<?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>2026-09-18T23:18:43Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/106242" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/106242</identifier><datestamp>2022-01-13T07:55:19Z</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">Dov Dori.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Casebolt, Jason M. (Jason MacArthur)</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" lang="en_US">Massachusetts Institute of Technology. Engineering and Management Program</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">System Design and Management Program.</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2017-01-06T16:13:30Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2016</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2016</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/106242</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">961911842</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, School of Engineering, System Design and Management Program, Engineering and Management Program, 2016.</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 63-64).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This thesis introduces AD-OPM BPI, which is a new method of conducting business process improvement using both Axiomatic Design and Object-Process Methodology. The premise underlying the method is that modern process improvement techniques boast large efficiency gains, but fail to address the broader process system. Through first using Axiomatic Design to map and optimize the process system, broader-inefficiencies will be addressed before they constrain individual processes. Then Object-Process Methodology is conducted for process-specific optimization by utilizing modern system architecture layering principles to identify nonvalue-adding entities and improve them through deletion or simplification. A case study at a large aerospace manufacturing company demonstrates the method in practical application. Results suggest that application is better suited to new or small-scale systems due to the challenge of applying Axiomatic Design to pre-existing large scale systems. Despite this limitation, Object-Process Methodology remains a viable option for business process improvement, whether or not it is coupled with Axiomatic Design in AD-OPM BPI.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Jason M. Casebolt.</dim:field>
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   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">64 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">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>
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   <dim:field mdschema="dc" element="subject" lang="en_US">Engineering Systems Division.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Business process improvement using axiomatic design and object-process methodology</dim:field>
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   	&lt;Title>Business process improvement using axiomatic design and object-process methodology&lt;/Title>
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   	&lt;PublicationDate>2016&lt;/PublicationDate>
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   	&lt;Abstract>This thesis introduces AD-OPM BPI, which is a new method of conducting business process improvement using both Axiomatic Design and Object-Process Methodology. The premise underlying the method is that modern process improvement techniques boast large efficiency gains, but fail to address the broader process system. Through first using Axiomatic Design to map and optimize the process system, broader-inefficiencies will be addressed before they constrain individual processes. Then Object-Process Methodology is conducted for process-specific optimization by utilizing modern system architecture layering principles to identify nonvalue-adding entities and improve them through deletion or simplification. A case study at a large aerospace manufacturing company demonstrates the method in practical application. Results suggest that application is better suited to new or small-scale systems due to the challenge of applying Axiomatic Design to pre-existing large scale systems. Despite this limitation, Object-Process Methodology remains a viable option for business process improvement, whether or not it is coupled with Axiomatic Design in AD-OPM BPI.&lt;/Abstract>
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