逆向物流流量不确定闭环供应链鲁棒运作策略设计

考虑一类同时具有再分销、再制造和再利用的闭环供应链在逆向物流流量不确定环境下的运作问题.采用具有已知概率的离散情景描述逆向物流流量的不确定性,利用基于情景分析的鲁棒线性优化方法建立该闭环供应链的多目标运作模型.设计了一个数值算例,其结果验证了运作策略的鲁棒性.在该算例基础上,分析了逆向物流流量的大小对闭环供应链系统运作性能的影响.     

A combinatorial intra-enterprise exchange for logistics services

The exchange of cargo capacities is a well established approach in logistics. However, only few logistics marketplaces are able to take into consideration synergies that can be generated by combining different transportation routes of different logistics carrierps. In order to exploit these synergies, we designed and implemented the combinatorial exchange mechanism ComEx for the intra-enterprise exchange of delivery orders in a logistics company organized in a profit center structure. Each profit center is able to release delivery orders to an adjacent profit center if the geographic locations of the customers allow for a reduced-cost delivery by the adjacent profit center. We demonstrate that by using the ComEx mechanism, the total cost of transportation of our logistics company can be reduced by up to 14%. Since our iterative auction mechanism is very complex and therefore resource-intensive, we reduce the complexity by applying a convex hull approach combined with a distance-based cost estimator.

基于SOA与Web服务的后勤信息资源整合框架研究

分析了后勤信息资源的现状及整合需求,以面向服务体系结构SOA为指导,设计了基于Web Services的后勤信息资源整合的SOA框架,通过对现有后勤信息系统功能组件和数据的服务封装,利用BEPL和UDDI实现服务的动态绑定,建立了从网络协议到用户角色、服务质量保证的安全体系,实现了后勤信息资源的综合集成。     

粒子群优化算法在配送中心连续性选址中的应用

在用常规算法对配送中心进行连续性选址时,很容易陷入局部最优解。针对这一问题,引入ALA方法的思想,提出了解决此类模型的粒子群优化算法。该算法首先利用ALA方法的局部寻优能力对初始粒子进行优化,然后利用粒子群优化算法进行全局寻优。通过实例分析表明,该算法能很好地处理物流配送中心的连续选址问题,为决策者提供一种有效的优化工具。     

基于人工代谢系统的物流管理

本文提出了一种人工代谢算法。通过对算法的模型和相关参数进行定义,阐述了基于人工代谢系统在物流调度中的应用实例。文中给出了一个供应链的拓扑结构图,运用人工代谢算法的原理对物流配送和逆向物流的过程进行了讨论,并对该配送网络进行了相关性能的分析。通过调节相关参数,给出了相应的物流优化配送路径。通过对物流网络的分析表明：在人工代谢算法下,物流网络的配送效率得到了较大提高。网络负荷的均衡性得到了很大改善。     

“互联网+”背景下我国冷链物流与互联网产业融合及实施路径研究

针对人们对冷链物流需求不断增强现状,为解决冷链物流存在的各项问题,要做好冷链物流与互联网产业融及实施路径研究,希望文中内容对于提高冷链物流市场化能够有所帮助。     

Using dynamic demand information and zoning for the storage of non-uniform density stock keeping units

The warehouse order-picking operation is one of the most labour-intense activities that has an important impact on responsiveness and efficiency of the supply chain. An understanding of the impact of the simultaneous effects of customer demand patterns and order clustering, considering physical restrictions in product storage, is critical for improving operational performance. Storage restrictions may include storing non-uniform density stock keeping units (SKUs) whose dimensions and weight constrain the order-picking operation given that a priority must be followed. In this paper, a heuristic optimisation based on a quadratic integer programming is employed to generate a layout solution that considers customer demand patterns and order clustering. A simulation model is used to investigate the effects of creating and implementing these layout solutions in conjunction with density zones to account for restrictions in non-uniform density SKUs. Results from combining layout optimisation heuristics and density zoning indicate statistical significant differences between assignments that ignore the aforementioned factors and those that recognise it.     

基于改进LSTM的航运物流路径轨迹修复研究

目的 提高航运物流路径轨迹信息的挖掘精度和安全效率。方法 对宁波舟山港条帚门水域窄口航道船舶的类型、数量、长度进行统计分析,对货运船AIS物流路径轨迹异常进行识别与修复。考虑船舶实际航行的环境因素,提出一种新的数据纠偏方法。考虑船舶属性与环境因素,以通航宽度和三自由度运动学的转向能力识别异常数据,然后运用Bi-LSTM法对筛选后航运物流路径进行轨迹修复。结果 所提筛选方法不需要轨迹聚类或建立额外的模型进行判别,筛选数据量占总数量的34.26%,修复后的AIS货船物轨迹数据量在原有基础上提升了115.34%。结论 使用文中方法可以有效纠偏和修复异常航运物流路径轨迹数据,为航运物流轨迹数据挖掘提供一定的基础方法。     

考虑通关水平的跨境物流服务供应链契约协调机制研究

为实现跨境物流服务供应链完全协调,运用Stackelberg博弈理论,构建由一个跨境物流服务供应商与一个物流服务集成商组成的二级供应链。采用因子分析法测度通关水平,分析通关水平对跨境物流服务供应链最优决策及协调运作的影响,设计可供跨境物流服务供应链完美协调的契约机制。研究表明,考虑通关水平使跨境物流服务供应链成员及供应链整体利润均得到提升;集中决策下跨境物流服务供应链整体利润总是高于分散决策;收益共享契约可实现跨境物流服务供应商及供应链整体决策的帕累托优化,但不能达到供应链的完全协调,而Nash协商改进的二部定价契约模型可实现供应链的完全协调。     

基于云计算物流平台的应用及安全研究

文章分析了云计算对物流企业信息安全风险的影响,探讨了基于云计算物流平台可能面临的信息安全新问题,并提出了加强云计算物流平台安全性的建议。