A DEA-bases Approach for Multi-objective Design of Attribute Acceptance Sampling Plans

Authors

  • A Pakzad Department of Indutrial Engineering, Kosar University of Bojnord, Bojnord, Iran
  • M.S. M.S. Fallah Nezhad Faculty of Industrial Engineering, Yazd University, Yazd, Iran
  • S. Jafarian-Namin Faculty of Industrial Engineering, Yazd University, Yazd, Iran
Abstract:

Acceptance sampling (AS), as one of the main fields of statistical quality control (SQC),involves a system of principles and methods to make decisions about accepting or rejecting alot or sample. For attributes, the design of a single AS plan generally requires determination ofsample size, and acceptance number. Numerous approaches have been developed foroptimally selection of design parameters in last decades. We develop a multi-objectiveeconomic-statistical design (MOESD) of the single AS plan to reach a well-balancedcompromise between cost and quality features. Moreover, a simple and efficient DEA-basedalgorithm for solving the model is proposed. Through a simulation study, the efficiency ofproposed model is illustrated. Comparisons of optimal designs obtained using MOESD toeconomic model with statistical constraints reveals enhanced performance of the multiobjectivemodel.

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Journal title

volume 5  issue 2

pages  1231- 1242

publication date 2017-05-01

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