可重构制造系统的可重构控制器

可重构控制器是可重构制造系统的重要组成部分之一。该文提出了可重构控制器的体系结构。分析了实现可重构制造系统的可重构控制的方法。仿真研究表明可重构控制是实现可重构制造系统控制系统可重构的有效方法。     

可重构制造系统的合弄结构研究

可重构制造系统在激烈的市场竞争和产品品种、产品数量陡变的环境中,能够快速重构制造系统环境。该文采用合弄结构对制造系统的基本结构框架进行了分析,建立了基于合弄结构的可重构制造系统的结构框架。     

可重构制造系统的多Agent模型

论文在介绍可重构制造系统重构方法的基础上,给出了可重构制造系统多Agent模型的结构,并详细描述了基于该模型的可重构车间加工系统的重构算法,最后对重构算法进行仿真验证了该算法的可行性。     

计算机辅助可重构制造系统设计

可重构制造系统是为了快速而准确地提供响应新的高层需求所需的生产能力和生产同一零件族内的新零件所需的制造功能，从一开始就设计成可面向系统级和生产资源级快速而又以有竞争力的成本重构的制造系统，文中分析了可重构制造系统的设计方法及其特征，提出了计算机辅助可重构制造系统设计这一新的研究方向，说明了包括动态适应学习识别机制，建模分析与性能优化，专家系统、集成设计等模块的设计机辅助可重建制造系统设计的流程，实现了可重构制造系统的集成设计。     

可重构制造系统的模糊综合评价研究及其PB实现

针对目前可重构制造系统评价体系的不足,根据可重构制造系统的特点和要求,以某研究所机械加工车间为研究对象,从工程应用的实际出发,构建了一个较为完备的可重构制造系统的评价体系模型,并通过层次分析法对可重构制造系统的各级指标进行量化,在此基础上,运用模糊综合评价方法对系统进行综合评价打分,从而达到对系统的可重构性进行控制的目的。并借助PowerBuilder软件进行评价界面的设计,解决了复杂的计算问题,提高评价的准确度与时效性。     

基于RMC的可重构制造系统设备布局优化研究*

为实现多品种变批量生产制造系统阵列式布局的动态重构,提出一种新的设备布局优化方法.建立了可重构制造系统(RMS)设备优化选择数学模型,设计了基于蚁群优化和阶序聚类算法的可重构制造单元(RMC)动态重构算法.以交货期内最小成本为目标,引入系统复杂度和系统响应度从系统能力角度完善了实现RMS重构的约束条件,最终完成了可重构制造系统设备布局优化.最后通过布局实例仿真验证该方法的可行性和有效性.     

可重构制造系统的关键技术

可重构制造系统是一种新型的制造模式 .本文中详细阐述了可重构制造系统的特点以及研究内容 ,并提出了拟开展的一些研究工作     

可重构制造系统重构算法的实例研究

可重构制造系统（RcMS)的模型及其重构算法是可重构制造系统的形式化表示，是研究RcMS优化的理论基础，基于赋时可重构Petri网的可重构制造系统模型（TRPN－RcMS)及其重构算法是RcMS的形式化表示方法之一。文中以实例对RcMS重构算法进行说明和论证。首先假设一个RcMS的实例系统；然后，根据RcMS的当前系统组成及其生成计划生成RcMS当前系统的TRPN－RcMS模型；最后，根据RcMS重构后的系统组成及其生产计划的变化情况，利用RcMS的TRPN－RcMS模型的重构算法，生成重构后的系统的TRPN－RcMS模型。     

可重构制造系统故障诊断多Agent自学习模型

提出了一种基于多Agent的可重构制造系统故障诊断自学习模型,模型为3层结构,从下向上分别为监测Agent层、诊断Agent层和管理Agent层,详细分析了模型的故障诊断自学习机理,自学习性是基于数据挖掘和基于粗糙集的.示例表明可重构制造系统重构前后,均能有效完成故障诊断.     

基于机器人的可重构装配系统

本文分析了市场全球化给企业带来的挑战和机遇 ,提出了基于机器人的可重构装配系统 .在分析国外在可重构制造领域的研究状况的基础上 ,提出了基于机器人可重构装配系统的设计内容和方法 ,并提出了可重构装配系统今后需研究的方向     

Reconfigurable manufacturing systems: Key to future manufacturing

Presented in this article is a review of manufacturing techniques and introduction of reconfigurable manufacturing systems; a new paradigm in manufacturing which is designed for rapid adjustment of production capacity and functionality, in response to new market conditions. A definition of reconfigurable manufacturing systems is outlined and an overview of available manufacturing techniques, their key drivers and enablers, and their impacts, achievements and limitations is presented. A historical review of manufacturing from the point-of-view of the major developments in the market, technology and sciences issues affecting manufacturing is provided. The new requirements for manufacturing are discussed and characteristics of reconfigurable manufacturing systems and their key role in future manufacturing are explained. The paper is concluded with a brief review of specific technologies and research issues related to RMSs.     

