Adjustable variables multiple-dependent-state sampling plans based on a process capability index

Wang, To‐Cheng; Shu, Ming‐Hung; Hsu, Bi‐Min; Hsu, Chih-Wei

doi:10.1080/01605682.2021.2007805

Cited by 10 publications

(4 citation statements)

References 39 publications

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“…34 They provide a common and easily understood language for practitioners to quantify the process yield. 35 Suppose an in-control process with a bilateral quality characteristic, X, whose lower specification and upper specification limits are specified as (LSL, USL), follows a normality assumption with mean parameter 𝜇 and variance parameter 𝜎 2 , X ∼ N ( 𝜇, 𝜎 2 ) . To appraise the process yield, the C pk index is given as…”

Section: Overall Yield-measure Indexmentioning

confidence: 99%

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Quick‐switch inspection scheme based on the overall process capability index for modern industrial web‐based processing environment

Wang

Hsu

Shu

2022

Appl Stoch Models Bus & Ind

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Today, in Industry 4.0 and sensor‐rich environments, web‐based processing, and cloud computing have played significant roles in the quality systems designed to ensure product quality and reliability. Among quality validation technologies, variables acceptance sampling plans are essential tools in supply chain channels, where the variables quick‐switch sampling (VQSS) system is among the efficient schemes. The VQSS system comprises normal and tightened inspections that can provide a dynamic adjusting mechanism for lot disposition. Recently, the VQSS system regulated on process capability indices (PCIs) has been developed to integrate consumers' requirements into manufacturing processes. Unfortunately, the existing PCI‐based VQSS systems only consider a single, critical quality characteristic of the product. With advanced sensor technologies, cost‐efficiently measuring multiple quality characteristics (MQCs) has become a reality in today's manufacturing environments. Therefore, in this article, we emphasize developing the VQSS system with MQCs according to the overall PCI for lot disposition. By comparing the existing sampling plans, the proposed overall PCI‐based VQSS system can reduce the required sample size significantly. The results also demonstrate that the proposed system can accommodate both normal and tightened inspections' strengths to obtain a superior lot‐discrimination power. Furthermore, we have developed web‐based architecture and tools for practitioners to execute our proposed system efficiently in the cloud. They can be used to construct automation and semi‐automation applications for the lot disposition, which is appropriate in Industry 4.0 environments. Finally, a case of ultra‐mini chip resistors is illustrated to demonstrate the applicability of our designed VQSS system.

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Section: Overall Yield-measure Indexmentioning

confidence: 99%

“…In the modern industrial environment that demands a Six‐Sigma quality level, PCIs have become essential quality tools 34 . They provide a common and easily understood language for practitioners to quantify the process yield 35 …”

Section: Overall Yield‐measure Indexmentioning

confidence: 99%

Quick‐switch inspection scheme based on the overall process capability index for modern industrial web‐based processing environment

Wang

Hsu

Shu

2022

Appl Stoch Models Bus & Ind

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“…26 In recent decades, PCIs have been widely used in several areas of quality assessment and have become an indispensable tool in quality investigations. 27 More recently, Mhlongo et al 28 used PCI to measure and assess water quality characteristics and contaminants. Negash et al 29 employed a PCI to propose a method for sustainable supplier selection.…”

Section: Introductionmentioning

confidence: 99%

“…PCIs have been proposed by academia to provide numerical, unitless measures of whether production processes conform to pre‐determined unilateral or bilateral tolerances, with or without a target dimension 26 . In recent decades, PCIs have been widely used in several areas of quality assessment and have become an indispensable tool in quality investigations 27 . More recently, Mhlongo et al 28 .…”

Section: Introductionmentioning

confidence: 99%

Integrated green‐and‐quality inspection schemes for green product quality with six‐sigma yield assurance and risk management

Shu

Wang

Hsu

2023

Quality & Reliability Eng

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Due to worldwide awareness of the sustainable environment, research on green production and distribution has grown within academic and industrial communities. For an eco‐friendly environment, limiting hazardous substances (HSs) concentration in products quality assessment is one of the most crucial strategies to achieve the 4Rs of the products, namely, Reduction, Reuse, Recycle, and Recovery. Trustworthy inspection, evaluation, and validation methods to ensure multiprocess yield and risk of acquiring green product quality are desired for the industry. However, the existing methods use arbitrary inspection sizes, levels of capability, and ignore controls for both Types I and II risks. To overcome these drawbacks and pursue Six‐Sigma green capability suppliers, this study establishes a multiprocess performance chart, called the green product quality analysis chart (GPQAC), to inspect and analyze green product submissions. GPQAC implements variables sampling plans based on unilateral and bilateral process capability indices. The chart operates at given Six‐Sigma green and quality compliance and simultaneously controlled Type I and Type II risks. The required sample size and rejection and acceptance capability zones are determined from the multiprocess optimization taking into account the Bonferroni correction. This determination enables GPQAC to aggregate the overall status of a group of processes and assess the ability of the supplier processes to execute efficiently and economically relative to the customer specifications. We also establish web‐based GPQAC graphs using a cloud‐computing program for lot disposition. Finally, a real‐world case illustrates the utility of the GPQAC integrated variables sampling scheme in enhancing environmental sustainability.

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Assessing the economic-statistical performance of variable acceptance sampling plans based on loss function

Jafarian-Namin,

Fattahi,

Salmasnia

2024

Comput Stat

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Adjustable variables multiple-dependent-state sampling plans based on a process capability index

Cited by 10 publications

References 39 publications

Quick‐switch inspection scheme based on the overall process capability index for modern industrial web‐based processing environment

Quick‐switch inspection scheme based on the overall process capability index for modern industrial web‐based processing environment

Integrated green‐and‐quality inspection schemes for green product quality with six‐sigma yield assurance and risk management

Assessing the economic-statistical performance of variable acceptance sampling plans based on loss function

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