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Saminathan Balamurali ; Chi-Hyuck Jun ; Batool Hussain ;Revista Colombiana de Estadística 2015, 38 2

Autor: Aslam. Muhammad

Fuente: http://www.redalyc.org/


Introducción



Revista Colombiana de Estadística ISSN: 0120-1751 revcoles_fcbog@unal.edu.co Universidad Nacional de Colombia Colombia Muhammad, Aslam.; Balamurali, Saminathan; Jun, Chi-Hyuck; Hussain, Batool Design of SkSP-R Variables Sampling Plans Revista Colombiana de Estadística, vol.
38, núm.
2, julio, 2015, pp.
413-429 Universidad Nacional de Colombia Bogotá, Colombia Available in: http:--www.redalyc.org-articulo.oa?id=89940050007 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative Revista Colombiana de Estadística July 2015, Volume 38, Issue 2, pp.
413 to 429 DOI: http:--dx.doi.org-10.15446-rce.v38n2.51669 Design of SkSP-R Variables Sampling Plans Diseño de planes de muestreo SkSP-R Muhammad Aslam1,a , Saminathan Balamurali2,b , Chi-Hyuck Jun3,c , Batool Hussain4,d 1 Department of Statistics, Faculty of Sciences, King Abdulaziz University, Saudi Arabia 2 Departments 3 Department of Mathematics institution, Krishnankoil, India of Industrial and Management Engineering, Pohang University of Science and Technology, Republic of Korea 4 Department of Statistics, Kinnaird College for Women, Pakistan Abstract In this paper, we present the designing of the skip-lot sampling plan including the re-inspection called SkSP-R .The plan parameters of the proposed plan are determined through a nonlinear optimization problem by minimizing the average sample number satisfying both the producer’s risk and the consumer’s risks.
The proposed plan is shown to perform better than the existing sampling plans in terms of the average sample number. The application of the proposed plan is explained with the help of illustrative examples. Key words: Acceptable Quality Level, Acceptance Sampling, Average Sample Number, Limiting Quality Level, Quality C...





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