FMES运行监视与故障诊断系统的研究与设计

以长春柔性制造实验系统为研究对象，研究了柔性制造系统的运行监视与故障诊断技术，研制了基于实时动画和人工智能的ＦＭＥＳ运行监视和故障诊断系统。介绍了ＦＭＥＳ－ＭＤＳ的总体结构讨论了ＦＭＥＳ－ＭＤＳ中的信息检测方法和故障诊断技术。     

FMS检测监控实验系统的设计与实现

从开展ＦＭＳ检测监控技术研究的实际需要出发，讨论了建立ＦＭＳ检测控实验系统的必要性。介绍了一个用ＦＭＳ检测监控技术研究的ＦＭＳ检测监控实验系统的基本结构和功能，该系统采用递阶控制的结构形式和模块化的构造方法，可根据不同的研究工作需要进行重新组合，构造出所需要的研究实验环境。     

GT—CAPP与FMS仿真器集成系统

为了适应ＦＭＳ的柔要求，ＣＡＰＰ系统需要产生多个工艺方案，为此本文开发了ＧＴＣＡＰＰ与ＦＭＳ仿真器相结合的集成式原型系统。     

CIMS环境中FMS车间控制器的功能

从计算机集成制造系统的概念出发，讨论了柔性制造车间在ＣＩＭＳ环境中的地位，介绍了ＦＭＳ车间控制器的特点和主要功能，讨论了ＦＭＳ车间内信息要求和计算机网络的结构，以及车间控制系统与其它系统的联系和功能上的协调和互补关系。     

哈尔滨工业大学FMS研究中心

哈尔滨工业大学ＦＭＳ研究中心哈尔滨工业大学ＦＭＳ研究中心是为适应先进制造技术研究的需要于１９８８年成立的一个跨学科、跨系的科研实体，是国防科工委ＦＭＳ检测监控与质量保证网点的牵头单位，主要从事ＦＭＳ和ＣＭＳ领域高新技术的研究与应用，目前共有研究人员３...     

Fe—Mn和Fe—Mn—Si粉末混合物的机械合金化

对Ｆｅ－２４Ｍｎ，Ｆｅ－２４Ｍｎ－６Ｓｉ成分的粉末混合物进行了机械球磨，并对不同时间的球磨样品进行了Ｘ射线衍射（ＸＲＤ）和Ｍｏ¨ｓｂａｕｅｒ谱测量。结果表明，球磨使得Ｆｅ、Ｍｎ、Ｓｉ在原子尺度上发生了混合，形成了顺磁性、面心立方结构的Ｆｅ－２４Ｍｎ或Ｆｅ－２４Ｍｎ－６Ｓｉ纳米晶合金，这是Ｆｅ、Ｍｎ或Ｓｉ原子由颗粒表面到体内扩散的结果。球磨６７ｈ以后结构未发生变化，表明形成的是一种热力学亚稳结构，这个结果与Ｆｅ－Ｍｎ和Ｆｅ－Ｍｎ－Ｓｉ合金在室温下的相图结构明显不同。     

EDFA及其在上海有线电视郊县联网中的应用

本文首先讨论了ＦＭ，数字、ＡＭ－ＶＳＢ三种有线电视光纤传输系统的特点，提出采用ＡＭ－ＶＳＢ１５５０ｎｍ光发射机和ＥＤＦＡ进行中继传输的方式是上海有线电视郊县联网最经济有效的方式。     

南京航空航天大学计算机集成制造系统（CIMS）工程研究中心

南京航空航天大学计算机集成制造系统（ＣＩＭＳ）工程研究中心南京航空航天大学ＣＩＭＳＩ程研究中心的主要研究方向是ＣＩＭＳ、ＦＭＳ整体技术及各单元技术的基础理论研究、应用研究和工程项目的研究与开发，包括系统总体设计、系统详细设计、软件开发、模拟仿真、ＣＡ...     

