A DEA-bases Approach for Multi-objective Design of Attribute Acceptance Sampling Plans
محورهای موضوعی : International Journal of Data Envelopment Analysis
S. Jafarian-Namin
1
(Faculty of Industrial Engineering, Yazd University, Yazd, Iran)
A Pakzad
2
(Department of Indutrial Engineering, Kosar University of Bojnord, Bojnord,
Iran)
M.S. M.S. Fallah Nezhad
3
(Faculty of Industrial Engineering, Yazd University, Yazd, Iran)
کلید واژه: Acceptance sampling, Single sampling plan, MOESD, DEA,
چکیده مقاله :
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.
[1] Montgomery, D.C. (2008). Introduction to Statistical Quality Control. New York: Wiley.
[2] Pearn, W.L., Wu. C.W. (2006). Critical acceptance values and sample sizes of a variables sampling plan for very low fraction of nonconforming. Omega, 34(1), 90-101.
[3]Aslam, M., Niaki, S.T.A.., Rasool, M., Fallahnezhad, M.S. (2012). Decision rule of repetitive acceptance sampling plans assuring percentile life. Scientia Iranica, 19(3), 879-884.
