An expert system for selecting attribute sampling plans

dc.citation.epage372en_US
dc.citation.issueNumber6en_US
dc.citation.spage364en_US
dc.citation.volumeNumber3en_US
dc.contributor.authorFard, N. S.en_US
dc.contributor.authorSabuncuoglu, I.en_US
dc.date.accessioned2016-02-08T10:56:26Z
dc.date.available2016-02-08T10:56:26Z
dc.date.issued1990en_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.description.abstractA considerable portion of quality control managers lime in a production system is spent in routine and complex decision-making processes that have significant impact on average outgoing quality, quality improvement, and quality cost. The quality control manager must decide among various statistical process control methods and sampling plans for each part (or characteristic). These decisions arc usually based on how critical a part is, historical information about the quality of the parts, and other factors. Many of these factors require subjective judgments by the quality control manager. For a production facility with an inventory system of thousands of different parls l determination of feasible sampling plans and process control charts is a time-consuming and difficult task. As demons: rated in this paper, an expert system has been designed 10 faciliratc the selection of an appropriate sampling plan for each part . The system is referred to as Adviser for Selecting Auribute Sampling Plan (ASASP). © 1990 Taylor & Francis Ltd.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T10:56:26Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 1990en
dc.identifier.doi10.1080/09511929008944467en_US
dc.identifier.issn0951-192X
dc.identifier.urihttp://hdl.handle.net/11693/26206
dc.language.isoEnglishen_US
dc.publisherTaylor & Francisen_US
dc.relation.isversionofhttp://dx.doi.org/10.1080/09511929008944467en_US
dc.source.titleInternational Journal of Computer Integrated Manufacturingen_US
dc.titleAn expert system for selecting attribute sampling plansen_US
dc.typeArticleen_US

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