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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article"><front><journal-meta><journal-id journal-id-type="publisher-id">INFORMATICA</journal-id><journal-title-group><journal-title>Informatica</journal-title></journal-title-group><issn pub-type="epub">0868-4952</issn><issn pub-type="ppub">0868-4952</issn><publisher><publisher-name>VU</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">inf15101</article-id><article-id pub-id-type="doi">10.15388/Informatica.2004.042</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research article</subject></subj-group></article-categories><title-group><article-title>Intelligent Functional Model for Costs Minimization in Hybrid Manufacturing Systems</article-title></title-group><contrib-group><contrib contrib-type="Author"><name><surname>Bargelis</surname><given-names>Algirdas</given-names></name><email xlink:href="mailto:algirdas.bargelis@ktu.lt">algirdas.bargelis@ktu.lt</email><xref ref-type="aff" rid="j_INFORMATICA_aff_000"/></contrib><aff id="j_INFORMATICA_aff_000">Department of Manufacturing Systems, Kaunas University of Technology, Kęstučio 27, LT‐3004 Kaunas, Lithuania</aff></contrib-group><contrib-group><contrib contrib-type="Author"><name><surname>Hoehne</surname><given-names>Guenter</given-names></name><email xlink:href="mailto:guenter.hoehne@tu-ilmenau.de">guenter.hoehne@tu-ilmenau.de</email><xref ref-type="aff" rid="j_INFORMATICA_aff_001"/></contrib><aff id="j_INFORMATICA_aff_001">Department of Machine Elements and Engineering Design, Ilmenau Technical University, P.O. Box 100565, D‐98684 Ilmenau, Germany</aff></contrib-group><contrib-group><contrib contrib-type="Author"><name><surname>Česnulevičius</surname><given-names>Aurimas</given-names></name><email xlink:href="mailto:aurces@midi.ppf.ktu.lt">aurces@midi.ppf.ktu.lt</email><xref ref-type="aff" rid="j_INFORMATICA_aff_002"/></contrib><aff id="j_INFORMATICA_aff_002">Panevėžys Institute, Kaunas University of Technology, S. Daukanto 12, LT‐5319 Panevėžys, Lithuania</aff></contrib-group><pub-date pub-type="epub"><day>01</day><month>01</month><year>2004</year></pub-date><volume>15</volume><issue>1</issue><fpage>3</fpage><lpage>22</lpage><history><date date-type="received"><day>01</day><month>03</month><year>2003</year></date></history><abstract><p>The paper deals with the intelligent functional model for optimizing the product design and its manufacturing process in hybrid manufacturing systems consisting of people, machines and computers. The knowledge‐based framework of an intelligent functional model has been developed. It furnishes the possibility for a product designer and manufacturer to find an optimal production plan in the early stage of the product design. The mathematical model formalization is provided. A consecutive optimization scheme has been applied for selecting an optimal alternative of a product design and its production plan. The proposed model is being implemented both in industry and university education process.</p></abstract><kwd-group><label>Keywords</label><kwd>hybrid manufacturing system</kwd><kwd>optimization</kwd><kwd>integration</kwd><kwd>intelligent</kwd><kwd>model</kwd><kwd>knowledge base</kwd></kwd-group></article-meta></front></article>