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An Improved Bi-Objective Stochastic Model with SAA-based Solution Method for Reverse Logistics Design of Hazardous Materials

机译:基于SAA的改进的双目标随机模型用于危险品逆向物流设计

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Nowadays, the unprecedented advancement in technology and rapid development of economy have not only brought opportunities for improving people's living standards but also resulted in a tremendous increase on waste generation. The treatment of hazardous materials from both industrial sectors and households has become one of the most significant challenges in waste management. Because of the negative impact on the environment and the safety issues posed to the nearby residents, the design of a hazardous material management system is, however, a complicated decision-making problem. Thence, an improved bi-objective stochastic model is proposed to design a single-product multistage reverse logistics system for hazardous materials under uncertainties from different input information. Moreover, a sample average approximation (SAA) based solution method is also proposed so as to find out the Pareto optimal solutions to the model under a stochastic environment. The results of the numerical experimentations illustrate the tradeoff between economic efficiency and system risk in reverse logistics design of hazardous materials. In addition, the impact from uncertainties related to the input information is also revealed.
机译:如今,技术的空前发展和经济的飞速发展不仅为改善人们的生活水平带来了机遇,而且还大大增加了废物的产生。来自工业部门和家庭的有害物质的处理已成为废物管理中最重大的挑战之一。由于对环境的负面影响以及附近居民的安全问题,因此,有害物质管理系统的设计是一个复杂的决策问题。因此,提出了一种改进的双目标随机模型,用于在不确定的情况下,根据不同的输入信息设计用于危险物料的单产品多阶段逆向物流系统。此外,还提出了一种基于样本平均逼近的求解方法,以找出随机环境下模型的帕累托最优解。数值实验的结果说明了有害物质逆向物流设计中经济效率与系统风险之间的权衡。另外,还揭示了来自与输入信息有关的不确定性的影响。

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