企业物流信息系统研究

针对企业物流信息系统建设的难题，创建了新型的物流信息系统体系结构，进行了物流信息系统设计、包括供应链模型设计、供应链调度计划系统设计和物流运作设计．最后，建立了物流信息系统评价体系，包括评价原则、项目投资过程管理和评价指标体系．     

基于Web的3PL信息系统设计

如何降低整个供应链的物流成本并尽可能多地攫取“第三利润”是供应链与供应链之间竞争焦点,而3PL信息化是提高供应链竞争力的一种有效途径。首先研究供应链中第三方物流运作模式,进而说明第三方物流信息系统在整个供应链中的重要性。根据我国第三方物流企业应用信息系统的实际现状,基于Web的信息系统逐渐成为未来信息系统开发的主流模式,由此本文提出一种基于Web的第三方物流信息系统设计的方法,并给出Web环境下第三方物流信息系统网络结构关系图。     

基于Web服务组合技术的物流供应链管理信息系统集成

根据供应链管理中物流信息的特点,提出采用Web服务组合技术解决供应链管理信息中的数据异构兼容问题。构建了基于Web服务组合技术的物流供应链信息系统集成的框架,解决了供应链管理中的各节点企业协调同步对系统集成的要求。     

物流动态管理信息系统设计、开发及建立

本文介绍一个实用的物流动态管理信息系统的设计、开发技术。系统采用条形码自动识别技术形成物流动态信息卡，利用网络技术及数据库技术把物流信息结点上的动态信息有机地组成具有动态管理功能的信息系统。系统提供用户的3个追踪功能对企业生产具有很大实用价值。     

探析港口物流供应链信息系统分析与设计

经济的快速发展和科学技术水平的提高使得港口物流得到了良好发展,研究港口物流供应链信息系统的设计和分析具有十分重要的意义。基于此,笔者从供应链信息系统的设计目标出发,分析供应链信息系统的设计内容,并对其技术支持与系统架构进行探究,希望为相关人员提供帮助和建议,更好地设计供应链信息系统,有效服务港口物流。     

可重构第三方物流信息系统的实现

随着企业动态联盟解散和重组,在敏捷供应链(ASC)环境下的第三方物流必须对这种变化做出相应的动态响应。该文提出了敏捷供应链环境下可重构第三方物流的概念,同时指出了可重构的关键是使第三方物流信息系统与企业动态联盟下信息管理系统实现信息集成。文章最后提出了一个在CORBA服务下利用ORB作为通讯中间件实现第三方物流信息系统重构的可行性方案。     

Intermec携手中远网络打造供应链信息平台

美国易腾迈公司（Intermec）日前宣布与中远网络物流信息科技有限公司建立战略联盟，打造全面的供应链信息系统建设平台，大力推进包括中国远洋物流有限公司在内的中国物流供应链管理企业的信息化建设。     

基于multi-agent的第四方物流信息平台结构模型的研究*

第三方物流为单个企业带来了物流效益,却不能很好地提高供应链上整体的物流增值价值,在此背景下,第四方物流技术应运而生,它集成了第三方物流的优势并补充了其缺陷。建立的第四方物流信息平台集成了多种服务供应商所拥有的资源、能力和技术,运用multi-agent和AUML建模方法对该平台进行分析与简要设计,通过角色建模、静态建模、动态建模来分析平台结构,借助AUML图来完成建模的图形化设计,最终实现整个供应链上最佳物流方案的制定。     

RFID在现代物流供应链管理中的应用

随着全球经济一体化的发展趋势，现代物流与供应链的高效管理成为企业竞争力的核心，本文从现代物流信息化发展中亟待解决的核心问题，引入RFID技术应用于物流领域的优势，并通过案例的共享阐述了RFID物流供应链管理的解决方案及现阶段的主要应用，预示着RFID技术在现代物流供应链领域应用的美好前景。[编者按]     

基于JSP技术的WEB物流信息系统的设计与实现

本文基于JSP技术。探讨了Browser/Server体系结构下物流信息系统的设计与开发，同时介绍了利用JSP技术开发WEB物流信息系统的特点和关键技术，最后给出一个邮政物流信息系统的实例。     

Analysis on the evolution of shipping logistics service supply chain market structure under the application of blockchain technology

With the digital transformation of the shipping industry, the business potential of shipping companies is gradually expanding. In recent years, shipping companies have begun operating freight forwarding businesses powered by the advantages of cost and network. As a result, their business expansion and gradually occupying the market share of agency services. At the same time, the development requirements of digitization are further highlighted, while the problems of opaque information and inaccurate data in the operation of the shipping logistics service supply chain have become more prominent. Thus, the shipping industry has begun to apply Blockchain Technology (BCT) to the shipping logistics. However, the promotion of BCT, an emerging technology in the shipping logistics service market, is not systematic. The members of the supply chain do not have a deep understanding of it, which have led to changes in market demand. We take the shipping logistics service supply chain composed of shipping companies and freight forwarders as the research object in order to investigate the vertical competition between shipping companies and freight forwarders as well as the impact of BCT application on market structure changes. From the perspectives of freight rate competition and the promotion of BCT, the Stackelberg game theory is applied to create a mathematical model that can be used to discuss the evolution of the shipping logistics service market. The results indicate that, the impact of freight rate competition on market evolution is reduced after the application of BCT. Shipping companies should actively promote BCT to reduce the impact of freight competition on the market. Furthermore, freight forwarders can actively participate in the initial stage of application to increase market demand, and the cost of promoting BCT should be reduced in the later stage.     

