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<export-example>
  <doc>
    <id>9056</id>
    <completedYear/>
    <publishedYear>2012</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>215</pageFirst>
    <pageLast>220</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Curran</publisherName>
    <publisherPlace>Red Hook, NY</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2013-07-01</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Ontology based Intelligent Assistant System to support Manufacturing activities in a Distributed Manufacturing Environment</title>
    <abstract language="eng">The automotive industry is experiencing several limitations due to high mass customization on product side and the consequent evolution of newer ones as well as the expansion of existing production setups. There exist various complexities in planning and control of istributed production setups. This paper addresses issues related to planning using knowledge management approaches in the decentralized manufacturing domain with two distinct cases. The first case relates to the higher level planning methodology to automate experts’ knowledge in production ramp-up whereas the second case relates to optimization of production processes using knowledgebase as an intelligent assistance system for optimization.</abstract>
    <parentTitle language="eng">45th CIRP Conference on Manufacturing Systems 2012, Athens, Greece, 16 - 18 May 2012</parentTitle>
    <identifier type="isbn">978-1-62748-512-8</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="UBICOseries">Procedia CIRP ; 3</enrichment>
    <author>
      <firstName>Sarfraz Ul-Haque</firstName>
      <lastName>Minhas</lastName>
    </author>
    <submitter>
      <firstName>Marcel</firstName>
      <lastName>Halbauer</lastName>
    </submitter>
    <author>
      <firstName>Christian</firstName>
      <lastName>Juzek</lastName>
    </author>
    <author>
      <firstName>Ulrich</firstName>
      <lastName>Berger</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Ramp-up, Knowledge management, Knowledge manager</value>
    </subject>
    <collection role="old_institute" number="03019">LS Automatisierungstechnik</collection>
    <collection role="institutes" number="3402">FG Automatisierungstechnik</collection>
  </doc>
  <doc>
    <id>9405</id>
    <completedYear/>
    <publishedYear>2013</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>454</pageFirst>
    <pageLast>459</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2013-09-16</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Development of Intelligent Decision Support System Based on Unified Concept for Distributed Manufacturing Planning</title>
    <abstract language="eng">The optimization processes in production planning often encounter problems due to unavailability of skilled workers in the concerned production departments since the decisions made in uncertain situations rely mainly on the knowledge possessed by the relevant planners. This paper further presents and elaborates the unified web-based knowledge based decision support system concept to automate and reuse implicit knowledge generated during interaction with the dedicated software tools as well as during interaction with real hardware setups in an industrial environment. The unified concept has been devised considering two pilot cases i.e. decision making on eco-efficient decentralized production schemes for manufacturing customized products and decision support for solving problems in ramp-up management process. This paper further discusses the development issues concerning web-based knowledge based decision support system to demonstrate the unified concept. The software modules from both pilot cases are validated considering two pilot cases.</abstract>
    <parentTitle language="eng">7th IFAC Conference on Manufacturing Modelling, Management, and Control</parentTitle>
    <identifier type="doi">10.3182/20130619-3-RU-3018.00351</identifier>
    <enrichment key="UBICOseries">Manufacturing Modelling, Management, and Control ; 7,1</enrichment>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <author>
      <firstName>Sarfraz Ul-Haque</firstName>
      <lastName>Minhas</lastName>
    </author>
    <editor>
      <firstName>Natalia</firstName>
      <lastName>Bakhtadze</lastName>
    </editor>
    <submitter>
      <firstName>Sarfraz Ul-Haque</firstName>
      <lastName>Minhas</lastName>
    </submitter>
    <author>
      <firstName>Christian</firstName>
      <lastName>Juzek</lastName>
    </author>
    <editor>
      <firstName>Kirill</firstName>
      <lastName>Chernyshov</lastName>
    </editor>
    <author>
      <firstName>Ulrich</firstName>
      <lastName>Berger</lastName>
    </author>
    <editor>
      <firstName>Alexandre</firstName>
      <lastName>Dolgui</lastName>
    </editor>
    <author>
      <firstName>Christian</firstName>
      <lastName>Lehmann</lastName>
    </author>
    <editor>
      <firstName>Vladimir</firstName>
      <lastName>Lototsky</lastName>
    </editor>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Knowledge management in production; Mass customization</value>
    </subject>
    <collection role="old_institute" number="03019">LS Automatisierungstechnik</collection>
