基于多agent合作的敏捷供应链管理系统研究

敏捷供应链正成为提高企业全球竞争力的有效手段。本文建立了基于多agent的敏捷化供应链管理系统 ,此系统是基于将企业的业务逻辑和事务处理分开的思想 ,通过供应链定义工具对企业的业务逻辑进行描述 ,利用多agent的合作 ,实现供应链的事务处理 ,从而有效地支持供应链的动态建立和过程重组 ,增强供应链系统信息分布处理和软件可重用能力     

支持供应链管理的多主体系统

供应链是由不同利益主体构成的网络。介绍了多主体系统的概念,提出多主体系统在供应链管理中的应用,描述了该系统的结构框架,以及系统中各主体的功能,并且分析了它们之间的交互作用。     

供应链建模技术的研究

在分析比较各类企业建模技术的基础上，研究基于企业建模方法的供应链建模技术，提出了基于ＡＲＩＳ（集成信息系统的体系结构）的供应链建模技术，并建立相应的供应链运行管理参数模型，最后，给基于ＡＲＩＳ的供应链建模技术在上海汽轮机发电机有限公司中的应用。     

多Agent虚拟企业供应链管理原型系统的功能结构

在虚拟企业与供应链管理研究的基础上,提出了多Agent虚拟企业供应链管理原型系统的功能结构,分析了虚拟企业的招投标机制,并得出了该原型系统的运行界面.     

A multi-agent model for the reasoning of uncertainty information in supply chains

In order to simulate the real world effectively, this paper proposes a multi-agent model that integrates a price negotiation support system based on the use of intelligent agents capable of processing information uncertainty. The certainty factor is integrated in expert systems to support the decision of agents. In the model, each agent is integrated with an expert system to deal with the uncertainty information. A real example of supply chains is chosen to show the validity of the proposed multi-agent model. Virtual companies can use the uncertainty information to support decisions. Multiple experiments are conducted to work on the coordination of the supply chain. The selling and purchasing prices in the supply chain are proposed in the experimental results. These prices are similar with the data in a real supply chain and are the optimal price strategy for the supply chain. The model was programmed using Jess and Swarm, which was run on Windows XP. The multi-agent model in the paper is beneficial to the reasoning of uncertainty information in multi-agent systems.     

The impact of collaborative transportation management on demand disruption of manufacturing supply chains

This paper describes the impact of collaborative transportation management (CTM) on the performance of manufacturing supply chains using a multi-agent approach. Two supply chain models (with and without CTM) are proposed to show how it realises the real operational interactions between different supply chain partners under demand disruption. Simulation results of the proposed models reveal the evolution of the CTM supply chain with demand disruption. The dynamic delivery ability and order point which are caused by demand disruption in the CTM supply chain are investigated. The results indicate that CTM can significantly reduce costs and improve the flexibility of companies in handling demand disruption problems. It is suggested that CTM is an efficient mechanism to manage supply chains, especially under a demand disruption environment.     

基于遗传算法的供应链需求预测优化模型研究

整体优化是供应链管理的核心问题之一.为降低供应链的整体运作成本,减小"长鞭效应"的影响,建立了多级供应链的Multi-agent模型,并运用遗传算法(GA)对其需求预测进行优化研究.最后利用算例进行分析,表明提出的方法能有效减小"长鞭效应",有效降低供应链的整体运作成本.     

支持敏捷供应链重构的模块化Petri网建模与分析

建立了敏捷供应链重构的过程框架，将敏捷供应链的重构分为结构重构和运行策略重构两个方面，结构重构主要是有关供应链节点的选择与评价过程，策略重构是在供应链结构形式以后，对其各节点的库存，物流、供货等策略的控制，在结构重构中采用模块化的Petri网建模方法进行分析，并以一虚拟的供应链为例进行仿真     

A fractal perspective-based methodological framework for supply chain modelling and distributed simulation with multi-agent system

