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  <titleInfo>
    <title>Cost optimization in serial kanban production systems using Markov models</title>
  </titleInfo>
  <name type="personal">
    <namePart>Kesavan, Sangaradas</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  </name>
  <name type="personal">
    <namePart>Fujiwara, Okitsugu</namePart>
    <role>
      <roleTerm type="text">Chairperson </roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Pandey, P. C.</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Vilas Wuwongse</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>The Government of Belgium</namePart>
    <role>
      <roleTerm type="text">Scholarship Donor</roleTerm>
    </role>
  </name>
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  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">th</placeTerm>
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    <place>
      <placeTerm type="text">Bangkok</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>1993</dateIssued>
    <issuance>continuing</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>43 leaves : ill.</extent>
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  <abstract>In this study we analyse the perfo1mance measures(inventory and back order) of the kanban  discipline for a serial production system. There is a fixed number of kanbans in each stage. A part  produced at preceding stage must acquire one of these kanbans to enter the stage and must contain  to hold it throughout it sojourn there. Any unattached kanbans that are present in the stage are to be  found on the bulletin board and are considered as requests for the parts produced at preceding  stage. Inte1mediate-product inventory is divided into two parts, inventory at the output buffer and  inventory at the succeeding stage's input queue. There are finite pools for raw parts preceding the  first stage and finite demand following the final stage. We decompose each stage as a semi autonomous component and construct a stochastic model for each isolated stage. We explained the  number of parts in the output buffer and the number of kanbans in the bulletin board as a Markov  process and provide a scheme to analyse the performance measures of the system. In addition to  this we introduce batch ordering policy with optimal re-ordering levels for raw parts. </abstract>
  <note>A thesis submitted in partial fulfillment of the requirement for the degree of Master of Engineering, School of Engineering and Technology</note>
  <note>Thesis (M.Eng.) - Asian Institute of Technology</note>
  <subject authority="lcsh">
    <topic>Production engineering</topic>
  </subject>
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    <titleInfo>
      <title>Thesis ; no. IE-93-19</title>
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    <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=B16333</identifier>
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