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
Link To Document :
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