A Novel Lot Sentencing Method by Variables Inspection Considering Multiple Dependent State

Wu, Chien‐Wei; Lee, Amy H. I.; Chen, Yen‐Wen

doi:10.1002/qre.1808

Cited by 32 publications

(6 citation statements)

References 31 publications

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“…Recently, variables MDS sampling plans based on the capability index C pk for normally distributed characteristics with bilateral specification limits have been developed by Aslam, Azam, and Jun (2013) and Wu, Lee, and Chen (2015). The C pk index measures the 'progress' of quality improvement paradigms in which variability reduction is the guiding principle and process yield is the primary measure of success (Wu, Pearn, and Kotz 2009).…”

Section: Introductionmentioning

confidence: 99%

A lots-dependent variables sampling plan considering supplier’s process loss and buyer’s stipulated specifications requirement

Wang

Shu

2015

International Journal of Production Research

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A well-established scheme and mechanism for deciding product acceptance is perceived as a win-win situation for the long-term supplier-buyer relationship. In this paper, we develop a lots-dependent variables sampling scheme for product acceptance determination. The dependent state is based on the sample information of the process capability index that incorporates the supplier's process loss and the buyer's demanded specifications requirement. This main scheme is implemented by a three-rule process that accepts or rejects a related lot conditional on the sample results of past lots. The plan-operational parameters satisfying the desired quality levels and constraining the supplier-buyer risks are determined by a non-linear optimisation model. In performance comparisons, our proposed plan demonstrated higher cost effectiveness and discriminatory power than the traditional variables single sampling plan. Finally, industrial applicability of our recommended sampling plans was investigated in a case study.

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Section: Introductionmentioning

confidence: 99%

A lots-dependent variables sampling plan considering supplier’s process loss and buyer’s stipulated specifications requirement

Wang

Shu

2015

International Journal of Production Research

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“…Process capability indices (PCIs) are used to measure and evaluate the quality of processes and products. In recent years, many scholars have developed numerous variables sampling plans based on various PCIs for different scenarios, such as Wu, 5 Wu et al, 6 Seifi and Nezhad, 7 Wu et al, 8 Lee et al, 9 Wu and Liu, 10 Wang and Wu, 11 Arizono et al, 12 Wu et al 13 and Wang et al. 14 Many popular PCIs, such as 𝐶 𝑝 , 𝐶 𝑝𝑘 , 𝐶 𝑝𝑚 , and 𝐶 𝑝𝑚𝑘 , are based on the following assumptions: (i) the process must be stable and not easily altered due to any factors.…”

Section: Introductionmentioning

confidence: 99%

A repetitive group sampling plan based on the lifetime performance index under gamma distribution

Lee

Liu

2022

Quality & Reliability Eng

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As technology and living standards improve, people are becoming more concerned with the importance of quality. Quality, thus, becomes the key to company competitiveness, and process capability indices (PCIs) are effective means of measuring process performance. Most PCIs have been developed under the assumption that the quality characteristics are normally distributed; however, the lifetime of products generally possesses a non‐normal distribution. A lifetime performance index (LPI) CL has been proposed and used for measuring product lifetime performance. In this high‐quality era, the use of traditional testing methods incurs very high costs, so acceptance sampling plans have been widely used by industry to perform the inspection. This study considers the product lifetime with a gamma distribution and uses the uniformly minimum‐variance unbiased estimator (UMVUE) of the LPI to develop a repetitive group sampling plan (RGSP). For the practical purpose, this study presents a step‐by‐step procedure and tabulates the plan parameters for various combinations of acceptable and rejectable quality levels, producer's and consumer's risks, and shape parameter. Thus, practitioners can easily know the sample size and the corresponding critical values for decision making. This study also uses the results of the proposed plan to compare with the single sampling plan. Lastly, a practical example is used to illustrate how to apply this acceptance sampling plan.

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“…In recent studies, variables MDS plans have been constructed based on some process capability indices (PCIs). Wu et al 11 proposed the variables MDS plans based on the commonly used PCI C pk . Wu et al 12 introduced the variables MDS plans based on the sample information of the PCI C pm , which incorporates the producer's process loss and the consumer's demanded specification requirements.…”

Section: Introductionmentioning

confidence: 99%

Process‐capability‐qualified adjustable multiple‐dependent‐state sampling plan for a long‐term supplier–buyer relationship

Wang

Hsu

et al. 2020

Quality & Reliability Eng

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Acceptance sampling plan is widely used for the inspections of incoming or outgoing products to provide the producer and the consumer a general benchmark for lot sentencing. To reduce the inspection cost, the multiple‐dependent‐state (MDS) plan that takes account of the preceding lots' quality history into the current lot disposition has been proposed. However, recent studies overlook the fact that the MDS plan's performance needed to reach target compliance decreases with an increase in the number of preceding lots considered. This unawareness makes the MDS plan fall into a conflictive situation. To overcome the drawback of the MDS plan, in this paper, we introduce a modified MDS plan to accommodate an adjustable mechanism, called adjustable MDS (AMDS) sampling plans. The presented AMDS plans are designed on the basis of the advanced process capability index, which is cognizant of both the process yield and the process loss. This established process‐capability‐qualified AMDS plan efficiently solves the conflictive situation of the MDS plan when encompassing more preceding lots in the lot‐disposition decision. Notably, its efficacy has been shown on high improvements in terms of the required sample size for the inspection, the discriminatory power, and the average run length for lot sentencing.

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A Novel Lot Sentencing Method by Variables Inspection Considering Multiple Dependent State

Cited by 32 publications

References 31 publications

A lots-dependent variables sampling plan considering supplier’s process loss and buyer’s stipulated specifications requirement

A lots-dependent variables sampling plan considering supplier’s process loss and buyer’s stipulated specifications requirement

A repetitive group sampling plan based on the lifetime performance index under gamma distribution

Process‐capability‐qualified adjustable multiple‐dependent‐state sampling plan for a long‐term supplier–buyer relationship

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