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dc.rights.licenseAll rights reserveden_US
dc.contributor.advisorNieves, Edgar
dc.contributor.authorNieves Santiago, Jorge L
dc.date.accessioned2020-09-08T11:48:15Z
dc.date.available2020-09-08T11:48:15Z
dc.date.issued2012
dc.identifier.citationNieves Santiago, J.L. (2012). Attribute data treatment of automated inspection vision system for product mix-up detection [Unpublished manuscript]. Graduate School, Polytechnic University of Puerto Rico.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12475/518
dc.descriptionDesign Project Article for the Graduate Programs at Polytechnic University of Puerto Ricoen_US
dc.description.abstractThe pharmaceutical industry continues to grow at an exponential pace, with number of medications being mixed, molded, stamped, and packaged every day in the millions. Regardless of the amount, the margin for error never changes. To prevent any mistakes, the human factor has been reduced and replaced by high speed vision inspection systems. This paper presents a statistical evaluation of product mix-up detection confidence levels, confidence intervals and sample size considerations for a filler vision system (i.e., Optel Vision Inspection) in bottle packaging line using executed engineering studies of “XYZ” Pharmaceutical Industry located at Puerto Rico. An Attribute Agreement Analysis will be used to investigate whether this system can be used for detect different tablet’s defects as broken, different shapes or colors presentations to assess the consistency of responses of appraisers vs. standard reference for the inspection system. Key Terms: Appraiser, Attribute Agreement Analysis, Confidence Intervals, Confidence Level.en_US
dc.language.isoen_USen_US
dc.publisherPolytechnic University of Puerto Ricoen_US
dc.relation.ispartofManufacturing Engineering;
dc.relation.ispartofseriesWinter-2012;
dc.relation.haspartSan Juanen_US
dc.subject.lcshPharmaceutical industry--Production controlen_US
dc.subject.lcshTablets (Medicine)--Quality controlen_US
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Research
dc.titleAttribute Data Treatment of Automated Inspection Vision System For Product Mix-Up Detectionen_US
dc.typeArticleen_US
dc.rights.holderPolytechnic University of Puerto Rico, Graduate Schoolen_US


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