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Journal of Engineering and Applied Sciences

ISSN: Online 1818-7803
ISSN: Print 1816-949x
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Strategic Modeling of Single Sampling Attribute Plans Based on Quality Loss Function to Ensure Product Quality

S.M. Kannan , G. Manikandan and V. Jayabalan
Page: 184-189 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

In any manufacturing process acceptance sampling is essential to accept products from the supplier or from the internal customer (between the processes). Acceptance between the processes is essential because further processing on a bad semi-processing product would be a waste. Attribute single sampling plans psychologically pressurizing the producer to produce quality products and are also easy to use and administer. The quality loss function developed by Taguchi emphasis the need for maintaining the specification mean as the target to reduce loss to the society. The acceptance sampling plans presently followed don’t accommodate different quality losses associated with not maintaining the specification mean. The authors propose a method for designing single sampling attribute plans to accommodate this quality loss function while setting the specification limits for evaluating the products. A numerical case example is also presented. New levels of AQL and LTPD are chosen and corresponding changes in the given specifications are made yielding to smaller sample size. The new tightened specification allows the probability of occurrence of the defective in a smaller size of the sample. The parameter ATI calculated shows considerable improvements from the existing sampling plans. Thus the proposed procedure shifts the application of acceptance sampling plan to acceptance control plan to ensure minimum deviations from the desired specification mean to reduce the loss to the firm as well as to the society.


How to cite this article:

S.M. Kannan , G. Manikandan and V. Jayabalan . Strategic Modeling of Single Sampling Attribute Plans Based on Quality Loss Function to Ensure Product Quality.
DOI: https://doi.org/10.36478/jeasci.2008.184.189
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2008.184.189