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  <titleInfo>
    <title>An optimal stock level and pricing strategy for perishable products under the VMI system</title>
  </titleInfo>
  <name type="personal">
    <namePart>Janthratip Khamwarut</namePart>
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  <name type="personal">
    <namePart>Huynh, Trung Luong</namePart>
    <role>
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  <name type="personal">
    <namePart>Manukid Parnichkun</namePart>
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      <roleTerm type="text">Examination Committee</roleTerm>
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  <name type="personal">
    <namePart>Mongkol Ekpanyapong</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>Royal Thai Government Fellowship</namePart>
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      <roleTerm type="text">Scholarship Donor</roleTerm>
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  <genre authority="marc">technical report</genre>
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    <place>
      <placeTerm type="text">Pathum Thani</placeTerm>
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    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>2024</dateIssued>
    <issuance>continuing</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>54 leaves : ill.+  1 online resource</extent>
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  <abstract>Vendor-managed inventory (VMI) is an approach used to ensure that perishable items  are always available while also improving operational efficiency and compliance with  quality standards. In this study, we study a new decision scenario concerning a  deteriorating item, focusing on the case of a single vendor and single retailer under  VMI system. We develop the mathematical model considering the base stock policy,  which will be implemented with a maximum stock level (S), with adjustments made  to discount prices based on shelf life to encourage a retailer to buy products. Demand  rates are influenced by pricing, assuming that the rate of deterioration for a  deteriorating item follows a Weibull distribution and a fully backlogged shortage. To  assess the efficacy of the proposed models, we conduct numerical experiments and  sensitivity analyses. These analyses aim to evaluate how changes in input variables  impact experimental outcomes and shed light on the effects of alterations in input  parameters on optimal solutions. Finally, we present the conclusions drawn from our  study, along with recommendations for future research. </abstract>
  <note>A thesis submitted in partial fulfillment of the requirements for the degree of  Master of Engineering in Industrial and Manufacturing Engineering</note>
  <note>Thesis (M. Eng.) - Asian Institute of Technology, 2024</note>
  <subject authority="lcsh">
    <topic>Inventory control</topic>
    <topic>Mathematical models</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Weibull distribution</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Perishable goods</topic>
    <topic>Inventory control</topic>
  </subject>
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    <titleInfo>
      <title>Thesis ; no. ISE-24-04</title>
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