敏捷化可重组制造系统春布局原则和方法研究

21世纪是全球化市场竞争的时代。为了适应快速变化的市场需求，本文介绍了一种新型的制造系统模式－－可重组制造系统（RMS，Reconfigurable Manufacturing System），讨论了RMS的产生背景，并阐述了RMS的定义及特征，在此基础上，进一步研究了RMS物理组态的基本模式，探讨了其于经济性分析的RMS系统布局原则和方法，并成功地应用一个案例进行了具体的分析。     

可重构制造系统理论研究

在已有定义基础上给出了可重构制造系统(RMS)的定义,分析了RMS与刚性制造系统(DMS)、柔性制造系统(FMS)的区别。建立了RMS的结构和组成、类别及理论体系,将RMS基础理论概括为系统随机建模、布局规划与优化、构件集成整合、构形原理、可诊断性测度和经济可承受性评估6个方面,并提出了RMS使能技术。     

仿真环境下RMS设施布局分析研究

可重构制造系统(RMS)设施布局问题是一个重要而复杂的研究课题,对制造系统的性能有很大的影响。首先在综合考虑系统复杂性特点的基础上,构建了相应的成本数学模型。然后基于产品种类、生产批量和订货提前期这三个方面的市场需求特征,对RMS布局重构策略进行分析,并构建了仿真框架和仿真流程。最后通过案例分析,验证了该分析方法的可行性和有效性,为RMS布局重构提供了决策依据。     

可重构制造系统概述

总结了国内外学者对于可重构制造系统（RMS）及相关领域的研究,归纳得出RMS的特性及关键技术,简要阐述RMS是如何应对市场的突然变化。利用层次分析法对大规模生产系统（DMS）、柔性制造系统（FMS）及RMS等3个典型的制造系统进行评价,验证其在制造系统发展中的优势地位。     

我国汽车制造装备发展初探

本文第一部分首先论述了发展汽车制造装备的重大战略意义，并分析了汽车制造装备构成、市场和进口热点，以及国产汽车制造装备情况。第二部分分析了流水生产线，重点阐述了发动机制造技术的发展与革命——自动生产线TL，高速柔性生产线FTL，可重构制造系统RMS，市场响应型自独立制造系统MSM。并对现代机床供应商的《解决方案》从技术和管理层面做了简要论述。文末对发展我国汽车装备提出了一些建议。     

基于图论的可重构制造系统重构策略

可重构制造系统(RMS)是针对零件族设计的既具有定制的柔性,又具有高生产率的制造系统。RMS通过重构来适应市场需求的变化。RMS的设计目标是基于重构条件下寻求制造系统在全生产周期内的系统成本最优。首先建立RMS的各生产周期成本模型、重构成本模型与全生产周期成本模型,构建RMS在各生产周期的组态有向图,利用Dijkstra算法与双向扫视算法求得RMS在各生产周期的最优成本组态与K-1个次优成本组态。根据所求得各生产周期的最优成本组态与K-1个次优成本组态,重构成本模型与全生产周期成本模型,计算上下生产周期各组态间的重构成本,并构建RMS全生产周期的重构策略有向图,再次利用Dijkstra算法与双向扫视算法求得 RMS全生产周期的最优重构策略与K-1个次优重构策略。最后用实例验证了方法的有效性与可行性。     

通过可重配制造系统（RMS）在汽车制造领域赢得一席之地

一个可以使汽车工业受益的研究领域就是可重配制造系统(RMS)的设计。RMS概念是一个大胆的概念一一发展制造系统的结构快速变革能力，硬件和软件部分快速适应生产的能力和对市场环境反应的泛涵性。     

可重构制造系统的使能技术

为增强竞争的核心能力,未来的制造企业应该显著地改进产品和制造系统的设计能力;本文重点阐述了可重构制造系统(RMS)体系结构、内涵及特征,对传统的制造过程与可重构制造过程的区别进行了分析,并给出了二者的描述模型;指出可重构制造系统关键技术包括系统建模、支持可重构的信息平台、设备模块化与界面标准化、可重构控制与故障诊断技术等四个层面;在实现系统的可重构时,可重构制造系统是一种模块化、可重用和可扩展的;最后给出了评价指标.     

