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The development and analysis of a multi-attribute quality control cost model

dc.contributor.authorMcCaslin, James Albert, 1948-en
dc.contributor.departmentIndustrial Engineering and Operations Researchen
dc.date.accessioned2017-03-10T21:43:10Zen
dc.date.available2017-03-10T21:43:10Zen
dc.date.issued1973en
dc.description.abstractA multi-attribute quality control cost model is presented in this thesis. The mathematical model expresses the expected total cost of the quality system per lot as a function of the decision variables, nᵢ and cᵢ, i = 1, 2, . . . , m, where nᵢ is the sample size for the ith attribute. cᵢ is the acceptance number for the ith attribute. m is the number of attributes. The expected total cost is denoted by C<sub>T</sub> and can be expressed as C<sub>T</sub> = E (cost of sampling inspection). E (cost of accepting the lot). E (cost of rejecting and scrapping the lot). E (cost of rejecting and screening the lot). An optimal sampling plan can be obtained by determining the nᵢ and cᵢ, i = 1, 2, …, m, that minimizes C<sub>T</sub>. The nᵢ and cᵢ are found by means of a search technique that has proved useful in attribute quality control systems. In addition to the model development and optimization, a sensitivity analysis is performed on the use of the gallllla distribution as an estimate of the true process distribution for single and triple attribute systems. Also, a model sensitivity analysis is performed on errors in the estimation of the Cₐᵢ, the cost of accepting a defective unit.en
dc.description.degreeMaster of Scienceen
dc.format.extentxi, 188 leavesen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/10919/76385en
dc.language.isoenen
dc.publisherVirginia Polytechnic Institute and State Universityen
dc.relation.isformatofOCLC# 38903423en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1973.M29en
dc.titleThe development and analysis of a multi-attribute quality control cost modelen
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineIndustrial Engineering and Operations Researchen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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