基于CORBA的多agent供应链管理系统的研究

本文从现代供应链管理概念及要求出发,指出 协调与合作在供应链管理中的重要作用,应用分布式人工智能理论及分析方法,提出了基于 多agent的供应链管理结构,定义了各功能agent的作用和职能,研究了基于多agent的供应 链管理协作内容、特点及解决方法,介绍了基于CORBA的分布式系统开发方法,提出了基于C ORBA规范及KQML协议的支持供应链管理协作研究及开发的软件结构．     

基于多智能agent的敏捷供应链

论述了敏捷供应链概念和特点,指出敏捷供应链是以动态联盟为基础的敏捷制造的关键技术之一。敏捷供应链作为一个典型的分布式系统,该文采用多智能agent系统建立敏捷供应链系统的框架,并对通用智能agent的结构、功能以及智能agent之间协作与通讯进行了研究。     

一个基于多Agent的PCB装配调度系统

PCB装配调度问题是一个JobShop调度问题。本文针对这一问题设计了一个基于多agent的调度系统模型,其最大特点是将任务的优先级调度机制与基于合同网协议的投标机制相结合。文章首先说明系统的调度过程和各个agent的功能;然后介绍多agent之间的KQML消息通信机制;最后举一个实例并总结系统的特点。     

基于移动agent的供应链管理系统模型研究

分析国内外供应链管理研究现状,探讨在供应链中引入移动agent的技术优势。将移动agent技术应用于供应链管理系统,可以增强供应链网络中各个环节的信息传递速度和共享程度,提高供应链的敏捷性和对市场的快速反应能力,从而降低供应链的牛鞭效应。提出了基于移动agent的供应链管理系统模型,并对系统实现的几个关键问题做了探讨。     

基于多agent的供应链信息协调建模与仿真*

从核心制造企业的信息需求出发,采用基于多agent的供应链建模与仿真方法,研究在订单执行过程中,生产计划和采购计划等决策活动中的信息协调。利用面向agent的系统分析方法,提出了基于多agent的供应链信息协调框架模型,对其中的功能agent进行算法描述。结合Swarm平台构建了供应链仿真模型,对生产计划和采购计划等决策活动中的信息协调进行了模拟和分析,初步验证了模型的有效性。     

基于多Agent的协同开发虚拟团队突发交互通讯模型研究

在协同产品开发虚拟团队组织形式下,开发成员之间会产生突发性的信息交互.阐述了协同开发虚拟团队中信息交互的方式及分类情况,讨论了突发信息交互方式的产生,分析了时协同开发虚拟团队中交发信息交互方式进行有效管理的重要性.在此基础上,以通讯请求agent、协调agent、通讯管理agent、通讯应答agent、仲裁agent为主要组成元素,研究了各个agent之间的协调机制,开发了基于多agent的突发型信息交互协调模型.最后,给出了该模型的计算机原型系统实现.     

基于系统体系结构的多agent协作

多agent系统提供了一种解决复杂问题的分而治之的方法,这就使得agent间的相互协作成为多agent系统研究的一项重要内容,而系统的体系结构直接影响到agent之间的协作.文中主要讨论了基于体系结构的多agent协作,介绍了几种常见的多agent系统体系结构,并提出了一种基于联邦结构的agent协作.     

基于多agent系统的大规模无人机集群对抗

本文将多agent系统引入到大规模无人机集群对抗决策系统中,给出了基于多agent系统的大规模无人机集群对抗决策方法.将机群中的每个无人机视为一个独立agent,建立了无人机运动模型,为无人机设计了独立的个体行为集,并针对每种行为给出了决策方法.通过每个个体无人机对其邻域环境的作用,涌现出宏观的集群对抗(作战)效果.使用MATLAB仿真软件对所设计的大规模无人机集群对抗方法进行了仿真,验证了所设计的基于多agent系统的大规模无人机集群对抗决策方法的有效性.     

基本DFL的多Agent协调工作机制研究

多agent的协调性是多agent系统与其它相关研究领域区别开来的关键性问题之一, 也是保证多个智能系统能在一起共同工作的关键.由于agent它自身是一个主体,就其本质上 讲是一个动态的客体,因此动态性和模糊性是agent的主要特性,而多agent之间这个问题体现 的就更为突出.因此,该文基于DFL对多agent协调工作机制进行研究,给出agent的能力表现 模型、能力扩展模型等内容,为人们解决这方面的问题提供理论依据.     