可重构制造模式--21世纪极具潜力的制造模式

21世纪由于制造材料、制造对象、制造手段、制造工艺和制造环境的根本变化，制造工业将随之发生重大的变革，因此人们提出了各种各样的制造模式来适应这种变革。本文介绍了可重构制造模式的突出优势、国内外的研究现状，并着重介绍了可重构生产系统(RMS)和可重构机床(RMT)的特点和基础的设计理论。     

电控永磁夹具在RMS系统中的应用

一个可以使汽车工业受益的研究领域就是可重配制造系统(RMS)的设计。RMS概念是一个大胆的概念——发展制造系统的结构快速变革能力，可根据市场情况通过硬件及软件调整生产能力和功能。     

可重构制造系统的发展研究

全球市场的激烈竞争,给制造业带来了新的工业革命。如何应对不可预测的市场和用户个性化的需求,成为全球制造业的核心问题。本文研究了可重构制造系统的起源、核心特征、基本原理,分析了可重构制造系统与专用制造生产线和柔性制造系统的区别,介绍了可重构制造系统在工业领域的应用及其商业化目标。     

可重构制造系统研究与发展

在竞争日益激烈的环境下，制造企业必须能够快速地响应市场需求的变化，可重构制造系统可以达到这一目的。本文从可重构制造系统的定义和特点、可重构制造系统与现有制造系统的对比、可重构制造系统研究的现状等方面综述了可重构制造系统研究的进展。     

Production planning and performance optimization of reconfigurable manufacturing systems using genetic algorithm

To stay competitive in the new dynamic market having large fluctuations in product demand, manufacturing companies must use systems that not only produce their goods with high productivity but also allow for rapid response to market changes. Reconfigurable manufacturing system (RMS) is a new paradigm that enables manufacturing systems to respond quickly and cost effectively to market demand. In other words, RMS is a system designed from the outset, for rapid changes in both hardware and software components, in order to quickly adjust its production capacity to fluctuations in market demand and adapt its functionality to new products. The effectiveness of an RMS depends on implementing its key characteristics and capabilities in the design as well as utilization stage. This paper focuses on the utilization stage of an RMS and introduces a methodology to effectively adjust scalable production capacities and the system functionalities to market demands. It is supposed that arrival orders of product families follow the Poisson distribution. The orders are lost if they are not met immediately. Considering these assumptions, a mixed integer nonlinear programming model is developed to determine optimum sequence of production tasks, corresponding configurations, and batch sizes. A genetic algorithm-based procedure is used to solve the model. The model is also applied to make decision on how to improve the performance of an RMS. Since there is no practical RMS, a numerical example is used to validate the results of the proposed model and its solution procedure.     

A review on artificial intelligence applications to the optimal design of dedicated and reconfigurable manufacturing systems

Reconfigurable manufacturing systems (RMS) are considered the future of manufacturing, being able to overcome both dedicated (DMS) and flexible manufacturing systems (FMS). In fact, they provide significant cost and time reductions in the launch of new products, and in the integration of new manufacturing processes into existing systems. The goals of RMS design are the extension of the production variety, the adaption to rapid changes in the market demand, and the minimization of the investment costs. Despite the interest of many authors, the debate on RMS is still open due to the lack of practical applications. This work is a review of the state-of-the-art on the design of cellular RMS, compared to DMS, by means of optimization. The problem addressed belongs to the NP-Hard family of combinatorial problem. The focus is on non-exact meta-heuristic and artificial intelligence methods, since these have been proven to be effective and robust in solving complex manufacturing design problems. A wide investigation on the most recurrent techniques in DMS and RMS literature is performed at first. A critical analysis over these techniques is given in the end.     

