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dc.contributor.advisorRichard D. Braatz and Roy E. Welsch.en_US
dc.contributor.authorPeng, Kevin,S. M.Massachusetts Institute of Technology.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Chemical Engineering.en_US
dc.contributor.otherSloan School of Management.en_US
dc.contributor.otherLeaders for Global Operations Program.en_US
dc.date.accessioned2019-09-18T15:28:50Z
dc.date.available2019-09-18T15:28:50Z
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/122266
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Chemical Engineering, 2019, In conjunction with the Leaders for Global Operations Program at MITen_US
dc.descriptionThesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2019, In conjunction with the Leaders for Global Operations Program at MITen_US
dc.descriptionCataloged from student-submitted PDF version of thesis. "June 2019."en_US
dc.descriptionIncludes bibliographical references (pages 87-89).en_US
dc.description.abstractFlexible, modular, continuous manufacturing small-scale plants (MCSPs) for small-molecule drugs have been recognized as potential safe and economical solutions for pharmaceutical manufacturing. However, among the variety of equipment technologies required for an MCSP platform, there are only a few technologies that have publicly available methodologies for equipment selection. In this study, a new method and tool for computer-assisted equipment selection was developed, which use key engineering correlations and design criteria to match off-the-shelf equipment with the synthesis processes of interest. Furthermore, the tool allows simultaneous equipment selection for multiple synthesis processes to allow the identification of the most flexible MCSP assets. The long-term goal of this tool is to encompass the entire span of technologies that could be used in an MCSP skid and to serve as a communal storage location for vendor-available equipment information to facilitate collaboration and design of a mainstream continuous manufacturing (CM) system. This methodology was applied to equipment selection for the continuous manufacturing of an actual Amgen small-molecule drug substance (API) as a case study. The results from this study showed that the new tool can improve the speed at which equipment is selected and can aid the process developer in decision-making for choosing the most suitable CM asset.en_US
dc.description.statementofresponsibilityby Kevin Peng.en_US
dc.format.extent89 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectChemical Engineering.en_US
dc.subjectSloan School of Management.en_US
dc.subjectLeaders for Global Operations Program.en_US
dc.titleAn equipment selection methodology for continuous manufacturing of small-molecule drugsen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.description.degreeM.B.A.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.contributor.departmentSloan School of Managementen_US
dc.contributor.departmentLeaders for Global Operations Programen_US
dc.identifier.oclc1103319873en_US
dc.description.collectionS.M. Massachusetts Institute of Technology, Department of Chemical Engineeringen_US
dc.description.collectionM.B.A. Massachusetts Institute of Technology, Sloan School of Managementen_US
dspace.imported2019-09-18T15:28:50Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentChemEngen_US


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