Sampling inspection for resubmitted lots

Govindaraju, K.; Gànesalingam, S.

doi:10.1080/03610919708813433

Cited by 78 publications

(44 citation statements)

References 3 publications

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“…Therefore, the proposed sampling plan for resubmitted lots can be considered as a more general form of a single-stage sampling plan. The ASN of the developed sampling plan for a given Downloaded by [University of California Santa Barbara] at 22:08 16 June 2016 quality level (b) is determined as follows [14]:…”

Section: Designing the Variable Sampling Plan For A Resubmitted Lotmentioning

confidence: 99%

“…A new sampling plan for resubmitted lots was introduced by Govindaraju and Ganesalingam. [14] A variable sampling inspection for resubmitted lots based on PCI was developed by Aslam et al, [15] for normally distributed items with unknown mean and variance and the optimal parameters were determined by minimizing the average sample number (ASN). Also, Sherman [16] proposed a new type of sampling plan for the inspection of attributes' quality characteristics called the RGS plan.…”

Section: Introductionmentioning

confidence: 99%

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Repetitive group sampling plan based on the process capability index for the lot acceptance problem

Nezhad

Seifi

2016

Journal of Statistical Computation and Simulation

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An acceptance sampling plan is a method used to make a decision about acceptance or rejection of a product, based on adherence to a standard. Meanwhile, process capability indices (PCIs) have been applied in different manufacturing industries as capability measures based on specified criteria which include process departure from a target, process consistency, process yield and process loss. In this paper, a repetitive group sampling (RGS) plan based on PCI is introduced for variables' inspection. First, the optimal parameters of the developed RGS plan are obtained considering constraints related to the risk of consumers and producers and also a double sampling plan, a multiple dependent state sampling plan and a sampling plan for resubmitted lots have been designed. Finally, after the development of variable sampling plans based on the Bayesian and exact approach, a comparison study has been performed between the developed RGS plan and other types of sampling plans and the results are elaborated. ARTICLE HISTORY

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Section: Designing the Variable Sampling Plan For A Resubmitted Lotmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Repetitive group sampling plan based on the process capability index for the lot acceptance problem

Nezhad

Seifi

2016

Journal of Statistical Computation and Simulation

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“…This article attempts to develop a new variables sampling scheme for the application of resubmitted lots when the quality characteristic follows a normal distribution. Govindaraju and Ganesalingam (1997) have proposed an attribute sampling plan that can be applied in situations where resampling is permitted on lots not accepted on original inspection. They have derived the performance measures of the resampling scheme having single sampling attributes plan as the reference plan.…”

Section: Introductionmentioning

confidence: 99%

Optimal Designing of Variables Sampling Plan for Resubmitted Lots

Balamurali

Usha

2014

Communications in Statistics - Simulation and Computation

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This article proposes a variables sampling plan that can be applied for sampling inspection of resubmitted lots when the quality characteristic of interest follows the normal distribution. Resubmission of lots for inspection is allowed in some situationswhere the original inspection results are suspected or when the supplier or producer is allowed to opt for resampling as per the provisions of the contract, etc. The advantages of this proposed variables sampling plan over the existing single sampling variables plan are discussed. Tables are also constructed for the selection of optimal parameters of known and unknown standard deviation variables resampling scheme for specified two points on the operating characteristic curve, namely, the acceptable quality level and the limiting quality level along with the producer and consumer's risks. The optimization problem is formulated as a nonlinear programming where the objective function to be minimized is the average sample number and the constraints are related to lot acceptance probabilities at acceptable quality level and limiting quality level under the operating characteristic curve.

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“…In such cases, resampling is always done. Thus, a resubmitted sampling scheme by attributes was developed by Govindaraju and Ganesalingam, [15] which also examined the situation of resampling of lots and derived its OC function. As rapid advancements in the manufacturing technology occur and a stringent customer's demand is enforced, the required number of items by attributes inspection could be exceedingly large in order to reflect adequately the actual lot quality.…”

Section: Introductionmentioning

confidence: 99%

A flexible sampling scheme for variables inspection with loss consideration

Chen

2015

Journal of Statistical Computation and Simulation

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This article develops a variables sampling scheme for resubmitted lots by incorporating the concept of Taguchi loss function. The probability of lot acceptance is derived based on the exact sampling distribution and two-point condition on operating characteristic curve is used to determine the plan parameters that meet both the producer's and consumer's quality and risk requirements. Moreover, the performance of the proposed variables resubmitted sampling plan is investigated and compared with the classical variables single sampling plan. The results indicate that the developed resubmitted sampling plan can provide the same protection with less inspection when the submitted lot is good enough. Tables of the plan parameters under various conditions are provided and the use of the proposed plan is also illustrated with an example.

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Sampling inspection for resubmitted lots

Cited by 78 publications

References 3 publications

Repetitive group sampling plan based on the process capability index for the lot acceptance problem

Repetitive group sampling plan based on the process capability index for the lot acceptance problem

Optimal Designing of Variables Sampling Plan for Resubmitted Lots

A flexible sampling scheme for variables inspection with loss consideration

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