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  <titleInfo>
    <title>Comparative analysis and selection of databases for computer integrated manufacturing systems</title>
  </titleInfo>
  <name type="personal">
    <namePart>Islam, Md. Anwarul</namePart>
    <role>
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  <name type="personal">
    <namePart>Batanov, Dentcho N.</namePart>
    <role>
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  <name type="personal">
    <namePart>Tabucanon, Mario T.</namePart>
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  <name type="personal">
    <namePart>Bohez, Erik L.J.</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>Canadian International Development Agency (CIDA)</namePart>
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      <roleTerm type="text">Scholarship Donor</roleTerm>
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    <place>
      <placeTerm type="text">Bangkok</placeTerm>
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    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>1992</dateIssued>
    <issuance>monographic</issuance>
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    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <abstract>Computer Integrated Manufacturing (CIM) is a promising concept to enhance the  productivity and flexibility of enterprises through the integration of all activities of a  manufacturing firm to remain competent in competitive environment. The integration of functions  means not only the physical connections of hardware, but the data communication and data  sharing among sub-systems. The database is the heart of integration. To date researchers have  been unable to present a concrete data model and database architecture to support the CIM  system.  The problem undertaken in this study is to select the appropriate database models best  suitable to support all sub-systems of CIM. In this work, the database model is proposed based  on data analysis of the manufacturing system. From the data analysis, a CIM data model has been  developed which ultimately led to derive the database requirement for generic CIM systems. The  selection criteria for the CIM database is established from this database requirement. The  available database models are evaluated critically in the context of each and every selection·  criteria. Finally the database model is selected using multi-criteria technique Analytic Hierarchic  Process (AHP).  Finally the two closely and most compatible database models are implemented on Bill of  Materials (BOM) and Material Requirement Planning (MRP) modules to prove the superiority of  object-oriented database over relational database in the context of CIM systems.</abstract>
  <note>A thesis submitted 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, 1992</note>
  <subject authority="lcsh">
    <topic>Computer integrated manufacturing systems</topic>
  </subject>
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    <titleInfo>
      <title>Thesis ; no. IE-92-18</title>
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      <namePart>Asian Institute of Technology.</namePart>
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