• DocumentCode
    1615737
  • Title

    An integer programming model for prescribing material recovery strategies

  • Author

    Das, Sanchoy ; Yedlarajiah, Deepak

  • Author_Institution
    Multi Life-Cycle Eng. Res. Center, New Jersey Inst. of Technol., Newark, NJ, USA
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    118
  • Lastpage
    122
  • Abstract
    A disposed product is comprised of several parts, each of which may have some material value or reuse. The goal of a disassembly operation is to retrieve these valuable parts and then forward them to the appropriate recycling streams. From a disassembly perspective the problem then is to determine which parts to retrieve from the product, and then which bin to dispose the retrieved part to. Often parts are retrieved as subassemblies and disposed as a whole. This problem is combinatorial in nature and is amenable to mathematical modeling, since a variety of disposable options are possible. In this paper we present the optimal part disposal (OPD) model for solving the above problem. The OPD is formulated as a mixed integer program and maximizes the net profit from the disposal action. The OPD can be incorporated in a DFE tool to improve the recycling yield of new products.
  • Keywords
    integer programming; recycling; LINGO; disassembly costs; disassembly operation; disassembly perspective; disassembly process modelling; disassembly revenues; disposable options; electronics demanufacturing facility; integer programming model; material recovery strategies; mathematical modeling; mixed integer program; net profit maximisation; new products recycling yield; optimal part disposal model; recycling; recycling streams; subassemblies; Costs; Forward contracts; Impurities; Joining processes; Linear programming; Marketing and sales; Mathematical model; Mathematical programming; Recycling; Sensitivity analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics and the Environment, 2002 IEEE International Symposium on
  • ISSN
    1095-2020
  • Print_ISBN
    0-7803-7214-X
  • Type

    conf

  • DOI
    10.1109/ISEE.2002.1003251
  • Filename
    1003251