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PREEMPTIVE GOAL PROGRAMMING FOR SOLVING THE MULTI-CRITERIA DISASSEMBLY-TO-ORDER PROBLEM UNDER STOCHASTIC YIELDS, LIMITED SUPPLY, AND QUANTITY DISCOUNT.

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Title: PREEMPTIVE GOAL PROGRAMMING FOR SOLVING THE MULTI-CRITERIA DISASSEMBLY-TO-ORDER PROBLEM UNDER STOCHASTIC YIELDS, LIMITED SUPPLY, AND QUANTITY DISCOUNT.
Authors: Massoud, Amre Z.1 massoud.a@neu.edu, Gupta, Surendra M.1 gupta@neu.edu
Source: Proceedings for the Northeast Region Decision Sciences Institute (NEDSI). 2010, p415-420. 6p. 1 Diagram, 7 Charts.
Subject Terms: *Uncertainty (Information theory), *Stochastic analysis, Disassemblers (Computer programs), Technology & society, Technology & civilization
Abstract: This paper considers the disassembly-to-order (DTO) problem where end-of-life (EOL) products are purchased for disassembly in order to satisfy the demand for specified numbers of components. Previous work in the literature solved the DTO problem with multiple uncertainties under a single objective while others solved the multi-criteria model with a single uncertainty. This paper develop a multi-criteria DTO model that would takes into consideration multiple system uncertainties and variability. The multi-criteria DTO model was solved using preemptive goal programming (PGP). The main objective was to determine optimal number of take-back EOL products in every period from each supplier in order to satisfy the demand of components and materials while trying to achieve the aspiration levels of multiple goals. A numerical example is considered to illustrate the model approach. [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.)
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  Data: PREEMPTIVE GOAL PROGRAMMING FOR SOLVING THE MULTI-CRITERIA DISASSEMBLY-TO-ORDER PROBLEM UNDER STOCHASTIC YIELDS, LIMITED SUPPLY, AND QUANTITY DISCOUNT.
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  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, p415-420. 6p. 1 Diagram, 7 Charts.
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  Data: *<searchLink fieldCode="DE" term="%22Uncertainty+%28Information+theory%29%22">Uncertainty (Information theory)</searchLink><br />*<searchLink fieldCode="DE" term="%22Stochastic+analysis%22">Stochastic analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Disassemblers+%28Computer+programs%29%22">Disassemblers (Computer programs)</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+%26+society%22">Technology & society</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+%26+civilization%22">Technology & civilization</searchLink>
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  Data: This paper considers the disassembly-to-order (DTO) problem where end-of-life (EOL) products are purchased for disassembly in order to satisfy the demand for specified numbers of components. Previous work in the literature solved the DTO problem with multiple uncertainties under a single objective while others solved the multi-criteria model with a single uncertainty. This paper develop a multi-criteria DTO model that would takes into consideration multiple system uncertainties and variability. The multi-criteria DTO model was solved using preemptive goal programming (PGP). The main objective was to determine optimal number of take-back EOL products in every period from each supplier in order to satisfy the demand of components and materials while trying to achieve the aspiration levels of multiple goals. A numerical example is considered to illustrate the model approach. [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.)
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 6
        StartPage: 415
    Subjects:
      – SubjectFull: Uncertainty (Information theory)
        Type: general
      – SubjectFull: Stochastic analysis
        Type: general
      – SubjectFull: Disassemblers (Computer programs)
        Type: general
      – SubjectFull: Technology & society
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      – SubjectFull: Technology & civilization
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      – TitleFull: PREEMPTIVE GOAL PROGRAMMING FOR SOLVING THE MULTI-CRITERIA DISASSEMBLY-TO-ORDER PROBLEM UNDER STOCHASTIC YIELDS, LIMITED SUPPLY, AND QUANTITY DISCOUNT.
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            NameFull: Massoud, Amre Z.
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            NameFull: Gupta, Surendra M.
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              M: 03
              Text: 2010
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              Y: 2010
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            – TitleFull: Proceedings for the Northeast Region Decision Sciences Institute (NEDSI)
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