A new lot inspection procedure based on exponentially weighted moving average

Aslam, Muhammad; Azam, Muhammad

doi:10.1080/00207721.2013.822128

Cited by 25 publications

(35 citation statements)

References 17 publications

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“…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: 78%

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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confidence: 78%

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

Klůfa¹

2016

AGR ECON-CZECH

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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: 91%

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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“…For a process with linear profiles, [16] provided a single variable sampling plan based on EWMA model using the yield index . In the literature Aslam et al [15] and Wang [16] suggested that a sampling plan based on EWMA yield index for a normal process and a process with linear profiles has more flexibility and economy than the single sampling plan based on yield index while providing the same protection to both suppliers and buyers. More information about EWMA sampling plan can be found in [17].…”

Section: Introductionmentioning

confidence: 99%

“…It must be remembered, however, that the superiority of the variables plan rests on the assumption of the underlying distribution of the measurements [6]. Whether the performance measure is single quality characteristic [7][8][9][10]15] or profile data [16,21] sampling schemes in the literature share two basic assumptions: the quality characteristic follows a normal distribution and data is independent. However, in some manufacturing processes, data is correlated or self-dependent.…”

Section: Introductionmentioning

confidence: 99%

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Sampling Schemes by Variables Inspection for the First-Order Autoregressive Model between Linear Profiles

Tamirat

Wang

Chen³

2017

Mathematical Problems in Engineering

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We present four new sampling schemes by variables inspection to deal with the first-order autoregressive model between linear profiles. The first plan is based on exponentially weighted moving average (EWMA) and the rest of three plans are using the resubmitted sampling, repetitive group sampling (RGS), and multiple dependent state (MDS) sampling schemes. The nonlinear optimization problem is developed to find the number of profiles and the corresponding acceptance criteria, such that the producer's and consumer's risk are satisfied simultaneously. The efficiency of the proposed plans is compared with the conventional single sampling plan in terms of average sample number and the probability of acceptance. The result implies that all of the proposed sampling plans are superior to the single acceptance sampling plan by variables. In addition, the EWMA method appeared to be better than the others. The applications of proposed plans are shown with the help of industrial examples taken from calibration of an optical imaging system, and tire cornering stiffness test.

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A new lot inspection procedure based on exponentially weighted moving average

Cited by 25 publications

References 17 publications

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

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

Economic aspects of the LTPD single sampling inspection plans

Sampling Schemes by Variables Inspection for the First-Order Autoregressive Model between Linear Profiles

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