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  <titleInfo>
    <title>New model of an FMS using FTPN with demand variability and machine breakdown</title>
  </titleInfo>
  <name type="personal">
    <namePart>Aziz, Muhammad Haris</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Bohez, Erik L.J.</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Manukid Parnichkun</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Dailey, Mathew N.</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>Higher Education Commission (HEC) of Pakistan</namePart>
    <role>
      <roleTerm type="text">Scholarship donor</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>Asian Institute of Technology Fellowship</namePart>
    <role>
      <roleTerm type="text">Scholarship donor</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">th</placeTerm>
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    <place>
      <placeTerm type="text">Pathum Thani</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>2009</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>47 p. : ill., charts</extent>
  </physicalDescription>
  <abstract>Fuzzy Timed Petri Nets (FTPN) have been used to model  Flexible Manufacturing System  (FMS). Effects of demand variability and machine breakdown on the performance measures  of the system have been analyzed.  At first, closed loop and decision free, generic Petri Net (PN) model of an FMS is extended,  which has the properties of liveness  and boundednes s. Then  fuzzy  Membership  Functions  (MF)  of  demand  forecast,  cycle  time,  machine  availa bility,  Work  In  Process  (WIP)  and  demand  satisfaction  are  considered.  Then  the  effect s  of  demand  variability  and  machine  breakdown on cycle time, WIP, lead time, machine ut ilization and actual production of the  system are analyzed through fuzzy inference of MF{u2019}s . The proposed model is verified and validated with t he help of an example model with two  different  cases.  In 1 st   case  demand  is  considered  minimum  with  maximum  availability  of  machines, whereas, in 2 nd  case demand is considered maximum with minimum availability of  machines.</abstract>
  <note>A research study submitted in partial fulfillment of the requirements for the  degree of Master of Engineering in  Industrial and Manufacturing Engineering, School of Engineering and Technology</note>
  <note>Thesis (M.Eng.) - Asian Institute of Technology, 2009</note>
  <subject authority="lcsh">
    <topic>Flexible manufacturing systems</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Petri nets</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Fuzzy Petri nets</topic>
  </subject>
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    <titleInfo>
      <title>Thesis ; no. ISE-09-31</title>
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      <namePart>Asian Institute of Technology.</namePart>
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  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B03272 </identifier>
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    <url displayLabel="Full-Text">http://203.159.5.9/ait-thesis/detail.php?q=B03272 </url>
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