Abstract
The tightened-normal-tightened sampling system (TSS) is more adaptable than the quick-switching sampling system (QSS) in the supply chain channel because its rule-switching mechanism is more flexible. However, recent studies have mainly focused on the QSS, while the TSS has rarely been discussed. Especially, based on process capability indices (PCIs), only the TSS with the sample-size-switching mechanism (TSS-I) has been introduced. A PCI-based TSS with the acceptance-criterion-switching mechanism (TSS-II) has not been proposed so far. This work developed a TSS-II based on the Taguchi capability index to validate the product quality under the process loss consideration. The proposed TSS-II alters the acceptance criterion rather than the sample size to construct a dynamic rule-switching mechanism, which is more cost-effective than the TSS-I. The performance comparison results show that the proposed TSS-II outperforms the existing TSS-I and QSSs in terms of cost-effectiveness and discriminating power. In addition, we created an open-access cloud calculator to help practitioners quickly determine the optimal system design of the proposed TSS-II, thereby significantly improving the practicality of the proposed TSS-II. Finally, we illustrate a case in the semiconductor industry to demonstrate the applicability of the proposed TSS-II.
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Abbreviations
- TSS:
-
Tightened-normal-tightened sampling system
- QSS:
-
Quick-switching sampling system
- PCIs:
-
Process capability indices
- TSS-I:
-
TSS with the sample-size-switching mechanism
- TSS-II:
-
TSS with the acceptance-criterion-switching mechanism
- ASP:
-
Acceptance sampling plan
- ASS:
-
Acceptance sampling system
- USL:
-
Upper specification limit
- LSL:
-
Lower specification limit
- OC:
-
Operating characteristic
- ASN:
-
Average sample size
- CTME:
-
Capacitive thickness measurement equipment
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Acknowledgements
The author would like to thank the Editor and two anonymous referees for their helpful comments and careful reading, which significantly improved the presentation of this paper. This work was partially supported by the National Science and Technology Council of Taiwan under grant numbers NSTC 111-2222-E-013-001.
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To-Cheng Wang: conceptualization; methodology; software; writing—original draft; visualization; investigation; writing—review and editing.
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Wang, TC. Developing an adaptive sampling system indexed by Taguchi capability with acceptance-criterion-switching mechanism. Int J Adv Manuf Technol 122, 2329–2342 (2022). https://doi.org/10.1007/s00170-022-09996-2
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DOI: https://doi.org/10.1007/s00170-022-09996-2