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An optimization model for economic design of sampling plans based on conforming run length considering outgoing quality

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  • Mohammad Saber FallahNezhad
  • Ahmad Ahmadi Yazdi

Abstract

In this article, a new economical acceptance sampling model is proposed based on Taguchi loss function. The objective function of the model consists of inspection cost, scrap cost, and Taguchi loss function including producer loss and consumer loss. The expected total cost includes the loss for an inspected item plus the loss for an accepted item which has not been inspected. Decision-making is based on conforming run length. It is assumed that the quality characteristics follow normal distribution. A numerical example is solved for illustrating application of this model. Sensitivity analysis is proposed for illustrating the effect of some important parameters on the objective function. Finally, we compared the results of the proposed method with classical Dodge–Romig sampling plans tables based on average outgoing quality limit. The results confirmed the superiority of proposed model.

Suggested Citation

  • Mohammad Saber FallahNezhad & Ahmad Ahmadi Yazdi, 2017. "An optimization model for economic design of sampling plans based on conforming run length considering outgoing quality," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(5), pages 2202-2211, March.
    • Handle: RePEc:taf:lstaxx:v:46:y:2017:i:5:p:2202-2211
    DOI: 10.1080/03610926.2015.1035396
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