• DocumentCode
    2287313
  • Title

    A mixed integer linear programming for medical waste reverse logistics network design

  • Author

    Shi, Li-Hong

  • Author_Institution
    Transp. Manage. Coll., Dalian Maritime Univ., Dalian, China
  • fYear
    2009
  • fDate
    14-16 Sept. 2009
  • Firstpage
    1971
  • Lastpage
    1975
  • Abstract
    The medical waste management is of great importance due to its potential environmental hazards and public health risks. Manufacturers have to collect the medical waste and control its recovery or disposal. Medical waste recovery, which encompasses reuse, remanufacturing and materials recycling, requires a specially structured reverse logistic network in order to collect medical waste efficiently. This paper has attempted to apply the basic theories of reverse logistics to improve the effect of medical waste management. We presents a mixed integer linear programming model of reverse logistics networks for returned medical waste. The efficiency and practicability of the proposed model is validated by an application to an illustrative example dealing with medical waste returned from some hospitals to a given medical materials producer.
  • Keywords
    health care; health hazards; industrial waste; integer programming; linear programming; recycling; reverse logistics; risk management; waste recovery; environmental hazard; health care industry; material recycling; medical waste management; medical waste recovery; medical waste reverse logistics network design; mixed integer linear programming; public health risk; remanufacturing; Hazards; Hospitals; Manufacturing; Mixed integer linear programming; Public healthcare; Recycling; Reverse logistics; Waste management; Waste materials; Waste recovery; medical waste; mixed integer linear programming; network; reverse logistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering, 2009. ICMSE 2009. International Conference on
  • Conference_Location
    Moscow
  • Print_ISBN
    978-1-4244-3970-6
  • Electronic_ISBN
    978-1-4244-3971-3
  • Type

    conf

  • DOI
    10.1109/ICMSE.2009.5317680
  • Filename
    5317680