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dc.contributor.authorPurdy, Gregory Ten_US
dc.date.accessioned2018-05-16T06:00:17Z
dc.date.available2018-05-16T06:00:17Z
dc.date.issued2016-11-21
dc.identifier.othervt_gsexam:9228en_US
dc.identifier.urihttp://hdl.handle.net/10919/83231
dc.description.abstractBreakthroughs in molecular and synthetic biology through de novo gene synthesis are stimulating new vaccines, pharmaceutical applications, and functionalized biomaterials, and advancing the knowledge of the function of cells. This evolution in biological processing motivates the study of a class of manufacturing systems, defined here as genetic manufacturing systems, which produce a final product with a genetic construct. Genetic manufacturing systems rely on rare molecular events for success, resulting in waste and repeated work during the deoxyribonucleic acid (DNA) fabrication process. Inspection and real time monitoring strategies are possible as mitigation tools, but it is unclear if these techniques are cost efficient and value added for the successful creation of custom genetic constructs. This work investigates resource allocation strategies for DNA fabrication environments, with an emphasis on inspection allocation. The primary similarities and differences between traditional manufacturing systems and genetic manufacturing systems are described. A serial, multi-stage inspection allocation mathematical model is formulated for a genetic manufacturing system utilizing gene synthesis. Additionally, discrete event simulation is used to evaluate inspection strategies for a fragment synthesis process and multiple fragment assembly operation. Results from the mathematical model and discrete event simulation provide two approaches to determine the appropriate inspection strategies with respect to total cost or total flow time of the genetic manufacturing system.en_US
dc.format.mediumETDen_US
dc.publisherVirginia Techen_US
dc.rightsThis Item is protected by copyright and/or related rights. Some uses of this Item may be deemed fair and permitted by law even without permission from the rights holder(s), or the rights holder(s) may have licensed the work for use under certain conditions. For other uses you need to obtain permission from the rights holder(s).en_US
dc.subjectDiscrete Event Simulationen_US
dc.subjectGene Synthesisen_US
dc.subjectGenetic Manufacturing Systemsen_US
dc.subjectInspection Allocationen_US
dc.subjectMathematical Modelingen_US
dc.subjectMolecular Biologyen_US
dc.subjectSynthetic Biologyen_US
dc.titleResource Allocation and Process Improvement of Genetic Manufacturing Systemsen_US
dc.typeDissertationen_US
dc.contributor.departmentIndustrial and Systems Engineeringen_US
dc.description.degreePHDen_US
thesis.degree.namePHDen_US
thesis.degree.leveldoctoralen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineIndustrial and Systems Engineeen_US
dc.contributor.committeechairCamelio, Jaime A.en_US
dc.contributor.committeememberTaylor, Gaylon Donen_US
dc.contributor.committeememberEllis, Kimberly Pen_US
dc.contributor.committeememberKoelling, Charles Pen_US


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