Exact calculation of the Dodge-Romig LTPD single sampling plans for inspection by variables

Klůfa, Jindřich

doi:10.1007/s00362-008-0160-1

Cited by 17 publications

(7 citation statements)

References 2 publications

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“…The exact plans, using the non-central t distribution in calculation of the operating characteristic Johnson and Welch (1940), have been reported in Klufa (2010) and Kaspříková (2011) -the LTPDvar is an add-on package to the R software (R Development Core Team 2008). Similar problems are solved in Klufa (1997Klufa ( , 2008, Chen and Chou (2001), Kaspříková andKlufa (2011), Wilrich (2012), Aslam et al (2015).…”

Section: Doi: 1017221/186/2014-agriceconmentioning

confidence: 99%

Economic aspects of the LTPD single sampling inspection plans

Klůfa¹

2015

AGR ECON-CZECH

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Th e paper deals with the LTPD (Lot Tolerance Percent Defective) single sampling plans when the remainder of rejected lots is inspected. Th ere are considered two types of the LTPD plans -for inspection by variables and for inspection by variables and attributes (all items from the sample are inspected by variables; the remainder of rejected lots is inspected by attributes). Th ese plans were created by the author of this paper and published in the Statistical Papers. Th ese new plans were compared with the corresponding Dodge-Romig LTPD plans for the inspection by attributes from the economic point of view. From the results of the numerical investigations, it follows that under the same protection of consumer the LTPD plans for the inspection by variables are in many situations more economical than the corresponding Dodge-Romig attribute sampling plans (saving of the inspection cost is 80% in any cases). Th e dependence of the saving of the inspection cost on the acceptance sampling characteristics is analyzed in the paper.

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Section: Doi: 1017221/186/2014-agriceconmentioning

confidence: 99%

Economic aspects of the LTPD single sampling inspection plans

Klůfa¹

2015

AGR ECON-CZECH

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“…Attribute plans are easy to implement while variable plans are more informative than attribute sampling plans. More details about variable plans can be seen in Collani (1990), Seidel (1997), Govindaraju and Kuralmani (1992), Govindaraju and Balamurali (1998), Balamurali and Jun (2006), Balamurali and Jun (2007), Tsai and Lin (2010), Klufa (2010), Vangjeli (2012), Aslam, Huang, Jun, Ahmad, and Rasool (2011), Aslam et al (2012), Wang and Tsai (2012) and Aslam, Wu, Azam, and Jun (2013).…”

Section: Introductionmentioning

confidence: 99%

A new lot inspection procedure based on exponentially weighted moving average

Aslam

Azam

2013

International Journal of Systems Science

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In this manuscript a new variable sampling plan based on the exponentially weighted moving average (EWMA) statistic is proposed assuming that the quality characteristic follows the normal distribution. The plans are proposed when the standard deviation of the normal distribution is known or unknown. The plan parameters for both cases are determined such that the given producer's risk and consumer's risk are satisfied. The proposed plan includes the ordinary variable single sampling plan as a special case and its advantage over the single sampling plan is discussed in terms of the sample size. Extensive tables are provided for industrial use.

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“…The MDS sampling plan is not only based on current lot, but also based on proceeding lots. In addition, mixed sampling plans developed by Dodge in 1932 have been extended by many researchers …”

Section: Introductionmentioning

confidence: 99%

A Single Sampling Plan Based on Exponentially Weighted Moving Average Model for Linear Profiles

Wang

2015

Qual. Reliab. Engng. Int.

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The exponentially weighted moving average (EWMA) model has been successfully used in acceptance sampling plans. The EWMA model provides the quality information of the current lot and the preceding lots. In addition, a multiple dependent state (MDS) sampling plan considers the quality information of the preceding lots. In this study, we present two new sampling plans for linear profiles. One is based on EWMA model with yield index using the single sampling plan, and the other is based on EWMA model with yield index using the MDS sampling plans. The plan parameters are determined by a nonlinear optimization approach. As the smoothing parameter value equals to one, the first proposed plan becomes the traditional single sampling plan. In addition, we compare the proposed plans with the traditional single sampling plan. The results indicate that the MDS sampling plan based on EWMA model with yield index with smaller value of smoothing parameter performs better than the traditional single sampling plan and the single sampling plan based on EWMA model with yield index in terms of the sample size required. One real example is used to illustrate the proposed plan. Copyright

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Exact calculation of the Dodge-Romig LTPD single sampling plans for inspection by variables

Abstract: Acceptance sampling, LTPD plans, Inspection by variables, Software Mathematica,

Cited by 17 publications

References 2 publications

Economic aspects of the LTPD single sampling inspection plans

Economic aspects of the LTPD single sampling inspection plans

A new lot inspection procedure based on exponentially weighted moving average

A Single Sampling Plan Based on Exponentially Weighted Moving Average Model for Linear Profiles

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