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Journal of the Operational Research Society Volume 73, 2022 - Issue 12
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Original Articles

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

To-Cheng Wanga Republic of China Air Force Academy, Kaohsiung, TaiwanORCID Iconhttps://orcid.org/0000-0001-8905-6913View further author information
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Ming-Hung Shub National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan;c Kaohsiung Medical University, Kaohsiung, TaiwanORCID Iconhttps://orcid.org/0000-0001-5866-6700View further author information
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Bi-Min Hsud Cheng Shiu University, Kaohsiung, TaiwanORCID Iconhttps://orcid.org/0000-0002-8484-5056View further author information
ORCID Icon &
Chih-Wei Hsub National Kaohsiung University of Science and Technology, Kaohsiung, TaiwanCorrespondence[email protected]
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Pages 2626-2639 | Received 08 Oct 2020, Accepted 10 Nov 2021, Published online: 02 Dec 2021

Citations (5)

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Read on this site (3)

Atefe Banihashemi, Mohammad Saber Fallah Nezhad, Amirhossein Amiri & Michael B. C. Khoo. (2023) Integrated QSS-RS plans based on the process yield index for lot acceptance determination. Communications in Statistics - Theory and Methods 52:23, pages 8584-8606.
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To-Cheng Wang & Ming-Hung Shu. (2023) Development of an adaptive sampling system based on a process capability index with flexible switching mechanism. International Journal of Production Research 61:21, pages 7233-7247.
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Chien-Wei Wu, Ming-Hung Shu & To-Cheng Wang. (2023) Designing a variables two-plan sampling system with adjustable acceptance criteria for lot disposition. Quality Engineering 0:0, pages 1-13.
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Articles from other publishers (2)

Ming‐Hung Shu, To‐Cheng Wang & Bi‐Min Hsu. (2023) Integrated green‐and‐quality inspection schemes for green product quality with six‐sigma yield assurance and risk management. Quality and Reliability Engineering International 39:7, pages 2720-2735.
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To‐Cheng Wang, Bi‐Min Hsu & Ming‐Hung Shu. (2022) Quick‐switch inspection scheme based on the overall process capability index for modern industrial web‐based processing environment. Applied Stochastic Models in Business and Industry 38:5, pages 847-861.
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