With the development of global economy, supply chain, as a recognised complex system, is becoming more complex for analysis. In this context, it is worth introducing the perspective of complex system in perceiving and modelling of supply chain system to address its dynamic, stochastic and uncertain characteristics. Therefore, this paper proposes a methodological framework of supply chain modelling and simulation based on the fractal perspective, and presents an all-round and systematic exposition of concept modelling and distributed simulation by means of multi-agent technology. In this framework, different supply chain scenarios focusing on manufacturing, inventory and transportation can be easily modelled and simulated at different scales and levels. In addition, a prototype system which implements the methodological framework and the key implementation techniques are presented as well. Finally, a supply chain example, which supposes manufacturer as the core member, is modelled and simulated with the prototype system to illustrate the effectiveness of the proposed framework.     

基于多代理和遗传算法的协同生产调度研究

针对经典作业车间调度(Job-Shop Scheduling)问题的局限性,结合实际生产情况,提出了基于多代理机制的供应链环境下的企业间的协同生产调度(Cooperated production scheduling)系统的体系结构,结合多代理的灵活性和遗传算法的全局优化性,阐述了一种基于多代理和遗传算法的协同调度系统,并寻求适合于这种供应链环境的优化调度方案.     

A Multi-agent Framework of an Integrated Plant Maintenance System

Based on systematic analysis, an Integrated Plant Maintenance System (IPMS) is proposed in this paper to cope with challenges in plant maintenance. The characteristics of the IPMS are summarized and the necessity of its modeling is set forth. Based on the analysis and comparison among structured,object-oriented and multi-agent modeling frameworks, a multi-agent modeling framework is selected in this paper as a theoretical guidance and together with the Tropos method for modeling, the system model of an integrated plant maintenance system is constructed. The system model developed in this paper provides a guidance template for the Baling company in its stepwise implementation of the IPMS.     

动态供应链谈判代理的设计及实现

面向动态供应链,引入智能代理技术,充分发挥智能多代理系统的自主性,重点就商业谈判体系以及其功能的设计与实现进行了较为深入的研究.根据业务交易的典型阶段,建立了业务谈判的多代理软件体系,给出了相应的谈判词汇表的描述.确立了谈判规则,并以DFA为工具描述谈判过程,进而实现了一个自主谈判过程.     

A multi-agent architecture for reverse logistics in a green supply chain

Green supply chain issues have attracted a lot of attention in recent years with growing awareness of environmental concerns. This has drawn the considerable world-wide attention of academics and practitioners. Therefore, recycling has now become an integral component of the supply chain. Recycling of used products and the related logistics management pose a significant challenge to manufacturing industries. In order to resolve the complexity of the task, this study proposes a multi-agent architecture to handle recycling and reverse logistics issues, which have so far been neglected. It addresses the different aspects of recycling such as waste classification, recycling, logistics and reuse of products. Additionally, it also discusses how the agent communicates and acts autonomously to facilitate the efficient logistics of materials between different units. The proposed agent architecture can assist manufacturing industries in efficiently managing their green supply chain system and complex logistics issues.     

敏捷供应链管理决策支持系统的研究

首先介绍了敏捷供应链管理技术,然后提出了一种支持敏捷供应链管理的决策支持系统,最后以企业为背景,给出了该决策支持系统的应用。     

供需链管理的运作模式研究

信息技术的发展使动态供需链的实现成为可能,在前者的支持下,供需链管理的模式可以按照运作中心的不同分为以分销商为核心的供需链、以制造商为核心的供需链和以拍卖商为核心的供需链三种模式,分析了在三种模式下的供需链的流程,并针对供需链不同的生命周期分析了供需链的功能,最后对供需链管理信息系统的实现进行了讨论。     

Distributed supply chain network modelling and simulation: integration of agent-based distributed simulation and improved SCOR model