Scalability planning for reconfigurable manufacturing systems

Scalability is a key characteristic of reconfigurable manufacturing systems, which allows system throughput capacity to be rapidly and cost-effectively adjusted to abrupt changes in market demand. This paper presents a scalability planning methodology for reconfigurable manufacturing systems that can incrementally scale the system capacity by reconfiguring an existing system. An optimization algorithm based on Genetic Algorithm is developed to determine the most economical way to reconfigure an existing system. Adding or removing machines to match the new throughput requirements and concurrently rebalancing the system for each configuration, accomplishes the system reconfiguration. The proposed approach is validated through a case study of a CNC-based automotive cylinder head machining system.     

A multiagent-based control system applied to an educational shop floor

This paper addresses the design and implementation of a multiagent-based control architecture to support modular reconfigurable production systems. The requirements for plugability of modules (manufacturing components) and product changes were considered and tested against an educational platform based on Fischertechnik, which resembles a production system composed of several workstations connected by a crane and conveyors.     

Self-reconfigurable software architecture: Design and implementation

To respond quickly to the rapidly changing manufacturing environment, it is imperative for the system to have such capabilities as flexibility, adaptability, and reusability. The fractal manufacturing system (FrMS) is a new manufacturing paradigm designed to meet these requirements. To facilitate a dynamic reconfiguration of system elements (i.e., fractals), agents as well as software modules should be self-reconfigurable. Embodiment of a self-reconfigurable manufacturing system can be achieved by using self-reconfigurable software architecture. In this paper, therefore, self-reconfigurable software architecture is designed by conducting the following studies: (1) analysis of functional requirements of a fractal and environmental constraints, (2) design of reconfigurable software architecture especially for a reconfigurable agent, (3) selection of proper techniques to implement software modules, and realization of software architecture equipped with self-reconfigurability. To validate this approach, the designed architecture is applied to the FrMS.     

统计分析软件驱动的可重构SPC系统

全面集成化的制造企业信息系统需要多样化、敏捷化的统计过程控制（Statistical Process Control,SPC）系统,以实现基于数据的产品质量管理决策。基于领域分析构造了SPC领域模型,设计了基于通用统计分析软件平台的可重构SPC系统框架,以具有扩展点的组件化可重构架构满足制造企业应用模式和配置模式的可重构需求。然后采用SPSS（Statistical Package for the Social Science,社会科学统计软件包）实现了可重构SPC系统,通过引入SPSS组件,执行SPSS Syntax命令,实现对SPC的可视化统计分析。最后以加工误差分析实例说明系统的有效性,为全面质量控制提供了一种数字化应用。     

A non-dominated sorting genetic algorithm based approach for optimal machines selection in reconfigurable manufacturing environment

This paper deals with a problem of reconfigurable manufacturing systems (RMSs) design based on products specifications and reconfigurable machines capabilities. A reconfigurable manufacturing environment includes machines, tools, system layout, etc. Moreover, the machine can be reconfigured to meet the changing needs in terms of capacity and functionality, which means that the same machine can be modified in order to perform different tasks depending on the offered axes of motion in each configuration and the availability of tools. This problem is related to the selection of candidate reconfigurable machines among an available set, which will be then used to carry out a certain product based on the product characteristics. The selection of the machines considers two main objectives respectively the minimization of the total cost (production cost, reconfiguration cost, tool changing cost and tool using cost) and the total completion time. An adapted version of the non- dominated sorting genetic algorithm (NSGA-II) is proposed to solve the problem. To demonstrate the effectiveness of the proposed approach on RMS design problem, a numerical example is presented and the obtained results are discussed with suggested future research.     

基于构件的可重构制造执行系统研究

制造执行系统是实现企业信息集成的关键技术，是企业信息化工程领域的研究热点之一。分析了制造执行系统的定义和功能，并提出基于软件构件的可重构制造执行系统的软件体系结构和实现方法。可重构制造执行系统的开发与运行实践表明，可重构制造执行系统的软件开发效率高、周期短、可扩展性好。     

Decision-making method of reconfigurable manufacturing systems’ reconfiguration by a Gale-Shapley model

The companies need to rapid response to new product introduction, mix and demand changes to stay competitive. A reconfigurable manufacturing system can quickly react to changes in products and market. The control method to reconfigure the machines of a reconfigurable manufacturing system is crucial for the performance level. This paper proposes a reconfiguration decision-making method based on a Game-Theory algorithm, and in particular the Gale-Shapley model. A periodic review strategy is used to create two sets: one set of machine over-loaded and one set under-loaded. The Gale-Shapley model forms a coupled of over-loaded and under-loaded machines. The reconfiguration concerns the under-loaded machine of the coupled adding also the task performed by the over-loaded machine. This paper presents a simulation environment developed to evaluate the proposed method and highlight the main topics. The simulation results highlight how the game-theory approach developed improves all the performance measures with controlled number of machines’ reconfigurations.