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  <titleInfo>
    <title>Fleet sizing incorporated vehicle routing for LPG distribution in Hochiminh city</title>
  </titleInfo>
  <name type="personal">
    <namePart>Truong Hoang Tu</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Pandey, P.C.</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Huynh, Ngoc Phien</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Shanker, Kripa</namePart>
    <role>
      <roleTerm type="text">Examination committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>Petro Vietnam Corporation</namePart>
    <role>
      <roleTerm type="text">Scholarship donor</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <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>1998</dateIssued>
    <issuance>continuing</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>62, 35 p.</extent>
  </physicalDescription>
  <abstract>In this study, a solution for a large scale fleet sizing vehicle routing problem ( FS VRP ) has  been presented which occurs in a major LPG distribution company in Hochiminh City. The  company serves more than 200 customers with different amounts of order and at different  frequency. The schedule needs to be made over one week horizon. Optimal fleet size is also  considered in the general context that minimizes the total distribution cost.  A mathematical model of the type mixed integer program ( MIP ) is applicable to very small  size problems ( composed of from five to ten customers on two days ). Mathematical approach  has proved to be impractical for real life situations.  Therefore, a tabu search based heuristic which consists of three phases has been proposed. In  phase 1, a goal programming model to decompose a multiple period VRP into some single  period VRPs has been established. Phase 2 determines a set of routes which are required to  visit all customers each day of the period. Dispatching of routes to vehicles in the fleet has  been presented in phase 3. Tabu search technique is applied for phase 2 and phase 3 .  As an outcome of the heuristic, the number of trucks, the number of customers each day and  the sequence of each delivery route are obtained. Tabu search heuristic is tested with some  available benchmark problems. In all cases, it obtains exactly the same or very close to the  best solution known. Some elements of tabu search are also studied in order to improve the  quality of search process.</abstract>
  <note>A thesis submitted  in  partial  fulfilment  of  the  requirements  for  the  degree  of  Master  of  Engineering, School of Advanced Technologies</note>
  <note>Thesis (M.Eng.) - Asian Institute of Technology, 1998</note>
  <subject authority="lcsh">
    <topic>Operations research</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Motor vehicle fleets</topic>
  </subject>
  <relatedItem type="series">
    <titleInfo>
      <title>Thesis ; no. ISE-98-39</title>
    </titleInfo>
    <name type="corporate">
      <namePart>Asian Institute of Technology.</namePart>
      <namePart/>
    </name>
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  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B13347</identifier>
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    <url displayLabel="Full-Text">http://203.159.5.9/ait-thesis/detail.php?q=B13347</url>
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    <recordCreationDate encoding="marc">150799</recordCreationDate>
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