通用单元控制器的研究

介绍了与ＦＭＳ／ＣＩＭＳ发展相适应的通用的单元控制器的开放体系结构，给出了一个不随具体环境而改变的通用单元控制器的设计方法和实现技术。这种新型的通用单元控制器正在被用来替代从国外进口的ＦＦＳ５００－２ ＦＭＳ控制器。     

抑制等信道间距陆上干线光纤通信系统中光纤色散和四波混频效应的新方案

提出了一种用以克服等信道间距划分、波分复用（ＷＤＭ）＋掺饵光纤放大器（ＥＤＦＡ）陆上光纤通信系统中光纤色散和四波混频（ＦＷＭ）效应的新方案。采用１５５０ｎｍ处色散为－２．８９ｐｓ／ｋｍ／ｎｍ的小色散单模光纤（ｓｍａｌｌ－ｄｉｓｐｅｒｓｉｏｎｓｉｎｇｌｅ－ｍｏｄｅ－ｆｉｂｅｒ，ＳＤＳＭＦ）可避免严重的ＦＷＭ效应，同时利用ＩＴＵ－ＴＧ．６５２非色散位移光纤（ｎｏｎ－ｄｉｓｐｅｒｓｉｏｎ－ｓｈｉｆｔｅｄｆｉｂｅｒ，ＮＤＳＦ），在ＥＤＦＡ整个带宽范围内（１５３０～１５７０ｎｍ）补偿ＳＤＳＭＦ引入的负色散。采用此方案，一个１０路×１０Ｇｂ／ｓ、１０级ＥＤＦＡ级联的等信道间距（１ｎｍ）光纤通信系统，经近千公里的光纤传输后，ＦＷＭ和色散引入的恶化量将分别小于１ｄＢ。     

Modelling of flexible manufacturing system: a review

A flexible manufacturing system (FMS) due to its ability of being flexible in nature is concerned with automatic production of different parts in medium range. In short, it can be regarded as an automated manufacturing system. In this paper, an insight on previous work in the area of FMS modelling has been provided with an overview of research and development for better understanding of FMS. It serves as a medium for investigation of work that are accomplished by using different modelling techniques in FMS like mathematical, artificial intelligence, hierarchical, multi criteria decision-making method, Petri Nets and simulation. This paper will help researchers who are keen to do research in the area of FMS modelling, by highlighting contribution of available techniques in the field of FMS. It will also help them in deciding which modelling techniques can be used for a given problem. At last, comparison of different parameters considered in the recent papers of modelling FMS has been provided in the form of Table, along with a clear vision related to those works that still need to be investigated.     

A comparison of tool management strategies and part selection rules for a flexible manufacturing system

An important element in the successful operation of flexible manufacturing systems (FMS) is the management of the tooling component. This paper reports on one aspect of tool management for FMS operations. Four tool allocation and scheduling strategies are compared in the presence of three part selection rules through a simulation study of a five-machine FMS with an automated tool handling system. The tool allocation strategies are similar to those used in industry while the part selection rules are synthesized from the literature on FMS scheduling under tooling constraints. The use of different tooling strategies produces significantly different outcomes in FMS performance.     

CIMGEN—A COMPUTER AIDED SOFTWARE ENGINEERING TOOL FOR DEVELOPMENT OF FMS CONTROL SOFTWARE

The bottleneck in creation of Flexible Manufacturing Systems (FMS) is the development of control software. This paper presents a systematic approach to automate the development of control software for flexible manufacturing cells both at the workstation and cell controller level. Context-free grammars are proposed as the formal basis, and the FMS system is controlled as a byproduct of recognizing the context free grammars. The underlying system architecture, along with the physical, system and functional models are presented for the various components of the FMS. Implementation of the proposed approach is also discussed.     

