Designing a variables two-plan sampling system of type TNTVSS-(nT, nN; k) for controlling process fraction nonconforming with unilateral specification limit
Nani Kurniati,
Ruey-Huei Yeh and
Chien-Wei Wu
International Journal of Production Research, 2015, vol. 53, issue 7, 2011-2025
Abstract:
This paper proposes a variables two-plan sampling system involving normal and tightened inspections, denoted as TNTVSS-(nT,nN;k)$ (n_{\text{T}}, \, n_{\text{N}}; \, k) $, for controlling process fraction nonconforming with a unilateral specification limit based on one-sided capability indices. The system utilises two single variables sampling plans with different sample sizes (nT,nN)$ (n_{\text{T}} , \, n_{\text{N}} ) $ and the same critical acceptance value k$ k $, where nT$ n_{\text{T}} $ and nN$ n_N $ are sample sizes required for tightened inspection and normal inspection, respectively. The tightened inspection plan is used when the quality deteriorates and the normal inspection plan is used when the quality is found to be good. The operating characteristic (OC) function of the proposed sampling system is developed based on the exact sampling distribution. The plan parameters under various settings are determined by solving two non-linear equations simultaneously, which satisfy the required quality levels and allowable risks given by the producer and the consumer. The behaviour of the proposed sampling system in terms of the OC curve and the average sample number are also examined, discussed and compared with the traditional single variables sampling plan.
Date: 2015
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2014.946159 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tprsxx:v:53:y:2015:i:7:p:2011-2025
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20
DOI: 10.1080/00207543.2014.946159
Access Statistics for this article
International Journal of Production Research is currently edited by Professor A. Dolgui
More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().