<?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>2026-09-20T00:15:00Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/151922" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/151922</identifier><datestamp>2023-08-24T03:16:25Z</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">Willems, Sean</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="advisor">Hardt, David</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author">Sandifer, Darron</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">2023-08-23T16:19:20Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2023-08-23T16:19:20Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued">2023-06</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="submitted">2023-08-02T22:27:54.845Z</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/151922</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract">In manufacturing, it is vital to identify current or potential bottlenecks and create plans to either eliminate, mitigate, or prevent them. There are many ways in which to assess a given system and identify the bottleneck: visual inspection, production data, anecdotal evidence, and experience, to name a few. Most strategies are a blend of methods with experience and anecdotal evidence comprising the majority of the approach which leads to large discrepancies between assessors.&#xd;
&#xd;
This thesis details a method to standardize the assessment method of under performing portions of a manufacturing line while still giving the assessor the ability to leverage their experience, expertise, and creativity to solve the problem. This framework will be applied in a case study conducted at Nissan North America’s Canton, Mississippi Assembly Facility resulting in reclamation of approximately 50 minutes of production time eliminating the overtime requirement for a pair of manufacturing cells.</dim:field>
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   <dim:field mdschema="dc" element="description" qualifier="degree">S.M.</dim:field>
   <dim:field mdschema="dc" element="publisher">Massachusetts Institute of Technology</dim:field>
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   <dim:field mdschema="dc" element="title">Continuous Improvement Framework for a Multi-model Production Line</dim:field>
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   <dim:field mdschema="thesis" element="degree" qualifier="name">Master of Science in Mechanical Engineering</dim:field>
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   	&lt;Title>Continuous Improvement Framework for a Multi-model Production Line&lt;/Title>
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   	&lt;PublicationDate>2023-06&lt;/PublicationDate>
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   	&lt;Abstract>In manufacturing, it is vital to identify current or potential bottlenecks and create plans to either eliminate, mitigate, or prevent them. There are many ways in which to assess a given system and identify the bottleneck: visual inspection, production data, anecdotal evidence, and experience, to name a few. Most strategies are a blend of methods with experience and anecdotal evidence comprising the majority of the approach which leads to large discrepancies between assessors.&#xd;
&#xd;
This thesis details a method to standardize the assessment method of under performing portions of a manufacturing line while still giving the assessor the ability to leverage their experience, expertise, and creativity to solve the problem. This framework will be applied in a case study conducted at Nissan North America’s Canton, Mississippi Assembly Facility resulting in reclamation of approximately 50 minutes of production time eliminating the overtime requirement for a pair of manufacturing cells.&lt;/Abstract>
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