The economic design of multivariate acceptance sampling plans

dc.contributor.authorChapman, Stephen Clayen
dc.contributor.departmentIndustrial Engineering and Operations Researchen
dc.date.accessioned2017-03-10T21:42:57Zen
dc.date.available2017-03-10T21:42:57Zen
dc.date.issued1972en
dc.description.abstractA total expected cost model for multivariate acceptance sampling is developed. The components of cost included in the model are presented in two phases: the cost of making the quality control decision (sampling inspection) and the cost of implementing the quality control decision (accept the inspection lot, scrap the lot, or screen the lot). Several variables are to be controlled within their given specification limits, where the sample mean for each of the variables in the criterion by which lot acceptance for that variable is determined. The decision variables are the sample size and the lower and upper control limits for each of the characteristics subjected to the control. The pattern search is used to determine the values of the decision variables which minimize the total expected cost of quality control per inspection lot submitted for control. The lot mean, sample mean, and individual unit measurements for each of the quality characteristics are considered to be random variables. Sensitivity analysis is performed to determine the robustness of the model to changes in the form of the distributions on the lot means given that the desired mean and variance of these distributions has been accurately estimated.en
dc.description.degreeMaster of Scienceen
dc.format.extentix, 228 leavesen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/10919/76367en
dc.language.isoenen
dc.publisherVirginia Polytechnic Institute and State Universityen
dc.relation.isformatofOCLC# 38845020en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1972.C3888en
dc.titleThe economic design of multivariate acceptance sampling plansen
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

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
LD5655.V855_1972.C3888.pdf
Size:
8.32 MB
Format:
Adobe Portable Document Format

Collections