<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T11:00:15Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/117952" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/117952</identifier><datestamp>2022-01-27T21:21:28Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Richard Braatz and Nelson Repenning.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Rustia, Maria Dominique Bautista</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Leaders for Global Operations Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Leaders for Global Operations Program at MIT</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Mechanical Engineering</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Sloan School of Management</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2018-09-17T15:51:20Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2018-09-17T15:51:20Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/117952</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1051237399</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, 2018.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, in conjunction with the Leaders for Global Operations Program at MIT, 2018.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 116-121).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The long development lead time and high R&amp;D costs for biologics drugs makes it imperative to eliminate delays and inefficiencies. Limited process development capacity can lead to delays in the availability of life-saving drugs and a large opportunity cost for biopharmaceutical companies. This study investigates the combined viability and impact of two approaches, namely applying lean principles and using high-throughput technology to increase capacity and productivity in pivotal biologics drug process development. Specifically, the project will explore a framework for improved handoffs and work design, and propose management systems to sustain implementation. In parallel, the study tests the sensitivity of the process development cycle to various resource constraints through a discrete event simulation and develops heuristics for the effective use of high-throughput equipment in upstream and downstream processes to increase process development capacity. The two approaches identified a potential increase in throughput of 2.75X (+175%) in preparation for an anticipated 2.3X (+129%) growth in biologics program demand in pivotal process development.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Maria Dominique Bautista Rustia.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.B.A.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">133 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">MIT 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.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
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   <dim:field mdschema="dc" element="subject" lang="en_US">Mechanical Engineering.</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Leaders for Global Operations Program.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Augmenting drug process development capacity through applications of lean principles and high throughput technology</dim:field>
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   	&lt;Title>Augmenting drug process development capacity through applications of lean principles and high throughput technology&lt;/Title>
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   	&lt;PublicationDate>2018&lt;/PublicationDate>
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    &lt;Keyword>Sloan School of Management.&lt;/Keyword>
    &lt;Keyword>Mechanical Engineering.&lt;/Keyword>
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   	&lt;Abstract>The long development lead time and high R&amp;amp;D costs for biologics drugs makes it imperative to eliminate delays and inefficiencies. Limited process development capacity can lead to delays in the availability of life-saving drugs and a large opportunity cost for biopharmaceutical companies. This study investigates the combined viability and impact of two approaches, namely applying lean principles and using high-throughput technology to increase capacity and productivity in pivotal biologics drug process development. Specifically, the project will explore a framework for improved handoffs and work design, and propose management systems to sustain implementation. In parallel, the study tests the sensitivity of the process development cycle to various resource constraints through a discrete event simulation and develops heuristics for the effective use of high-throughput equipment in upstream and downstream processes to increase process development capacity. The two approaches identified a potential increase in throughput of 2.75X (+175%) in preparation for an anticipated 2.3X (+129%) growth in biologics program demand in pivotal process development.&lt;/Abstract>
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