Abstract
The medical waste management is of great importance because of the 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 reusing, remanufacturing and materials recycling, requires a specially structured reverse logistics network in order to collect the medical waste efficiently. This paper presents a Mixed Integer Linear Programming model with minimizing costs for medical waste reverse logistics networks. The total costs for reverse logistics include transportation cost, fixed cost of opening the collecting centers and processing centers and operation cost at these facilities over finite planning horizons. An improved genetic algorithm method with a hybrid encoding rule is used to solve the proposed model. 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 manufacture.
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References
Shinee, E., Gombojav, E., Nishimura, A., Hamajima, N., Ito, K.: Healthcare Waste Management in the Capital city of Mongolia. Waste management 28, 435–444 (2008)
Baveja, G., Muralidhar, S., Aggarwal, P.: Medical Waste Management – An Overview. Hospital Today, 485–486 (2000)
Liu, C.-b.: Current Situation of Disposing Medical Waste and Developing Method in China. China Environmental Management, 37–38 (2003) (in Chinese)
Geng, R.: Study on Current Situation and the Strategies of Medical Waste Disposal in Jiaozuo City. China Environmental Management special issue, 57–58 (2006) (in Chinese)
Wang, Y.-h.: Study on the Potential Hazard and Control Measures of Medical Waste in Nanchang. Preventative Medicine, 2216–2218 (2008) (in Chinese)
Jahre, M.: Household Waste Collection as a Reverse Channel - A Theoretical Perspective. International Journal of Physical Distribution and Logistics Management, 39–55 (1995)
Beullens, P., Van Oudheusden, D., Van Wassenhove, L.N.: Collection and Vehicle Routing Issues in Reverse Logistics. In: Dekker, R., Fleischmann, M., Inderfurth, K., Van Wassenhove, L.N. (eds.) Reverse logistics: Quantitative Models for Closed-Loop Supply Chains. Springer, Berlin (2003)
Carter, C., Ellram, L.: Reverse Logistics:A Review of the Literature and Framework for Future Investigation. Journal of Business Logistics, 85–102 (1998)
Louwers, D., Bert, K.J., Edo, P., Frans, S., Simme, D., Flapper., P.: A Facility Location Allocation Model for Reusing Carpet Materials. Computers & Industrial Engineering, 855–869 (1999)
Bloemhof Ruwaard, J., Fleischmann, M., Nunen., J.: Reviewing Distribution Issues in Reverse Logistics. In: Speranza, M., Stohly, P. (eds.) New Trends in Distribution Logistics. Springer, NewYork (1999)
De Koster, R.B.M., De Brito, M.P., Van de Vendel M.A.: Return Handling: An Exploratory Study with Nine Retailer Warehouses. International Journal of Retail and Distribution Management, 407-421 (2002)
Listes, O.: A Decomposition Approach to a Stochastic Model for Supply and Return Network Design. Econometric Institute Reports EI (2002)
Beamon, B.A., Fernandes, C.: Supply-Chain Network Configuration for Product Recovery. Production Planning and Control, 270–281 (2004)
Santoso, T., Ahmed, S., Goetschalckx, M., Shapiro, A.: A Stochastic Programming Approach for Supply Chain Network Design under Uncertainty. European Journal of Operational Research, 96–115 (2005)
Listes, O., Dekker, R.: Stochastic Approaches for Product Recovery Network Ddesign: A Case Study. Econometric Institute Report EI (2001)
Hu, T.-L., Sheu, J.-B., Huang, K.-H.: A Reverse Logistics Cost Minimization Model for the Treatment of Hazardous Wastes. Transportation Research Part E, 457–473 (2002)
Salema, M.I., Barbosa, A.P., Novais, A.Q.: A Strategic and Tactical Model for Closed-Loop Supply Chains. In: EURO Winter Institute on Location and Logistics, Estoril, Portugal, pp. 361–386 (2007)
Zhang, L.Y., Zhang, H.F., Wang, Z.P.: An Improved Model of Mixed Integer Programming for Reverse Logistics Network Planning. Industrial Engineering Journal, 90–94 (2006)(in chinese)
Zhao, X.Y., Peng., P.: An Optimization Model with Fuzzy Linear Programming for E-waste Recycling Network Planning,[J]. Industrial Engineering Journal, 62–66 (2007) (in Chinese)
Pati, R., Vrat, P., Kumar., P.: A Goal Programming Model for Paper Recycling System, Omega (2006)
Goldberg, D.E.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Reading (1989)
Gen, M., Cheng, R.: Genetic Algorithms and Engineering Optimizations. Wiley, New York (2000)
Ko, H.J., Evans, G.W.: A Genetic Algorithm-Based Heuristic for the Dynamic Integrated Forward/Reverse Logistics Network for 3PLs. Computers & Operations Research, 346–366 (2007)
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Shi, L., Fan, H., Gao, P., Zhang, H. (2009). Network Model and Optimization of Medical Waste Reverse Logistics by Improved Genetic Algorithm. In: Cai, Z., Li, Z., Kang, Z., Liu, Y. (eds) Advances in Computation and Intelligence. ISICA 2009. Lecture Notes in Computer Science, vol 5821. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04843-2_6
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DOI: https://doi.org/10.1007/978-3-642-04843-2_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04842-5
Online ISBN: 978-3-642-04843-2
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