Optimization of Bioburden Samples Processing in the Microbiology Laboratory Using Six Sigma

dc.contributor.advisorMorales Morales, José Alberto
dc.contributor.authorRosa Matos, Raquel
dc.date.accessioned2023-09-15T00:34:15Z
dc.date.available2023-09-15T00:34:15Z
dc.date.issued2023
dc.descriptionDesign Project Article for the Graduate Programs at Polytechnic University of Puerto Ricoen_US
dc.description.abstractThis article presents the use of the Lean Six Sigma tool to identify factors affecting the processing of samples that require Bioburden testing in the Microbiology Laboratory. The objective of this article was to implement and design a system in which samples could be processed in the shortest time. The data was collected using LIMS System and behavior was evaluated by watching the analyst during test execution. Then, a statistics test helps to compare and determine if the new design fulfills the objectives of the research. Our findings suggest that the Bioburden tests of water samples and final products are more manageable than those of In-process samples. However, we conclude that the processing times of the samples were significantly reduced. Key Terms - Bioburden, Lean Six Sigma, Microbiology, Quality Control.en_US
dc.identifier.citationRosa Matos, R. (2023). Optimization of Bioburden Samples Processing in the Microbiology Laboratory Using Six Sigma [Unpublished manuscript]. Graduate School, Polytechnic University of Puerto Rico.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12475/1972
dc.language.isoenen_US
dc.publisherPolytechnic University of Puerto Ricoen_US
dc.relation.haspartSan Juanen_US
dc.relation.ispartofManufacturing Engineering;
dc.relation.ispartofseriesSpring-2023;
dc.rights.holderPolytechnic University of Puerto Rico, Graduate Schoolen_US
dc.rights.licenseAll rights reserveden_US
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Researchen_US
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Postersen_US
dc.subject.lcshPolytechnic University of Puerto Rico--Subject headings--Unassigneden_US
dc.titleOptimization of Bioburden Samples Processing in the Microbiology Laboratory Using Six Sigmaen_US
dc.typeArticleen_US

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