基于多agent的军事物流系统仿真建模方法*

针对军事物流系统复杂性和不确定性的特点,提出了一种基于多agent的系统仿真建模方法。采用中间到两端的多层agents组织方式,引入agent分区概念对agent行为分别进行详细描述。在基于中间层agents逻辑模型的基础上抽象上层agents和下层agents。通过中间层各agent的活动映射而构造的下层agents负责特定的事务处理。中间层agents负责协调下层agents的信息传递,并与上层agents进行交互;上层agents负责协调中间层agents之间的交互。给出了系统模型的仿真实验方法,最后建立了基于多agent的军事物流仿真模型,并通过系统模型的仿真运行,对系统模型的正确性进行了检验。     

The architecture and business value of a semi-cooperative, agent-based supply chain management system

Multi-agent systems have the potential to improve supply chain management. The adoption of such systems has been limited, as their design often neglects existing organizational realities and the business value for the various stakeholders is not clear. In this paper, a multi-agent system improving supply chain management is designed and its business value is evaluated. We present the semi-cooperative architecture and evaluate the benefits using agent-based simulation. We found that the multi-agent system increases the level of flexibility in the supply chain and enables supply chain members to become more responsive. This has a positive impact on the ordering lead-time, human processing time, the inventory levels and number of stock-outs.     

An agent-based framework for collaborative negotiation in the global manufacturing supply chain network

This paper applies the multi-agent system paradigm to collaborative negotiation in a global manufacturing supply chain network. Multi-agent computational environments are suitable for dealing with a broad class of coordination and negotiation issues involving multiple autonomous or semiautonomous problem solving agents. An agent-based multi-contract negotiation system is proposed for global manufacturing supply chain coordination. Also reported is a case study of mobile phone global manufacturing supply chain management.     

Software agents for knowledge management: coordination in multi-agent supply chains and auctions

A fundamental question that must be addressed in software agents for knowledge management is coordination in multi-agent systems. The coordination problem is ubiquitous in knowledge management, such as in manufacturing, supply chains, negotiation, and agent-mediated auctions. This paper summarizes several multi-agent systems for knowledge management that have been developed recently by the author and his collaborators to highlight new research directions for multi-agent knowledge management systems. In particular, the paper focuses on three areas of research:

• •Coordination mechanisms in agent-based supply chains. How do we design mechanisms for coordination, information and knowledge sharing in supply chains with self-interested agents? What would be a good coordination mechanism when we have a non-linear structure of the supply chain, such as a pyramid structure? What are the desirable properties for the optimal structure of efficient supply chains in terms of information and knowledge sharing? Will DNA computing be a viable tool for the analysis of agent-based supply chains?
• •Coordination mechanisms in agent-mediated auctions. How do we induce cooperation and coordination among various self-interested agents in agent-mediated auctions? What are the fundamental principles to promote agent cooperation behavior? How do we train agents to learn to cooperate rather than program agents to cooperate? What are the principles of trust building in agent systems?
• •Multi-agent enterprise knowledge management, performance impact and human aspects. Will people use agent-based systems? If so, how do we coordinate agent-based systems with human beings? What would be the impact of agent systems in knowledge management in an information economy?

     

MASCF: A generic process-centered methodological framework for analysis and design of multi-agent supply chain systems

Multi-agent systems (MAS) are becoming popular for modeling complex systems such as supply chains. However, development of multi-agent systems remain quite involved and extremely time consuming. Currently, there exist no generic methodologies for modeling supply chains using multi-agent systems. In this research, we propose a generic process-centered methodological framework, Multi-Agent Supply Chain Framework (MASCF), to simplify MAS development for supply chain (SC) applications. MASCF introduces the notion of process-centered organization metaphor, and creatively adopts Supply Chain Operations Reference (SCOR) model to a well-structured generic MAS analysis and design methodology, Gaia, for multi-agent supply chain system (MASCS) development. The popular Tamagotchi case was designed and analyzed using MASCF. The validity of the framework was established by implementing MASCF output of Tamagotchi SC using the Java Agent DEvelopment Framework (JADE).     

