Research On Reverse Logistics Network Of Medical Waste

With the rapid development of economy and the constant promotion and deepening of medical reform policies,the people’s demand for medical and health care is growing.As a result,the annual production of medical waste keeps increasing,and the correct and reasonable disposal of medical waste is one of the urgent problems in China.However,in recent years,there have been some news about the illegal processing of medical waste.These illegal processing workshops turn medical waste into children’s toys,tableware and some disposable goods by simple and crude processing.Medical waste is put back into the consumer market without strict disinfection and sterilization,which not only causes great harm to the people it comes into contact with,but also causes great pollution to the environment and wastes part of recyclable resources.In view of this practical problem,it is necessary to establish a reasonable reverse logistics network for medical waste in order to achieve standardized recovery and treatment of medical waste.In this paper,based on the analysis of relevant research literature at home and abroad,combined with the current situation of medical waste treatment in China,the existing problems in the reverse logistics of medical waste recovery and treatment in China were put forward,and the reverse logistics network in line with the particularity of medical waste was established.The reverse logistics network hierarchy consists of three layers: recovery layer,detection and processing layer,and disposal layer.The recovery layer is mainly responsible for reasonable recovery of medical waste and simple classification and packaging.The detection and treatment layer is mainly used to detect the toxicity and harmfulness of the medical waste collected and transported in the recovery layer,and detect whether there is any reuse value,etc.,and conduct non-toxic and harmless treatment on the toxic waste,and then send the waste to the disposal layer.The disposal floor has two functional nodal facilities,the reprocessing center and the landfill.The reprocessing center receives the waste with utilization value sent by the testing and treatment center,while the waste without utilization value is directly sent to the landfill.Because the quantity of medical waste is uncertain: seasonal,epidemic and other factors;The corresponding level of each medical institution is different,the main business is different,the patient condition of the same medical institution is not the same every day and other factors;Are likely to lead to the production of medical waste with great uncertainty.For the establishment of the model of the reverse logistics network of medical waste,the uncertainty of the production of medical waste has a great impact on the site selection and path planning of the node of the reverse logistics network.Therefore,for this medical waste reverse logistics network,the planning model of medical waste reverse logistics network with fuzzy parameters with the goal of minimizing cost was established taking the uncertainty of production into consideration,and the genetic algorithm was designed to solve and analyze the model.Finally,taking xi ’an city as an example,this paper analyzes the recovery and treatment of medical waste in xi ’an city on the basis of field investigation.Combining the field survey and expert opinion,the model parameters are set,the medical waste production clarifications,using Matlab software to solve the model,the xi ’an medical waste reverse logistics network design model: six detection processing center,1 again processing center,1 landfill plant,compared with before optimization of comprehensive treatment facilities,facilities more accurate service scope clear,can effectively reduce medical waste in the accumulation of time,medical institutions to reduce the likelihood of infectious medical waste;Within a cycle of recycling,the optimized reverse logistics network of medical waste can save 56% of the cost compared with the current original reverse logistics network,thus verifying the rationality and effectiveness of the model and algorithm design of the reverse logistics network of medical waste.