An improved multi-objective 0-1 mixed-integer linear programming model for the locationrnrouting problem in hazardous waste logistics was proposed, in which the optimization objectives are to rnminimize total costs and risks, and the constraints include waste types and treatment technologies,rncapacity and operation costs of treatment centers. A TOPSIS ( technique for order preference by rnsimilarity to an ideal solution) algorithm was designed to solve this multi-objective model. The rnfeasibility and advantage of the proposed model was demonstrated through a representative example rntaken from literature. Comparing with an exiting model, the proposed model reduced the risk by rn7. 69％ at the expense of a little rise in cost by 0. 70％ .%为了解决危险废物回收、加工和处理中心选址问题,确定加工技术类别、安排危险废物和废物残余车辆运输路径,将回收环节纳入危险废物物流系统,考虑废物类型与加工技术的多样性、中心运营费用、废物与加工技术的相容性以及中心能力富余量约束,以费用和风险最小化为优化目标,建立了危险废物物流系统的改进多目标0-1混合整数线性规划模型.采用TOPSIS(technique for order preference by similarity to an ideal solution)方法求解模型.结果表明,与现有模型相比,本文模型的多目标优化方案以增加0.70%的费用为代价,将风险降低7.69%.
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