Designing a Reverse Logistics Network Model for Waste Batteries

The logistics industry plays an important role in circular economy.Therefore,not only economic benefits,but also environmental protection factors have to be considered in reverse logistics.This paper uses the multi-objective 0-1 mixed integer programming to establish a reverse logistics network optimization model for waste batteries.The objective function is to minimize both,logistics costs and carbon dioxide emissions.The model considers the basic settings of reverse logistics(including recycling nodes,manufacturing,and processing nodes)and the material flow between different settings.In solving the model,Lingo 14.0 is used in this paper.An actual case of a waste battery reverse logistics enterprise verifies the effectiveness of the model in this paper.The results show that the application of this model can effectively improve the operating efficiency of waste battery reverse logistics enterprises.

Facility location model for a remanufacturing logistics network

First a remanufactming logistics network is con- structed, in which the structure of both the forward logistics and the reverse logistics are of two levels and all the logistics facilities are capacitated. Both the remanufactming products and the new products can be used to meet the demands of customers. Moreover, it is assumed that homogeneous facilities can be designed together into integrated ones, based on which a mixed integer nonlinear programming （MINLP） facility location model of the remanufacturing logistics network with six types of facilities to be sited is built. Then an algorithm based on enumeration for the model is given. The feasible combinations of binary variables are searched by enumeration, and the remaining sub-problems are solved by the LP solver. Finally, the validities of the model and the algorithm are illustrated by means of an example. The result of the sensitivity analysis of parameters indicates that the integration of homogeneous facilities may influence the optimal solution of the problem to a certain degree.

Literature Review on Network Design Problems in Closed Loop and Reverse Supply Chains

The productivity of an organization is very much affected by non-value adding activity like logistics, which moves the resources from suppliers to factory, raw materials/semi-finished items within the factory and finished goods from factory to customers via a designated distribution channel called as forward logistics. In some cases, parts of the products such as automobiles, computers, cameras, mobile phones, washing machines, refrigerators, garments, footwear and empty glass bottles of beverages, etc. will be brought back to the factories as a product recovery strategy through reverse logistics network which is integrated in a sustainable closed loop supply chain network. So, it is highly essential to optimize the movement of the items in the reverse logistics network. This paper gives a comprehensive review of literature of the design of networks for the reverse logistics as well as for the reverse logistics coupled with forward logistics. The contributions of the researchers are classified into nine categories based on the methods used to design the logistics network.

An Integrated Multi-Echelon Model for a Sustainable Closed Loop Supply Chain Network Design

The integration of entire supply and value chain into a closed loop network is gaining more importance in recent times in order to ensure a business to be economically and environmentally sustainable with the changing trends in business and social environments, growing environmental consciousness in the society and government legislations to protect the environment as well as the business. In this context, this paper considers a multi-echelon closed loop supply chain network design with forward and reverse logistics components. An attempt has been made to develop a mixed integer non-linear programming model for this problem with different costs so that the sum of the total cost is minimized subject to different constraints pertaining to capacities of the entities of the system, demands of first customers and second customers. A generalized model is presented and then its application is illustrated using an example problem by solving the model using LINGO14. This model forms as a tool to compare future meta-heuristics to check the closeness of their solutions with corresponding optimal solutions.

Remanufacturing closed-loop supply chain network design based on genetic particle swarm optimization algorithm

As the huge computation and easily trapped local optimum in remanufacturing closed-loop supply chain network (RCSCN) design considered, a genetic particle swarm optimization algorithm was proposed. The total cost of closed-loop supply chain was selected as fitness function, and a unique and tidy coding mode was adopted in the proposed algorithm. Then, some mutation and crossover operators were introduced to achieve discrete optimization of RCSCN structure. The simulation results show that the proposed algorithm can gain global optimal solution with good convergent performance and rapidity. The computing speed is only 22.16 s, which is shorter than those of the other optimization algorithms.

考虑移动式处理的医疗废物回收网络优化

现有的医疗废物回收网络中未能结合移动式处理技术,存在过度依赖场外集中处置、源头处医疗废物产量大、偏远地区的医疗机构回收不及时等问题。为提高医疗废物的现场处置能力,减少运输过程中的感染风险和回收成本,提出“集中处置+移动式处理”的协同回收模式,构建了多车型两级车辆路径问题模型,通过改进的大邻域搜索算法(ALNS)得到最优回收方案。以武汉市的回收网络为例,设计并求解了大量算例,证明了算法的求解性能优于Gurobi。相较于现行的回收模式,协同回收最高能减少28.79%的感染风险,有利于回收网络的稳定运行。

建筑垃圾逆向物流网络优化研究——基于济南市的实证分析

随着城市化进程的加速,建筑垃圾的产生量日益增加,对环境和资源造成了巨大压力。文章以济南市为研究对象,采用建筑面积估算法对济南市建筑垃圾产量进行估算。以运输成本和处理成本之和最小为目标,构建济南市建筑垃圾回收物流网络模型,并借助LINGO求解器进行计算。最后基于求解结果,优化逆向物流网络,降低运输成本,提高处理效率,从而有效缓解济南市建筑垃圾处理压力。

考虑负外部性的动力电池可持续逆向物流网络优化

随着新能源汽车动力电池退役潮的到来,相关逆向物流设施的规模也在不断扩张,动力电池回收拆解中心及其附属活动带来的环境及社会负外部性也日益突出,亟须从可持续角度对退役动力电池逆向物流网络进行优化。考虑回收数量和再循环比例的不确定性,引入风险接受度函数(risk acceptance function,RAF),本文以成本最小化、碳排放量最小化和风险接受度最大化为目标构建多目标混合整数规划模型,通过大规模算例验证了模型与算法的有效性,并对参数进行敏感性分析。与单目标优化模型相比,多目标决策模型能有效促进经济、环境与社会三者协调发展;回收量置信水平的增大可引起成本、碳排放量的持续增加以及风险接受度的持续降低;再循环比例及其置信水平的增大可使得成本与碳排放量呈递减变化,以及风险接受度呈递增变化。