Study of the performance of multi-behaviour agents for supply chain planning

In today's industrial context, competitiveness is closely associated to supply chain performance. Coordination between business units is essential to increase this performance, in order to produce and deliver products on time to customers, at a competitive price. While planning systems usually follow a single straightforward production planning process, this paper proposes that partners adapt together their local planning process (i.e. planning behaviours) to the different situations met in the supply chain environment. Because each partner can choose different behaviour and all behaviours will have an impact on the overall performance, it is difficult to know which is preferable for each partner to increase their performance. Using agent-based technology, simulation experiments have been undertaken to verify if multi-behaviour planning agents who can change planning behaviours to adapt to their environment can increase supply chain performance. These agents have been implemented in an agent-based planning platform, using a case study illustrating a lumber supply chain. The performance analysis shows that advanced planning systems can take advantage of using multiple planning processes, because of the dynamic context of supply chains.     

Agent-based time delay margin in consensus of multi-agent systems by an event-triggered control method: Concept and computation

This paper deals with defining the concept of agent-based time delay margin and computing its value in multi-agent systems controlled by event-triggered based controllers. The agent-based time delay margin specifying the time delay tolerance of each agent for ensuring consensus in event-triggered controlled multi-agent systems can be considered as complementary for the concept of (network) time delay margin, which has been previously introduced in some literature. In this paper, an event-triggered control method for achieving consensus in multi-agent systems with time delay is considered. It is shown that the Zeno behavior is excluded by applying this method. Then, in a multi-agent system controlled by the considered event-triggered method, the concept of agent-based time delay margin in the presence of a fixed network delay is defined. Moreover, an algorithm for computing the value of the time delay margin for each agent is proposed. Numerical simulation results are also provided to verify the obtained theoretical results.     

基于多代理的供应链协同生产计划模型

供应链是由分布在全球的供应商、制造商、仓库、分销中心和零售商组成的复杂网络。其生产计划具有分布性,自治性,同步性和开放性等特点,使得传统的生产计划方法已经不能适应供应链的计划需求。在分析了多代理技术和供应链系统生产计划特点的基础上,采用智能代理封供应链系统的功能实体和物理实体进行封装,提出了一个基于多代理的供应链系统网络模型,并构建了基于多智能代理的生产计划运行模式。该生产计划模型分为三层：全局生产计划,企业内部子生产计划和各个任务的详细生产计划。它突破了传统生产计划的局限性,从全局规划的角度来整合供应链上的所有资源,消除了不同企业子生产计划所产生的冲突和差异。很好的体现了供应链系统信息共享和资源共享的原则。     

基于多智能体的供应链管理系统角色建模与设计

论文从现代供应链管理的概念出发,首先介绍了供应链管理所面临的新的挑战,然后提出了基于多智能体的供应链管理系统模型。多智能体系统和供应链管理系统都是非常复杂的。为了降低开发基于多智能体供应链管理系统的难度,笔者采用角色建模方法,分析和设计了一个简化的供应链管理系统。     

多代理在供应链信息管理系统中的应用

在分析了现有的供应链管理信息系统的特点和不足后,应用多代理的思想,并结合了Web技术、基于XML的数据交换技术,给出了基于多代理的供应链信息系统设计模型和具体的实施方案,有效地解决了现代企业在实施电子商务过程中信息系统的集成问题,提高了供应链的敏捷性、动态性、柔性,为企业实现有效的供应链管理提供了一个可行的思路和方法。     

Agent-Based Systems for Intelligent Manufacturing: A State-of-the-Art Survey

Agent technology has been considered as an important approach for developing distributed intelligent manufacturing systems. A number of researchers have attempted to apply agent technology to manufacturing enterprise integration, supply chain management, manufacturing planning, scheduling and control, materials handling, and holonic manufacturing systems. This paper gives a brief survey of some related projects in this area, and discusses some key issues in developing agent-based manufacturing systems such as agent technology for enterprise integration and supply chain management, agent encapsulation, system architectures, dynamic system reconfiguration, learning, design and manufacturability assessments, distributed dynamic scheduling, integration of planning and scheduling, concurrent scheduling and execution, factory control structures, potential tools and standards for developing agent-based manufacturing systems. An extensive annotated bibliography is provided.