A hybrid model for designing attributes sampling plans

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buir.advisorDinçer, Cemal
dc.contributor.authorSanin, M. Başar
dc.date.accessioned2016-01-08T20:18:52Z
dc.date.available2016-01-08T20:18:52Z
dc.date.issued1994
dc.descriptionAnkara : Department of Industrial Engineering and the Institute of Engineering and Science of Bilkent Univ., 1994.en_US
dc.descriptionThesis(Master's) -- Bilkent University, 1994.en_US
dc.descriptionIncludes bibliographical references leaves 50-51en_US
dc.description.abstractIn single sampling plans by attributes, statistical and economical considerations have traditionally been discussed separately. An approach taking into account both considerations simultaneously would be more useful in terms o f quality assurance. The suggested model involves minimization o f the expected total cost comprising the inspection cost, the annoyance cost o f rejecting a lot and the cost o f outgoing defective items, while the producer's risk and consumer's risk are not allowed to be greater than specified values. To find the optimal sample size and the optimal acceptance number, a two stage solution method is proposed. The accuracy and the efficiency o f the solution procedure are tested on randomly generated problems, by comparing the solutions obtained by the proposed method to those obtained by enumeration. Sensitivity o f the model is discussed by analyzing the effects o f parameters on the optimal sampling plans.en_US
dc.description.provenanceMade available in DSpace on 2016-01-08T20:18:52Z (GMT). No. of bitstreams: 1 1.pdf: 78510 bytes, checksum: d85492f20c2362aa2bcf4aad49380397 (MD5)en
dc.description.statementofresponsibilitySanin, M Başaren_US
dc.format.extentviii, 56 leavesen_US
dc.identifier.urihttp://hdl.handle.net/11693/18389
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectQuality Controlen_US
dc.subjectAttributes Samplingen_US
dc.subjectAcceptance Sampling Plansen_US
dc.subject.lccQA276.6 .S26 1994en_US
dc.subject.lcshSampling (Statistics).en_US
dc.subject.lcshQuality control--Statistical methods.en_US
dc.titleA hybrid model for designing attributes sampling plansen_US
dc.typeThesisen_US
thesis.degree.disciplineIndustrial Engineering
thesis.degree.grantorBilkent University
thesis.degree.levelMaster's
thesis.degree.nameMS (Master of Science)

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