木材工业企业物流装备概况

概述了木材工业企业各种物流设备及其应用情况,分别介绍了带式运输机等连续运输机械、手动液压搬运车等间歇动作装卸运输机械、气力输送以及托盘的应用情况。     

几种航空有源电子干扰装备的比较

本文对远距离支援干扰飞机、随队支援干扰飞机、机载自卫电子对抗系统以及最近国外正在大力发展的分布式电子干扰系统等几种航空有源电子干扰装备的作战对象、战术应用、功能、使用局限性等特点进行了比较 ,探讨了综合发展和运用这几型装备的重要意义     

Key technologies of layout design of recycling plants of waste refrigerators

The present situations of waste refrigerators recycling and disposing were analyzed. Three key technologies of layout design of recycling plants of waste refrigerators were presented as follows: 1) establishment of recycling process of waste refrigerators; 2) the general plane layout of recycling plants; 3) the detailed layout of workshops of recycling plants. The focus of the three key technologies is to tackle the problem of the detailed layout of workshops of the recycling plants. By adopting Petri net, the model of logistics system of workshops was established and then optimized, and finally the detailed layout chart of recycling plants was gained. By adopting E-factory, the recycling plants were simulated. The results show that the method mentioned is effective. Foundation item: Project(50375044) supported by the National Natural Science Foundation of China     

第三方物流企业信息化问题研究

探讨了物流信息化的基本概念及其主要内容，并就其对第三方物流企业的作用进行了阐述。最后以安泰物流信息化建设为案例讲述了具体的第三方物流企业信息化建设。     

物联网在现代物流业中的应用研究

物流是物联网较早落地的行业之一,物联网的应用从根本上提高了对物品生产、配送、仓储、销售等环节的监控水平。文中通过对物联网体系构架的分析,研究了物联网在物流业中的主要应用领域及其在物流业中的推广障碍,探讨了物联网在物流业中的应用发展趋势。     

面向再制造的逆向物流产品回收预测研究

在对再制造逆向物流网络系统构建的基础上,对系统中存在的不确定性因素进行分析。以产品回收数量预测为研究对象,利用灰色模型建立产品回收数量预测模型,并进行实例计算。结果表明该模型计算精度高,所需数据量少,有良好的应用性。     

基于iDEN专网的现代物流信息系统设计与功能实现*

介绍了iDEN(integrated Digital Enhanced Network)专网的VSELP语音压缩编码、M-16QAM调制等关键技术特点以及集群调度、数据传输等主要功能,并结合现代物流信息系统的实际需求特性,进行基于iDEN专网的现代物流信息系统总体架构与系统功能设计,进而对各子系统具体功能做出详细分解.综合运用基于iDEN的车辆定位、图像监控等技术实现各子系统的主要功能.最后对iDEN专网在深圳市现代物流子系统中的应用情况进行了介绍.     

A robust hybrid multi-criteria decision making methodology for contractor evaluation and selection in third-party reverse logistics

Due to green legislations, industries track the used products through reverse logistics contractors. A reverse logistics programme offers significant cost savings in procurement, transportation, disposal and inventory carrying. Since reverse logistics operations and the supply chains they support are considerably more complex than traditional manufacturing supply chains, it can be offered to third party contractors. But availability of more number of contractors make evaluating and selecting the most efficient Reverse Logistics Contractor (RLC) a challenging task and treated as a multi-criteria decision making problem. In this paper, a hybrid method using Analytical Hierarchy Process (AHP) and the Fuzzy Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS) is proposed. AHP is used to obtain the initial weights and Fuzzy TOPSIS is used to get the final ranking. A case study demonstrates the application of the proposed method. Finally sensitivity analysis is carried out to confirm the robustness.     

Greedy-search-based multi-objective genetic algorithm for emergency logistics scheduling

To enable the immediate and efficient dispatch of relief to victims of disaster, this study proposes a greedy-search-based, multi-objective, genetic algorithm capable of regulating the distribution of available resources and automatically generating a variety of feasible emergency logistics schedules for decision-makers. The proposed algorithm dynamically adjusts distribution schedules from various supply points according to the requirements at demand points in order to minimize unsatisfied demand for resources, time to delivery, and transportation costs. The proposed algorithm was applied to the case of the Chi–Chi earthquake in Taiwan to verify its performance. Simulation results demonstrate that under conditions of a limited/unlimited number of available vehicles, the proposed algorithm outperforms the MOGA and standard greedy algorithm in ‘time to delivery’ by an average of 63.57% and 46.15%, respectively, based on 10,000 iterations.     

A hybrid hub-and-spoke postal logistics network with realistic restrictions: A case study of Korea Post

Postal logistics has a complex transportation network for efficient mail delivery. Therefore, a postal logistics network consists of various functional sites with a hybrid hub-and-spoke structure. More specifically, there are multiple Delivery & Pickup Stations (D&PSs), multiple Mail Processing Centers (MPCs), and one Exchange Center (EC). In this paper, we develop two mathematical models with realistic restrictions for Korea Post for the current postal logistics network by simultaneously considering locations and allocations. We propose an Integer Linear Programming (ILP) model for transportation network organization and vehicle operation and a Mixed Integer Linear Programming (MILP) model that considers potential ECs for decision making while simultaneously regarding the EC location, transportation network organization, and vehicle operation. We use modified real data from Korea Post. Additionally, we consider several scenarios for supporting EC decision makers. The proposed models and scenarios are very useful in decision making for postal logistics network designers and operators.