模糊环境下第三方物流供应商危险废物逆向物流网络设计

Zhang Yong, Li Xuhong, Mao Haijun, Ma Chenglin
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引用次数: 9

摘要

不确定性是逆向物流系统设计的重要特征,这是由于逆向物流系统环境的动态性和系统复杂性的不断增加。本文的目标是提出第三方物流供应商(3PLS)在模糊不确定环境下设计高效、有效的危险废物逆向物流网络的模型和算法。考虑成本效益和风险最小化的危险废物逆向物流网络,提出了一种多类型危险废物、模糊多目标、容量化的第三方物流设施选址模型。在模糊模型中应用三角模糊数来描述危险废物处理量、危险废物事故概率和单位运输成本的不确定性。为了求解模糊模型,首先结合目标满足函数、切分理论和可拓原理,将模糊多目标模型转化为两个清晰的单目标模型。然后,我们建立了一种混合遗传算法来解决脆单目标模型。数值算例表明,模糊数的置信度、目标权重和目标满意函数影响决策结果,证明了模糊模型和算法用于第三方物流公司设计危险废物逆向物流网络的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing a Hazardous Waste Reverse Logistics Network for Third Party Logistics Supplier under the Fuzzy Environment
Uncertainty is the important characteristic of the reverse logistics system design due to the dynamic environment and the increasing systemic complexity. This objective of this paper is to present the model and algorithm for third party logistics supplier (3PLS) to design the efficient and effective hazardous waste reverse logistics network under the fuzzy and uncertain environment. We proposed a multi-type hazardous waste, fuzzy multi-objective and capacitated facility location model for 3PLS considering cost-effective and risk-minimizing hazardous waste reverse logistics network. We applied the triangular fuzzy numbers to describe the uncertainty of the disposal quantity of hazardous wastes, accident probability of hazardous wastes and the unit transportation cost in the fuzzy model. To solve the fuzzy model, we firstly converted the fuzzy multi-objective model into two, crisp, single-objective models by combining the goal satisfactory function, ¿-cut theory and extending principle. Then we founded a hybrid genetic algorithm to solve the crisp single objective model. The numerical example shows that the confidence of fuzzy numbers, the goal weighting and the goal satisfactory function affect the decision results, and that the feasibility of the fuzzy model and algorithm for 3PLS to design a hazardous waste reverse logistics network.
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