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Integration of Artificial Neural Networks and Simulation Modeling in a Decision Support System

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Title: Integration of Artificial Neural Networks and Simulation Modeling in a Decision Support System
Authors: LeCroy, Kenney
Committee Members: Mollaghasemi, Mansooreh; Mollaghasemi, Mansooreh [VIAF] Mollaghasemi, Mansooreh [LC] University of Central Florida. College of Engineering [VIAF] University of Central Florida. College of Engineering [LC]
Summary: A simulation based decision support system is developed for AT&T Microelectronics in Orlando. This system uses simulation modeling to capture the complex nature of semiconductor test operations. Simulation, however, is not a tool for optimization by itself. Numerous executions of the simulation model must generally be performed to narrow in on a set of proper decision parameters. As a means of alleviating this shortcoming, artificial neural networks are used in conjunction with simulation modeling to aid management in the decision making process. The integration of simulation and neural networks in a comprehensive decision support system, in effect, learns the reverse of the simulation process. That is, given a set of goals defined for performance measures, the decision support system suggests proper values for decision parameters to achieve those goals.
URL: https://stars.library.ucf.edu/rtd/3476
Database: OpenDissertations
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  Availability: 0
Header DbId: ddu
DbLabel: OpenDissertations
An: ddu.oai.stars.library.ucf.edu.rtd.4475
AccessLevel: 6
PubType: Dissertation/ Thesis
PubTypeId: dissertation
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Integration of Artificial Neural Networks and Simulation Modeling in a Decision Support System
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22LeCroy%2C+Kenney%22">LeCroy, Kenney</searchLink>
– Name: Author
  Label: Committee Members
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  Data: <searchLink fieldCode="CO" term="%22Mollaghasemi%2C+Mansooreh%22">Mollaghasemi, Mansooreh</searchLink>; <searchLink fieldCode="CO" term="%22Mollaghasemi%2C+Mansooreh+[VIAF]+Mollaghasemi%2C+Mansooreh+[LC]+University+of+Central+Florida%2E+College+of+Engineering+[VIAF]+University+of+Central+Florida%2E+College+of+Engineering+[LC]%22">Mollaghasemi, Mansooreh [VIAF] Mollaghasemi, Mansooreh [LC] University of Central Florida. College of Engineering [VIAF] University of Central Florida. College of Engineering [LC]</searchLink>
– Name: Abstract
  Label: Summary
  Group: Ab
  Data: A simulation based decision support system is developed for AT&T Microelectronics in Orlando. This system uses simulation modeling to capture the complex nature of semiconductor test operations. Simulation, however, is not a tool for optimization by itself. Numerous executions of the simulation model must generally be performed to narrow in on a set of proper decision parameters. As a means of alleviating this shortcoming, artificial neural networks are used in conjunction with simulation modeling to aid management in the decision making process. The integration of simulation and neural networks in a comprehensive decision support system, in effect, learns the reverse of the simulation process. That is, given a set of goals defined for performance measures, the decision support system suggests proper values for decision parameters to achieve those goals.
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Neural-network metamodels
        Type: general
      – SubjectFull: Inverse mapping from performance goals to decision parameters
        Type: general
      – SubjectFull: Semiconductor test-facility simulation
        Type: general
      – SubjectFull: Simulation-driven parameter tuning
        Type: general
      – SubjectFull: Decision-support automation for production testing
        Type: general
      – SubjectFull: Engineering
        Type: general
      – SubjectFull: Industrial Engineering
        Type: general
      – SubjectFull: Neural networks (Computer science)--Computer simulation; Decision support systems--Computer programs; Decision support systems--Mathematical models; Decision making--Simulation methods; Microelectronics--Simulation methods
        Type: general
    Titles:
      – TitleFull: Integration of Artificial Neural Networks and Simulation Modeling in a Decision Support System
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: LeCroy, Kenney
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 1994
ResultId 1