Dodge-roming AOQL plans for inspection by variables from numerical point of view

Klůfa, Jindřich

doi:10.1007/s00362-006-0369-9

Cited by 10 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: 71%

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: 71%

Economic aspects of the LTPD single sampling inspection plans

Klůfa¹

2015

AGR ECON-CZECH

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“…For the given parameters N = 500, p L = 0.500, p = 0.002, we shall compute the AOQL plan for the inspection by variables Klufa (2008) n = 38, k = 2.2967…”

Section: Original Papermentioning

confidence: 99%

“…The exact calculation of these plans, when the non-central t distribution is used for the operating characteristic L is considerably difficult. This problem was solved in Klufa (2008), the exact solution is in Kaspříková (2012) -LTPDvar is an add-on package to the R software (see R Development Core Team 2011). Similar problems are solved in Chen and Chou (2001), Kaspříková and Klufa (2015), Wilrich (2012), Ho et al (2012), Yen et al (2014), Klufa (2015), Aslam et al (2015), Wang and Lo (2015), Balamurali et al (2014).…”

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confidence: 99%

Economic efficiency of the AOQL single sampling plans for the inspection by variables

Klůfa¹

2016

AGR ECON-CZECH

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Th e paper refers to the AOQL (Average Outgoing Quality Limit) single sampling plans when the remainder of the rejected lots is inspected. Th ese rectifying AOQL plans for inspection by variables 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 AOQL plans for inspection by attributes from the economic point of view. Numerical investigations confi rm that under the same protection of consumer, the AOQL plans for inspection by variables are in many situations more economical than the corresponding Dodge-Romig AOQL attribute sampling plans. Th e dependence of the saving of the inspection cost on the input parameters of acceptance sampling (the average outgoing quality limit, the lot size and the process average proportion defective) is analysed in the paper. Moreover, a criterion for deciding if the inspection by variables should be considered instead of the inspection by attributes is suggested in the paper.

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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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Dodge-roming AOQL plans for inspection by variables from numerical point of view

Cited by 10 publications

References 2 publications

Economic aspects of the LTPD single sampling inspection plans

Economic aspects of the LTPD single sampling inspection plans

Economic efficiency of the AOQL single sampling plans for the inspection by variables

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

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