Multiple dependent state sampling plans for lot acceptance based on measurement data

Balamurali, S.; Jun, Chi‐Hyuck

doi:10.1016/j.ejor.2006.05.025

Cited by 172 publications

(71 citation statements)

References 10 publications

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“…We also compared the efficiency of the proposed plan over the multiple dependent state (MDS) plan proposed by Balamurali and Jun (2007) and the resubmitted sampling plan proposed by Aslam et al (2013). For comparison purposes, we consider the same values of AQL and LQL for the three sampling plans (the proposed EWMA plan λ = 0.1, the unknown sigma MDS plan with m = 2 and the resubmitted symmetric case) when α = 5% and β = 10%.…”

Section: Advantages Of the Proposed Planmentioning

confidence: 98%

“…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%

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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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Section: Advantages Of the Proposed Planmentioning

confidence: 98%

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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“…Balamurali and Jun (2007) presented a variable acceptance sampling plan using the MDS scheme and concluded that this sampling scheme is better in risk protection to the manufacturer and the consumer as compared to the conventional single and double sampling plans. studied the MDS schemes in the area of acceptance sampling plans and argued that the MDS sampling performs better than the conventional single sampling plans in terms of average sample number.…”

Section: Introductionmentioning

confidence: 99%

A Control Chart for Gamma Distribution using Multiple Dependent State Sampling

Aslam¹,

Arif²

2017

Industrial Engineering and Management Systems

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In this article, a control chart based on multiple dependent (or deferred) state sampling for the gamma distributed quality characteristic is proposed using the gamma to normal transformation. The proposed control chart has two pairs of control limits, which can be determined by considering the in-control average run length (ARL). The shift in the scale parameter of a gamma distribution is considered and the out-of-control ARL is evaluated. The performance of the proposed chart has been shown for different levels of the parameters of the proposed control chart. It is also shown that the proposed chart is better than the Shewhart chart in terms of ARLs. A case study with a real data has been included for the practical usage of the proposed scheme.

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“…The inspection efficiency in such instances can be improved by utilizing the accumulated quality history of previous lots information. The MDS sampling plans are not only based on the current lot, but also on preceding lots [27]. With the absence of autocorrelation between linear profiles, [16] provided MDS sampling plan based on yield index .…”

Section: Introductionmentioning

confidence: 99%

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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Multiple dependent state sampling plans for lot acceptance based on measurement data

Cited by 172 publications

References 10 publications

A new lot inspection procedure based on exponentially weighted moving average

A new lot inspection procedure based on exponentially weighted moving average

A Control Chart for Gamma Distribution using Multiple Dependent State Sampling

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

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