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  <titleInfo>
    <title>Buffer stocks in MRP and related systems</title>
  </titleInfo>
  <name type="personal">
    <namePart>Thevalingam, Kuddythamby</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Awate, Prakash G.</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Tabucanon, Mario T.</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Saeed, Khalid</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>German Academic Exchange Service (DAAD),  Federal Republic of West Germany</namePart>
    <role>
      <roleTerm type="text">Scholarship Donor</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">th</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Bangkok</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>1988</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>53, [27] p.</extent>
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  <abstract>This study explores the methods available to protect Material  Requirement s Planning (MRP ) or related systems when t here is uncertainty  associated with the system. These are multi -stage production systems .  The demand for the end item is stochastic and stationary. This leads to  buffer stocks in the form of safety stock and safety lead time . A careful  survey of recent literature in this area is made to highlight the  computati0nally feasible and promising approaches available.  One of the important development due to Lambrecht and Muckstadt  concern a serial production system under periodic review . Their numerical  evidence indicates that optimal inventory control policies, found by  Markovian Decision Process (MOP) (with multi- dimensional state space)  turns out to yield (S,s) policies for control of echelon inventories.  The MDP gets infeasible for large lead times and/or several production  stages. For that situation Lambrecht and Muckstadt have proposed a  modification to Clark and Scarf approach based on regarding echelon stocks  as sing l e stage inventories; wherein they have done away with the penalty  function computation in Clark and Scarf method . Moreover t hey have  explored the possibility of quantity co-ordination between stages, whose  motivation comes from deterministic models.  I n this study we examine for condition specified by Lambrecht and  Muckstadt for deciding whether or not to employ quantity co- ordination.  The numerical evidence in this study indicates that the basic modification  of Cl ark and Scarf policy due to Lambrecht and Muckstadt gives close to  optimal results, the condition </abstract>
  <note>A thesis summitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology  </note>
  <note>Thesis (M.Eng.) - Asian Institute of Technology, 1988</note>
  <subject authority="lcsh">
    <topic>Production control</topic>
  </subject>
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    <titleInfo>
      <title>Thesis ; no. IE-88-24</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=B18748</identifier>
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    <url displayLabel="Full-Text">http://203.159.5.9/ait-thesis/detail.php?q=B18748</url>
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    <recordCreationDate encoding="marc">240698</recordCreationDate>
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