<?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>2026-09-19T15:59:48Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/77540" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/77540</identifier><datestamp>2026-06-06T01:03:35Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>com_1721.1_101402</setSpec><setSpec>col_1721.1_131023</setSpec><setSpec>col_1721.1_101610</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">Jarrod Goentzel.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Krishnamurthy, Prashanth, M. Eng. Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Prasad, Amit</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Engineering Systems Division.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Engineering Systems Division</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2013-03-01T15:27:48Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2012</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2012</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">827223256</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2012.</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 (p. 76-77).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This thesis presents a model to determine safety stock considering the distinct planning parameters for a pharmaceutical company. Traditional parameters such as forecast accuracy, service level requirements and average lead-time are combined with a nontraditional upstream uncertainty parameter defined as supply reliability. In this instance, supply reliability measures uncertainty in the supply quantity delivered rather than variability in the lead-time for delivery. We consider the impact of the safety stock using two products: a proprietary product that is patented and a generic product that recently went off patent. Sensitivity analysis is performed to provide insights on the impact of variations in input parameters. The study shows that there is a significant difference in safety stock between the proposed model and the current model used by the company.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Prashanth Krishnamurthy and Amit Prasad.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng. in Logistics</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">77 p.</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">M.I.T. theses are protected by 
copyright. They may be viewed from this source for any purpose, but 
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   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Engineering Systems Division.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Inventory strategies for patented and generic products for a pharmaceutical supply chain</dim:field>
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   	&lt;Title>Inventory strategies for patented and generic products for a pharmaceutical supply chain&lt;/Title>
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   	&lt;PublicationDate>2012&lt;/PublicationDate>
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        	&lt;DisplayName>Krishnamurthy, Prashanth, M. Eng. Massachusetts Institute of Technology&lt;/DisplayName>
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   	&lt;Abstract>This thesis presents a model to determine safety stock considering the distinct planning parameters for a pharmaceutical company. Traditional parameters such as forecast accuracy, service level requirements and average lead-time are combined with a nontraditional upstream uncertainty parameter defined as supply reliability. In this instance, supply reliability measures uncertainty in the supply quantity delivered rather than variability in the lead-time for delivery. We consider the impact of the safety stock using two products: a proprietary product that is patented and a generic product that recently went off patent. Sensitivity analysis is performed to provide insights on the impact of variations in input parameters. The study shows that there is a significant difference in safety stock between the proposed model and the current model used by the company.&lt;/Abstract>
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