RFID together with multi-agent systems to control global value chains

Nowadays, the cooperative intelligent transport systems are part of a largest system. Transportations are modal operations integrated in logistics and, logistics is the main process of the supply chain management. The supply chain strategic management as a simultaneous local and global value chain is a collaborative/cooperative organization of stakeholders, many times in co-opetition, to perform a service to the customers respecting the time, place, price and quality levels. The transportation, like other logistics operations must add value, which is achieved in this case through compression lead times and order fulfillments. The complex supplier's network and the distribution channels must be efficient and the integral visibility (monitoring and tracing) of supply chain is a significant source of competitive advantage. Nowadays, the competition is not discussed between companies but among supply chains. This paper aims to evidence the current and emerging manufacturing and logistics system challenges as a new field of opportunities for the automation and control systems research community. Furthermore, the paper forecasts the use of radio frequency identification (RFID) technologies integrated into an information and communication technologies (ICT) framework based on distributed artificial intelligence (DAI) supported by a multi-agent system (MAS), as the most value advantage of supply chain management (SCM) in a cooperative intelligent logistics systems. Logistical platforms (production or distribution) as nodes of added value of supplying and distribution networks are proposed as critical points of the visibility of the inventory, where these technological needs are more evident.     

Designing fuzzy-genetic learner model based on multi-agent systems in supply chain management

Supply chain requirements and challenges in recent years have made managers to explore new methods in dealing with supply chain management (SCM) problems. Methods with high flexibility which can adapt plans to real conditions help one to make a decision at the right time.In the SCM, distribution and allocation problems are of enormous significance and due to their applications in the cross-functional and final parts of SCM problems, they are in a particular position among the SCM problems.In this paper, by proposing an architecture based up on multi-agent system (MAS), a model is developed to tackle such problems as the nature of supply chain distributions, dynamic distributions systems (DS), uncertain parameters in DS, management of diverse objectives in DS, need for flexibility in DS and other factors considered as challenges and designing requirements in an agile model which can be all found in the SCM. MAS was used in this article owing to their special attributes and features. In MAS, each agent follows up a duty in a self-contained way and is able to adapt it to the environmental changes, after all helping the system to stay alive.     

基于预测承诺契约的物流服务供应链协调

针对由一个功能单一的物流服务分包商和一个物流服务集成商构成的物流服务供应链的协调问题,提出一种承诺契约协调模型。在此承诺契约中,集成商提供一个需求预测,并承诺至少购买一定比例的预测需求量;物流服务分包商基于集成商的预测进行物流能力投资决策,然后得到物流服务分包商的最优物流能力投资量和集成商预测值的取值集合,并将结果扩展到考虑引入回购因子的情况。研究表明在选取合理参数的条件下,提出的预测承诺契约能够鼓励分包商多备货投资,进而能够使物流服务供应链实现系统收益帕累托改进,提高供应链系统和集成商的期望利润,从而实现系统协调。回购因子的引入可以提高相同预测值下的投资水平。最后通过数值实验验证了结果的可靠性。     

连锁零售供应链多级库存协同决策研究

针对连锁零售供应链多级库存资源的动态优化配置问题,提出了在上层对库存策略和下层对物流分配方案协同寻优的多级库存双层规划模型。借鉴细粒度模型遗传算法的遗传操作具有局部性的特点,模拟微观群体交互作用的局部性,基于细粒度模型遗传算法的Agent群体行为优化算法和基于复杂适应系统涌现机理的协同决策机制,进行连锁零售供应链多级库存协同决策研究。通过算例实验对模型的有效性进行了验证。仿真实验结果表明,通过连锁零售供应链微观个体Agent的群体行为优化,从系统工程的角度,实现了连锁零售供应链多级库存的动态资源优化配置和信息共享,降低了多级库存管理与运营的总成本。     

物流服务供应链绩效动态评价研究

针对动态变化的物流服务供应链状态,设计改进型QFD模型,利用模糊评估法对不同历史时期物流服务供应链绩效进行评价;利用前期评价结果,应用Markov预测方法对未来物流服务供应链进行预测,以达到更好控制绩效的目的。最后,结合算例对该动态绩效评价模型进行验证分析。     

Intelligent tracking in manufacturing

Dynamic scheduling is an important new innovation in manufacturing and supply chain management. However, the success of dynamic scheduling will depend on real-time information. This paper describes intelligent tracking technologies that provide real-time information throughout the supply chain to support keywords a logistics planning and execution.     

基于MAS的供应商选择系统分析与设计

在总结了供应链管理及智能代理基本理论的基础上,通过与传统供应商筛选方法之间的对比,构建了基于MAS的企业供应商筛选系统模型,并研究了供应商选择中的协调问题。其次,重点研究了数据采集Agent、决策支持Agent、动态评价Agent的组成框架及工作内容,并在此基础上阐述了各部分的运作模型、供应链框架的运行机制及框架中供应商的地位。然后,为了提高系统的学习性、自适应性和智能性,实现供应商的自动筛选,采用了自组织数据挖掘结合遗传算法优化本系统的学习能力。     

Development of Wafer Warehouse Management System for Semiconductor Manufacturing Foundry Supply Chain

Efficiency of supply chains management mostly depends on the process coordination and information integration between the supply chain companies.The well-known integrated circuit design houses,the wafer fabrication industries, and the integrated circuit packaging/testing business has together formed a contiguous supply chain from materials to system in Taiwan during the past decades.Logistic management of the wafer hence becomes the key linkage in the semiconductor foundry supply chain.The objective of this paper is to develop the wafer warehouse management system for global wafer logistics.Current operations for wafer logistics management are firstly reviewed. The system requirements are analyzed by the model-driven business transformation approach.The business operation model and the platform-independent solution architecture for the wafer logistics management are constructed.A prototype information system is also developed for validation.Results of this research can improve the effectiveness and efficiency in wafer logistics management for the semiconductor foundry supply chain.