    <collection role="institutes" number="3402">FG Automatisierungstechnik</collection>
  </doc>
  <doc>
    <id>9413</id>
    <completedYear/>
    <publishedYear>2012</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>215</pageFirst>
    <pageLast>220</pageLast>
    <pageNumber/>
    <edition/>
    <issue>3</issue>
    <volume>1</volume>
    <type>articler</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2013-09-16</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Ontology Based Intelligent Assistance System to Support Manufacturing Activities in a Distributed Manufacturing Environment</title>
    <abstract language="eng">The automotive industry is experiencing several limitations due to high mass customization on product side and the consequent evolution of newer ones as well as the expansion of existing production setups. There exist various complexities in planning and control of distributed production setups. This paper addresses issues related to planning using knowledge management approaches in the decentralized manufacturing domain with two distinct cases. The first case relates to the higher level planning methodology to automate experts’ knowledge in production ramp-up whereas the second case relates to optimization of production processes using knowledgebase as an intelligent assistance system for optimization.</abstract>
    <parentTitle language="eng">Procedia CIRP</parentTitle>
    <identifier type="doi">10.1016/j.procir.2012.07.038</identifier>
    <identifier type="url">http://www.sciencedirect.com/science/article/pii/S2212827112002107</identifier>
    <identifier type="issn">2212-8271</identifier>
    <note>45th CIRP Conference on Manufacturing Systems 2012</note>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <author>
      <firstName>Sarfraz Ul-Haque</firstName>
      <lastName>Minhas</lastName>
    </author>
    <editor>
      <firstName>George</firstName>
      <lastName>Chryssolouris</lastName>
    </editor>
    <submitter>
      <firstName>Sarfraz Ul-Haque</firstName>
      <lastName>Minhas</lastName>
    </submitter>
    <author>
      <firstName>Christian</firstName>
      <lastName>Juzek</lastName>
    </author>
    <editor>
      <firstName>Dimitris</firstName>
      <lastName>Mourtzis</lastName>
    </editor>
    <author>
      <firstName>Ulrich</firstName>
      <lastName>Berger</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Ramp-up; Knowledge management; Knowledge manager</value>
    </subject>
    <collection role="old_institute" number="03019">LS Automatisierungstechnik</collection>
    <collection role="institutes" number="3402">FG Automatisierungstechnik</collection>
  </doc>
  <doc>
    <id>9488</id>
    <completedYear/>
    <publishedYear>2013</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>617</pageFirst>
    <pageLast>626</pageLast>
    <pageNumber/>
    <edition/>
    <issue>81</issue>
    <volume>2012</volume>
    <type>articler</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2013-09-18</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Elicitation of Requirements for a Knowledge Management Concept in Decentralized Production Planning</title>
    <abstract language="eng">The planning in manufacturing system is becoming &#13;
complicated day by day due to the expanding networks and shortage &#13;
of skilled people to manage change. Consequently, faster lead time &#13;
and rising demands for eco-efficient evaluation of manufacturing &#13;
products and processes need exploitation of new and intelligent &#13;
knowledge management concepts for manufacturing planning. This &#13;
paper highlights motivation for incorporation of new features in the &#13;
manufacturing planning system. Furthermore, it elaborates &#13;
requirements for the development of intelligent knowledge &#13;
management concept to support planning related decisions. &#13;
Afterwards, the derived concept is presented in this paper considering &#13;
two case studies. The first case study is concerned with the &#13;
automotive ramp-up planning. The second case study specifies &#13;
requirements for knowledge management system to support decisions &#13;
in eco-efficient evaluation of manufacturing products and processes.</abstract>
    <parentTitle language="eng">Special Journal Issue of World Academy of Science, Engineering and Technology</parentTitle>
    <identifier type="url">http://c.waset.org/Publications?p=81</identifier>
    <identifier type="issn">2010-3778</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <author>
      <firstName>Sarfraz Ul-Haque</firstName>
      <lastName>Minhas</lastName>
    </author>
    <submitter>
      <firstName>Sarfraz Ul-Haque</firstName>
      <lastName>Minhas</lastName>
    </submitter>
    <author>
      <firstName>Christian</firstName>
      <lastName>Juzek</lastName>
    </author>
    <author>
      <firstName>Ulrich</firstName>
      <lastName>Berger</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Ramp-up, Environmental impact, Knowledge management</value>
    </subject>
    <collection role="old_institute" number="03019">LS Automatisierungstechnik</collection>
    <collection role="institutes" number="3402">FG Automatisierungstechnik</collection>
  </doc>
</export-example>