连云港报废农机逆向物流网络优化研究

为进一步有效推进报废农机的回收与更替,该文以连云港为例,构建了报废农机逆向物流网络优化模型。通过问卷调研和实地访谈收集数据,运用混合整数线性规划(MILP)方法建立以成本最小化为目标的数学模型,并利用LINGO软件进行求解。结果表明:连云港报废农机逆向物流网络应以东海县、灌云县、灌南县、赣榆区和海州区为回收点,选择东海县、灌云县及灌南县作为专业处理/再分销中心,可实现网络运营成本最小化。该研究结果为连云港及其他地区的废旧农机逆向物流网络建设和优化提供了理论参考和实践指导。

逆向物流研究的新进展:文献综述

由于环境保护和立法以及企业经营等方面的因素,逆向物流正成为一个热点研究领域。本文综述了自从2001年以来逆向物流研究领域在逆向网络结构设计、库存、逆向配送和产品规划等方面的新进展。最后总结了2001年后逆向物流研究新进展的特征,并提出了逆向物流的未来研究方向。

随机环境下再制造逆向物流网络优化设计

建立了在第三方逆向物流企业参与情况下的再制造逆向物流网络随机规划模型,给出了用期望值方法和机会约束规划方法求解模型的步骤。通过实例数值仿真,证明了该模型的可行性,揭示了回收量的波动对最优选址策略的影响。

固体废弃物逆向物流网络优化设计

针对固体废弃物的回收问题,构建了一个两层的逆向物流网络系统,研究了如何确定回收站和处理站的地址和数量,废弃物产生点的分配以及废弃物的存储和运输问题,建立了一个多目标的整数规划模型。最后用算例证明了模型的有效性。

废弃物回收的多层逆向物流网络优化设计问题研究

废弃物逆向物流网络设计问题是一个关系到经济效益和社会效益的问题。本文研究了废弃物逆向物流网络设计问题,包括选择中转站和处理站的地址,确定将产生点的废弃物分配给中转站以及从中转站运送到处理站的最佳策略,确定处理站的容量。考虑了在满足公众的意愿的情况下,建立了一个多目标的纯整数规划模型,最小化总的建设费用和设施对公众产生的负效用。设计了基于启发式的两阶段分解算法求解,从而构建一个废弃物回收的多层逆向物流网络。最后的算例仿真表明了算法的有效性和可行性。

逆向物流网络研究综述与展望

基于逆向物流的界定,对逆向物流网络的发展、特点、框架模型、规划设计进行综合评述。研究发现,普适性的逆向物流网络结构架构和多周期、动态性的逆向物流网络规划设计函需深入研究。

产品回收逆向物流网络优化设计模型

为了在传统正向物流网络基础上扩建产品回收逆向物流网络,基于混合整数线性规划方法建立了一种单产品、有能力限制的产品回收逆向物流网络优化设计模型,据此确定物流网络中各种设施的数量和位置,并在由此构成的各条物流路径上合理分配物流量,以使各种设施的投资和运营成本之和最小。给出了提高模型求解效率的Benders分解算法,并通过算例验证了模型和算法的有效性。

再制造逆向物流网络优化设计模型研究

本文在阐述再制造物流系统功能的基础上,对再制造物流网络布局进行了分析。提出了一种在传统生产分销物流网络基础上进行再制造物流网络优化设计的混合整数线性规划模型,目的是使各种再制造物流设施的投资和运营成本以及设施间的运输成本之和最小。

逆向物流网络结构与设计

阐述了逆向物流的概念及重要性,分析了逆向物流系统功能、逆向物流网络类型与结构,讨论了逆向物流网络设计问题。

产品回收多级逆向物流网络优化设计模型

为降低逆向物流成本,改善客户产品回收便利性,优化逆向物流网络中产品回收的渠道选择决策,在原有正向物流网络基础上,提出了包含初始收集点、集中回收中心和回收处理工厂三种物流设施的多级逆向物流网络。以总逆向物流成本最小为目标,兼顾各客户群的产品回收便利性,建立了0-1混合整数规划模型,实现逆向物流网络的选址/分配问题。应用遗传算法求解该模型。模拟算例表明,该算法有效且可行,为企业进行逆向物流网络设计提供可参考的模型和求解算法。

基于低碳的报废汽车逆向物流网络选址问题研究

基于低碳的报废汽车逆向物流网络选址问题研究是针对报废汽逆向物流网络的选址问题,在基于多级物流网络的基础上,提出以总成本之和最小与碳排放量最小为目标函数建立数学模型,并确定在报废汽车逆向物流网络中的设施位置和数量,用LINGO软件对模型进行了求解,并用算例验证了模型的有效性,实现低碳经济。

闭环供应链物流网络选址优化模型

借助于物流网络结构和混合整数线性规划,构建了一个综合考虑原材料供应地、生产商、正向仓库、顾客群、回收中心、逆向仓库和再制造商的单周期闭环供应链网络选址模型。该模型下,原材料供应地和顾客群需求为确定性限制条件,其他结点地址均根据闭环网络综合目标成本最小化准则进行选择,不但可以实现选址优化,又可以同时计算最优化流量分布。同时选择汽车行业对所构造模型进行了案例应用,并对废弃产品回收率进行敏感性分析。