service quality by applying the five steps of 6-Sigma: (1) Definition; (2) Measurement; (3) Analysis; (4) Improvement; and (5) Control, to effectively solve the root causes of customer complaints, raise customer satisfaction and minimize possible future complaints.

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Section: Measurementioning

confidence: 99%

A Study on the application of 6-Sigma on the enhancement of service quality of fitness club

2011

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“…As noted by Chen, Chen, and Li (2002), quality characteristics of many products are of unilateral specifications. The two well-known unilateral specification process capability indices C PL and C Pu , proposed by Kane (1986) , measuring larger-the-better type and smaller-the-better type process capability, are…”

Section: Introductionmentioning

confidence: 98%

Selecting a Better Supplier by Testing Unilateral Specification Process Capability IndicesC_PLandC_PU

Leu

Liao

Chen

2006

American Journal of Mathematical and Management Sciences

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SYNOPTIC ABSTRACTThe two well-known unilateral specification process capability indices C PL and CPu are popularly used for measuring the process capability of larger-the-better type or smaller-the-better type products in the manufacturing industry. The practitioners can use them to determine whether their processes meet the capability requirement and select the better supplier. Under normal assumption, Chou (1994) developed an effective procedure using estimators of C PL and C Pu for practitioners to determine whether two processes have equal capability or not. His works will be extended to the case of k processes. We take the tests of testing the equality of coefficients of variation from k populations and a new proposed test, the Modified-Bartlett's test, to determine whether k processes have equal capability or not. By Monte Carlo experiments, we have demonstrated that Modified-Bartlett's test has appropriate empirical size and has higher power than others. We also present a testing procedure that is convenient for practitioners to select the better supplier step by step.

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“…Three basic characteristics (i.e., process yield, process expected loss, and process capability indices) had been widely used in measuring process potential and performance. Among various process, capability indices C p and C pk are easily understood and could be straightforwardly applied to the manufacturing industry (Chen et al 2001(Chen et al , 2002.…”

Section: Introductionmentioning

confidence: 99%

Six-sigma application in tire-manufacturing company: a case study

et al. 2017

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Globalization, advancement of technologies, and increment in the demand of the customer change the way of doing business in the companies. To overcome these barriers, the six-sigma define-measure-analyze-improvecontrol (DMAIC) method is most popular and useful. This method helps to trim down the wastes and generating the potential ways of improvement in the process as well as service industries. In the current research, the DMAIC method was used for decreasing the process variations of bead splice causing wastage of material. This six-sigma DMAIC research was initiated by problem identification through voice of customer in the define step. The subsequent step constitutes of gathering the specification data of existing tire bead. This step was followed by the analysis and improvement steps, where the six-sigma quality tools such as cause-effect diagram, statistical process control, and substantial analysis of existing system were implemented for root cause identification and reduction in process variation. The process control charts were used for systematic observation and control the process. Utilizing DMAIC methodology, the standard deviation was decreased from 2.17 to 1.69. The process capability index (C p ) value was enhanced from 1.65 to 2.95 and the process performance capability index (C pk ) value was enhanced from 0.94 to 2.66. A DMAIC methodology was established that can play a key role for reducing defects in the tiremanufacturing process in India.

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Process Quality Analysis of Products

Cited by 33 publications

References 7 publications

A Study on the application of 6-Sigma on the enhancement of service quality of fitness club

A Study on the application of 6-Sigma on the enhancement of service quality of fitness club

Selecting a Better Supplier by Testing Unilateral Specification Process Capability IndicesC_PLandC_PU

Six-sigma application in tire-manufacturing company: a case study

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Process Quality Analysis of Products

Cited by 33 publications

References 7 publications

A Study on the application of 6-Sigma on the enhancement of service quality of fitness club

A Study on the application of 6-Sigma on the enhancement of service quality of fitness club

Selecting a Better Supplier by Testing Unilateral Specification Process Capability IndicesCPLandCPU

Six-sigma application in tire-manufacturing company: a case study

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Product

Resources

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Selecting a Better Supplier by Testing Unilateral Specification Process Capability IndicesC_PLandC_PU