<?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>2026-09-18T21:10:39Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/34830" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/34830</identifier><datestamp>2022-01-28T18:40:37Z</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">Jeremie Gallien and David Hardt.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Smith, Clifford A. (Clifford Allen), 1972-</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Leaders for Manufacturing Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Leaders for Manufacturing 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">2006-11-08T16:45:43Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2005</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2005</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/34830</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">61763094</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2005.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 109-110).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The basis for this thesis involved a six and a half month LFM internship at Efficient Storage, Shipping, and Selection. ES3, Efficient Storage, Shipping, and Selection, is a third party logistics firm that specializes in a vendor-neutral consolidation model for the food distribution industry. ES3 receives, stores, and ships multi-vendor products through a distribution center (DC) in York, Pennsylvania. The product is moved and stored by an Automated Storage and Retrieval System (ASRS) which consists of a network of conveyors, vertical lifts, and Selection and Retrieval Machines (SRMs). The ASRS system is not performing to the designed put-away and shipping rates, thus limiting the DC's overall performance during peak operations. The warehouse operations and warehouse design teams had numerous design suggestions for improving the ASRS operations, but it was difficult to predict the enhancement or impact on performance. A simulation model for the inbound system was created to analyze the impact, prioritize, and develop new ideas for improving the system.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Clifford A. Smith.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.B.A.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">110 p.</dim:field>
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   <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>
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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">Sloan School of Management.</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Leaders for Manufacturing Program.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Simulation model used as design improvement decision tool for warehouse material flow</dim:field>
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   	&lt;Title>Simulation model used as design improvement decision tool for warehouse material flow&lt;/Title>
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   	&lt;PublicationDate>2005&lt;/PublicationDate>
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        	&lt;DisplayName>Smith, Clifford A. (Clifford Allen), 1972-&lt;/DisplayName>
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    &lt;Keyword>Mechanical Engineering.&lt;/Keyword>
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   	&lt;Abstract>The basis for this thesis involved a six and a half month LFM internship at Efficient Storage, Shipping, and Selection. ES3, Efficient Storage, Shipping, and Selection, is a third party logistics firm that specializes in a vendor-neutral consolidation model for the food distribution industry. ES3 receives, stores, and ships multi-vendor products through a distribution center (DC) in York, Pennsylvania. The product is moved and stored by an Automated Storage and Retrieval System (ASRS) which consists of a network of conveyors, vertical lifts, and Selection and Retrieval Machines (SRMs). The ASRS system is not performing to the designed put-away and shipping rates, thus limiting the DC&amp;apos;s overall performance during peak operations. The warehouse operations and warehouse design teams had numerous design suggestions for improving the ASRS operations, but it was difficult to predict the enhancement or impact on performance. A simulation model for the inbound system was created to analyze the impact, prioritize, and develop new ideas for improving the system.&lt;/Abstract>
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