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  <titleInfo>
    <title>Simulation input modeling for precasting operations</title>
  </titleInfo>
  <name type="personal">
    <namePart>Ponthep Chaktrimongkol</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Manavazhi, M.R.</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Watanabe, Tsunemi</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
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  </name>
  <name type="personal">
    <namePart>Herabat, Pannapa</namePart>
    <role>
      <roleTerm type="text">Examination committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>Asian Institute of Technology Partial Scholarship</namePart>
    <role>
      <roleTerm type="text">Scholarship Donor</roleTerm>
    </role>
  </name>
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  <genre authority="marc">series</genre>
  <genre authority="marc">technical report</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">th</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Bangkok</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>2000</dateIssued>
    <issuance>continuing</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <extent>115 leaves</extent>
  </physicalDescription>
  <abstract>This research develops input statistical models for construction processes that approximates the underlying standard distribution of the processes. Before the analysis and design of construction operations can be implemented, the statistical tools must be understood and applied as a part of input modeling. Modeling an input process is usually performed by selecting a model, applying a method for solving for parameters and fitting a sufficiently flexible probabilistic distribution to processes based on sample data. A precasting operation, which is highly repetitive, is selected for analysis of work task duration and implementing a standard statistical distribution. This research presents the application of the CYCLONE model of the segmental precasting operation at Bang Na Precasting Yard. The model is formulated based on a time study that was conducted at the precasting yard. It was found that the underlying probability density functions of various tasks could take a wide variety of shapes. The most commonly occurring distribution, which was . found, was the lognormal distribution and follow by the beta distribution.</abstract>
  <note>A thesis submitted in partial fulfillment of the requirement for a degree of Master of Engineering, School of Civil Engineering</note>
  <note>Thesis (M.Eng.) - Asian Institute of Technology, 2000</note>
  <subject authority="lcsh">
    <topic>Precast concrete construction</topic>
    <topic>Simulation methods</topic>
  </subject>
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    <titleInfo>
      <title>Thesis ; no. ST-00-52</title>
    </titleInfo>
    <name type="corporate">
      <namePart>Asian Institute of Technology.</namePart>
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    </name>
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  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B06512</identifier>
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    <url displayLabel="Full-Text">http://203.159.5.9/ait-thesis/detail.php?q=B06512</url>
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