Conference
Προβολή σε EDS

AN OPTIMIZATION FRAMEWORK FOR ADVANCED DISASSEMBLY/REPAIR-TOORDER SYSTEMS WITH REMAINING-LIFE ADJUSTMENT.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: AN OPTIMIZATION FRAMEWORK FOR ADVANCED DISASSEMBLY/REPAIR-TOORDER SYSTEMS WITH REMAINING-LIFE ADJUSTMENT.
Συγγραφείς: Onder Ondemir1 ondemir.o@neu.edu, Surendra Gupta1 gupta@neu.edu
Πηγή: Proceedings for the Northeast Region Decision Sciences Institute (NEDSI). 2010, p421-426. 6p. 4 Charts.
Θεματικοί όροι: *Uncertainty (Information theory), Disassemblers (Computer programs), Structural optimization, Detectors, Heuristic algorithms
Περίληψη: Due to environmental awareness and realization of cost savings, disassembly-to-order (DTO) concept has become popular. One of the main obstacles to making optimal DTO decisions is the uncertainty involved in end-of-life products (EOLPs). This uncertainty is due to the lack of information about the condition and the quantity of EOLPs returned. This uncertainty is removed by advanced disassembly/repair-to-order systems utilizing sensors to monitor the products in their life-cycle. Sensor technology enables remaining life estimation, thus allows advanced DTO models to deal with sophisticated component and product demands with remaining life adjustment. This paper presents an optimization framework for advanced disassembly/repair-to-order (ADRTO) systems. The method is compared with a TABU search based heuristic algorithm. [ABSTRACT FROM AUTHOR]
Copyright of Proceedings for the Northeast Region Decision Sciences Institute (NEDSI) is the property of Northeast Decision Sciences Institute and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Business Source Index
FullText Text:
  Availability: 0
Header DbId: bsx
DbLabel: Business Source Index
An: 51301442
RelevancyScore: 1186
AccessLevel: 6
PubType: Conference
PubTypeId: conference
PreciseRelevancyScore: 1186.3779296875
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: AN OPTIMIZATION FRAMEWORK FOR ADVANCED DISASSEMBLY/REPAIR-TOORDER SYSTEMS WITH REMAINING-LIFE ADJUSTMENT.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Onder+Ondemir%22">Onder Ondemir</searchLink><relatesTo>1</relatesTo><i> ondemir.o@neu.edu</i><br /><searchLink fieldCode="AR" term="%22Surendra+Gupta%22">Surendra Gupta</searchLink><relatesTo>1</relatesTo><i> gupta@neu.edu</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Proceedings+for+the+Northeast+Region+Decision+Sciences+Institute+%28NEDSI%29%22">Proceedings for the Northeast Region Decision Sciences Institute (NEDSI)</searchLink>. 2010, p421-426. 6p. 4 Charts.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Uncertainty+%28Information+theory%29%22">Uncertainty (Information theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Disassemblers+%28Computer+programs%29%22">Disassemblers (Computer programs)</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+optimization%22">Structural optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Detectors%22">Detectors</searchLink><br /><searchLink fieldCode="DE" term="%22Heuristic+algorithms%22">Heuristic algorithms</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Due to environmental awareness and realization of cost savings, disassembly-to-order (DTO) concept has become popular. One of the main obstacles to making optimal DTO decisions is the uncertainty involved in end-of-life products (EOLPs). This uncertainty is due to the lack of information about the condition and the quantity of EOLPs returned. This uncertainty is removed by advanced disassembly/repair-to-order systems utilizing sensors to monitor the products in their life-cycle. Sensor technology enables remaining life estimation, thus allows advanced DTO models to deal with sophisticated component and product demands with remaining life adjustment. This paper presents an optimization framework for advanced disassembly/repair-to-order (ADRTO) systems. The method is compared with a TABU search based heuristic algorithm. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Proceedings for the Northeast Region Decision Sciences Institute (NEDSI) is the property of Northeast Decision Sciences Institute and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsx&AN=51301442
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 6
        StartPage: 421
    Subjects:
      – SubjectFull: Uncertainty (Information theory)
        Type: general
      – SubjectFull: Disassemblers (Computer programs)
        Type: general
      – SubjectFull: Structural optimization
        Type: general
      – SubjectFull: Detectors
        Type: general
      – SubjectFull: Heuristic algorithms
        Type: general
    Titles:
      – TitleFull: AN OPTIMIZATION FRAMEWORK FOR ADVANCED DISASSEMBLY/REPAIR-TOORDER SYSTEMS WITH REMAINING-LIFE ADJUSTMENT.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Onder Ondemir
      – PersonEntity:
          Name:
            NameFull: Surendra Gupta
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: 2010
              Type: published
              Y: 2010
          Titles:
            – TitleFull: Proceedings for the Northeast Region Decision Sciences Institute (NEDSI)
              Type: main
ResultId 1