A Bi-Objective Reverse Logistics Network Design Under the Emission Trading Scheme
A Bi-Objective Reverse Logistics Network Design Under the Emission Trading Scheme
复制标题
排污权交易方案下双目标逆向物流网络设计
DOI：
10.1109/access.2019.2898213
复制
发表时间：
2019-01-01
期刊：
影响因子：
3.9
通讯作者：
Jiang, Bin
中科院分区：
文献类型：
--
作者：
Yuchi, Qunli;Wang, Nengmin;Jiang, Bin
一般来说，逆向物流网络设计的驱动力是降低成本和改善客户服务的需求，而不考虑其对环境的影响。在本文中，我们解决了逆向物流网络设计问题的碳排放。针对载重轮胎再制造产业中不同的操作技术和运输方式，建立了一个双目标、混合整数、非线性规划模型。一种改进的非支配排序遗传算法II（NSGA-II）解决了这个NP难问题的双目标。数值算例验证了所提模型的有效性和改进NSGA-II相对于基本NSGA-II的优势。此外，我们进行了广泛的敏感性分析，并得出了一些管理见解。
In general, reverse logistics network design has been driven by a need to reduce costs and to improve customer service without considering its environmental impact. In this paper, we address a reverse logistics network design problem regarding carbon emission. The problem is formulated as a bi-objective, mixed-integer, and nonlinear programming model under various operation technologies and transport modes in the truck tire remanufacturing industry. An improved non-dominated sorting genetic algorithm II (NSGA-II) solves this NP-hard problem with bi-objectives. The numerical cases demonstrate the validation of the proposed model and the advantage of improved NSGA-II over the basic NSGA-II. Furthermore, we conducted extensive sensitivity analysis, and several managerial insights are derived.