Agent-based distributed simulation is an efficient methodology for modelling and analysing such complex adaptive systems as dynamic supply chain networks. However, it lacks an acceptable generic standard. Supply chain operations reference (SCOR) model is a cross-functional framework widely accepted as an industry standard. It provides the standard processes, performance metrics, best practices and associated software functionalities for modelling, evaluating and improving supply chain networks. However, it is a static tool. Integration of agent-based distributed simulation and SCOR model can exploit their advantages to form a generic methodology for modelling and simulation of a wide range of supply chain networks. Therefore, this paper proposes a methodology for distributed supply chain network modelling and simulation by means of integration of agent-based distributed simulation and an improved SCOR model. The methodology contains two components: a hierarchical framework for modelling supply chain network based on the improved SCOR model and agent building blocks integrating the standard processes from the SCOR model. The hierarchical framework provides an approach for structure modelling in any level with different granularities based on the improved SCOR model, and allows rapidly mapping a supply chain network into the structure model of a multi-agent system; while agent building blocks are quite useful and convenient to fill the structure model to fulfil its function modelling. With the approach of structure modelling and function filling, not only can the process of agent-based supply chain network modelling be accelerated, but also the built models can be reused and expanded. Because the hierarchical framework is based on the conceptual framework of SCOR model and agent building blocks integrate the standard processes from SCOR model, the proposed methodology is more generic. In addition, the issues of sub-model synchronisation and data distribution management in the agent-based distributed simulation implementation are taken into consideration and the corresponding solutions for these issues are proposed. Finally, an example of a supply chain network is modelled and implemented to illustrate the proposed methodology and related solutions.     

供应链的冲突机理分析及多代理系统的研究

针对目前对多代理系统在供应链中应用的研究缺乏理论体系的现状,从理论上研究了企业中存在的供应链信息不对称问题,分析了供应链中的冲突机理和principal-agent问题的特点.从供应链信息协调的角度研究了多代理系统在供应链协调中的应用,提出了一个可有效解决信息不对称问题的基于多代理系统的供应链模型,从而对有效实现企业供应链的快速重构和动态协调具有重要的指导意义.     

企业虚拟形态下的质量保证体系

对比分析了虚拟企业与传统企业的不同,基于虚拟企业独有的特点,建立了虚拟企业质量保证体系模型——铁三角模型．阐述了信息质量管理体系、客户服务质量管理体系、供应链质量管理体系以及各成员企业传统ISO9000质量管理体系在虚拟企业这一环境下的含义、特点和作用．     

区间灰色时滞特征的供应链建模及稳定性分析

供应链的平稳运行是供应链管理的重要基础。针对具有区间灰色时滞特征的供应链建模及其稳定性控制的难题,基于时滞系统模型,结合供应链建模中矩阵的区间灰色特性,建立了具有区间灰色时滞特征的供应链多层模型系统,并提出了一种使用李雅普诺夫(Lyapunov)函数方法,研究多层供应链结构的稳定性问题,获取了一个有效且实用的稳定性判据,给出了证明过程。为了验证该方法的有效性能,以2层区间灰色时滞供应链系统为算例,研究具有区间灰色时滞特征的供应链系统的随机稳定性问题。算例结果表明:使用Matlab 7.0计算工具,在判别矩阵U+V<0时获得一组常数值ε,在给定条件下,供应链系统随机稳定。可得出结论:该算法在保证最优解不会降低的情况下,达到了系统稳定能力增强的目的,可为实际应用提供指导。     

Global sensitivity analysis and aggregation of risk in multi-product supply chain networks

Manufacturing firms manage complex supply chain networks which are exposed to a plethora of hazard events. An essential part of the risk management process is the calculation of the stand-alone risk exposures of the product-specific supply chains, but also of the entire multi-product system. In this paper, first, a global sensitivity analysis of the statistical supply chain risk model is conducted. This method helps the decision-makers to understand the risk of the model they are using. Second, a methodology for risk aggregation in multi-product supply chain networks is proposed. The real-world data is used to analyse and validate the model. Supply chain managers equipped with the proposed method will better cope with the risk in supply chains for different product configurations.