<?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>2026-09-19T16:20:39Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/53543" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/53543</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">Mahender Singh.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Rimling, Eric C. (Eric Christopher)</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Seoh, Wontae Thomas</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">2010-04-07T13:39:01Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2010-04-07T13:39:01Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2009</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2009</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/53543</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">497151365</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2009.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (leaves 77-78).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The pharmaceutical industry creates products which often have more than one supply chain channel, defined as a route through the supply chain network from sourcing to the end market. Each channel's specific cost characteristics are important to the pharmaceutical industry's ability to maintain positive profit margins while meeting high customer service requirements. Determining the optimal supply chain channel involves the analysis of fuel costs, logistics, taxes, wage differences, and many more. Additionally, variables such as time and risk significantly impact the total cost of a supply chain channel, but are extremely difficult to quantify. In this research, we identify the relevant channel costs and variables for the supply chain of a large pharmaceutical corporation. After identification, our study categorizes each cost based on level of measurability and causes of variability to develop a framework identifying the most relevant costs by four product types. We then analyze market forces that affect costs over a product's lifecycle. Finally, we develop an operational model for using the framework to compare costs across multiple supply chain channels and time horizons.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Eric C. Rimling and Wontae Thomas Seoh.</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">90 leaves</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 
reproduction or distribution in any format is prohibited without written 
permission. See provided URL for inquiries about permission.</dim:field>
   <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">Analysis of global channel costs for the pharmaceutical industry</dim:field>
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   	&lt;Title>Analysis of global channel costs for the pharmaceutical industry&lt;/Title>
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   	&lt;PublicationDate>2009&lt;/PublicationDate>
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        	&lt;DisplayName>Rimling, Eric C. (Eric Christopher)&lt;/DisplayName>
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        	&lt;DisplayName>Seoh, Wontae Thomas&lt;/DisplayName>
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            &lt;DisplayName>Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;Keyword>Engineering Systems Division.&lt;/Keyword>
   	&lt;Abstract>The pharmaceutical industry creates products which often have more than one supply chain channel, defined as a route through the supply chain network from sourcing to the end market. Each channel&amp;apos;s specific cost characteristics are important to the pharmaceutical industry&amp;apos;s ability to maintain positive profit margins while meeting high customer service requirements. Determining the optimal supply chain channel involves the analysis of fuel costs, logistics, taxes, wage differences, and many more. Additionally, variables such as time and risk significantly impact the total cost of a supply chain channel, but are extremely difficult to quantify. In this research, we identify the relevant channel costs and variables for the supply chain of a large pharmaceutical corporation. After identification, our study categorizes each cost based on level of measurability and causes of variability to develop a framework identifying the most relevant costs by four product types. We then analyze market forces that affect costs over a product&amp;apos;s lifecycle. Finally, we develop an operational model for using the framework to compare costs across multiple supply chain channels and time horizons.&lt;/Abstract>
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