可重组制造系统

可重组制造系统是一种能够快速响应新的生产环境的新型制造系统，在快速响应市场变化和个性化生产方面具有重要的意义。阐述了可重组制造系统的发展历史、概念、分类、重组特性及其特点，评述了目前可重组制造系统的研究现状，讨论了可重组制造系统的关键技术，并提出了可重组制造系统应用研究的发展方向。     

A methodology to define a reconfigurable system architecture for a compact heat exchanger assembly machine

Due to the unexpected, fast, and constant changes of market requirements and the hypercompetency, robust manufacturing systems are needed that adjust easily to operational variability and the customized product supply. The simply substitution of components, software, hardware, and/or their adaptation by parameters resetting are an attractive option to face this challenge. Short product life cycles are an undeniable consequence and evidence of this. For this reason, to develop products or services profitably in the product manufacturing field, it is common to use the product family concept, which involves sharing components, functional features, and manufacturing process, both to make a cheaper product development process and to obtain customized products. A new generation of manufacturing systems that deploy characteristics such as adaptability and flexibility responding to the market dynamics called reconfigurable manufacturing systems (RMS) are required by market according to manufacturing experts. The manufacturing systems with modular architecture are the best way to meet flexible and adaptable RMSs because they allow reconfiguration by a simple module substitution or by resetting module operation parameters. This paper presents a design methodology developed to obtain modular RMS. The method integrates the utilization of modular architecture principles, selection algorithms (analytical hierarchical process), clustering algorithms (average linkage clustering algorithm), family product features and functional system analysis in the classical product design process. The methodology proposed allows defining the most adequate modular system architecture and the modular definition of the reconfiguration variables that are needed to reach the flexibility required. A real study case about a heat exchanger assembly machine is presented where this methodology is applied in order to present an evidence of its usefulness.     

Investigating optimal capacity scalability scheduling in a reconfigurable manufacturing system

Responsiveness to dynamic market changes in a cost-effective manner is becoming a key success factor for any manufacturing system in today’s global economy. Reconfigurable manufacturing systems (RMSs) have been introduced to react quickly and effectively to such competitive market demands through modular and scalable design of the manufacturing system on the system level, as well as on the machine components’ level. This paper investigates how RMSs can manage their capacity scalability on the system level in a cost-effective manner. An approach for modeling capacity scalability is proposed, which, unlike earlier approaches, does not assume that the capacity scalability is simply a function of fixed increments of capacity units. Based on the model, a computer tool that utilizes a genetic algorithm optimization technique is developed. The tool aids the systems’ designers in deciding when to reconfigure the system in order to scale the capacity and by how much to scale it in order to meet the market demand in a cost-effective way. The results showed that, in terms of cost, the optimal capacity scalability schedules in an RMS are superior to both the exact demand capacity scalability approach and the approach of supplying all required capacity at the beginning of the planning period, which is adopted by flexible manufacturing systems (FMSs). The results also suggest that the cost-effective implementation of an RMS can be realized through decreasing the cost of reconfiguration of these new systems.     

An expert enhanced coloured fuzzy Petri net approach to reconfigurable manufacturing systems involving information delays

In today’s competitive market, manufacturers need to quickly adapt to the changing demands of the customers. Reconfigurable manufacturing system (RMS) is a cost-effective system that can easily absorb frequent changes in product demands. In this article such a system is modelled using expert enhanced coloured fuzzy Petri net (EECFPN), which considers the demands of customers as a fuzzy parameter and vividly captures the reconfigurability aspect of RMS. A fuzzy control strategy (FCS) is proposed to deal with the information delays occurring during information transfer or decision implementation. After intensive computational experimentation, it has been found that FCS outperforms the alternative priority (AP) heuristic and it is considered an effective measure to deal with situations where considerable information delay is involved.