A Decision-Information-Synchronisation perspective on the performance of FMS

The performance of a Flexible Manufacturing System (FMS) largely depends on how the control system can control the flow of entities in the system. The control system takes control decisions based on the information provided as an input to the decision-making process. Therefore, it is important that the decision-making process and information systems operate in a synchronised manner with respect to the FMS characteristics. This can also be referred to as a Decision-Information-Synchronisation (DIS) operating zone implemented in the control system. To study the DIS in the present research, three types of visibility for decision-makers in FMS shop-floor control have been identified: (1) no local visibility, (2) physical local visibility and (3) physical and information local visibility of decision-maker/operator. These alternative visibilities and automation levels of decision and information system provide the hybrid environments of FMSs control. The current paper presents an approach to identify the DIS operating zone of FMS with suitable visibility of decision-maker and automation level. Simulation results show that under non-real-time control (low automation level in decision and information system) with physical local visibility, the FMS system performs comparable with the real-time control (high automation level in decision and information system) when routing flexibility levels are presented. Under the current global competitive environment, this study helps industrial managers determine a suitable level of visibility and automation in planning an FMS control system in order to obtain the desired performance at the lower cost.     

Design of an FMS decision support system

Flexible manufacturing system (FMS) is an integrated system consisting of computer numerical control machine tools and automated material handling system controlled by an overall control computer system. The FMS design is broken down into strategic, tactical and operational level designs. This research is concerned with the development of a decision support system for the design of FMS (FMSDDS. Simulation is used as a primary analysis tool, making the DSS capable of solving problems at all three levels. The decision making ability is provided by a multi-attribute utility model which accounts for both quantitative and qualitative factors that affect a decision. The FMSDSS is implemented using three routines: input, analysis, and output. The input routine helps the user to select feasible FMS configurations interactively. The analysis routine consists of a generalized FMS simulation model. This routine analyses the FMS alternatives selected and provides the information required for the output analysis. The qualitative and quantitative measures of performance that have to be considered for decision making are handled by the output routine. It also combines performance measures of different units such as time and cost. The DSS is modular and hence future enhancements can be readily added.     

FMS Designer: An expert system for flexible manufacturing system design

Implementation of flexible manufacturing technology in the batch manufacturing environment has created major problems for designers and engineers who are responsible for specification and design of flexible manufacturing systems (FMS). The FMS design task appears to be an excellent application for expert systems techniques. This paper describes current results of an ongoing research effort to develop an expert system which analyses the output from an FMS simulation model, determines whether operational and financial objectives are met, identifies design deficiencies or opportunities for improvement, and proposes designs which overcome deficiencies or exploit improvement opportunities. An overview of the FMS design expert system is given and a case study is presented to illustrate how the system operates. Areas for future research are also discussed.     

A constructive heuristic algorithm for concurrently selecting and sequencing jobs in an FMS environment

This paper deals with the concurrent solution of the loading and scheduling problems in a flexible manufacturing system ( FMS) environment. It is assumed that the FMS environment has production planned periodically and each job in the system has a number of operations to be processed on flexible machines. A heuristic approach using a constructive scheduling method is developed to solve the FMS loading and scheduling problems concurrently. The computational results are compared to an existing procedure that considers a hierarchical approach with a similar problem environment. The comparison study shows a significant improvement over the existing hierarchical procedure. This experiment indicates that a concurrent solution approach can solve the FMS loading and scheduling problems very effectively.     

FMS Scheduling Simulation Based on an Evolution Algorithm

A FMS（flexible manufacturing system) scheduling algorithm based on an evolution algorithm (EA) is developed by intensively analyzing and researching the scheduling method in this paper.Many factors related to FMS scheduling are considered sufficiently.New explanations for a common kind of the encoding model are given.The rationality of encoding model is ensured by designing a set of new encoding methods,while the simulation experiment is performed.The results show that a FMS scheduling optimum problem with multi-constraint conditions can be effectively solved by a FMS scheduling simulation model based on EA.Comparing this method with others,this algorithm has the advantage of good stability and quick convergence.     

Production planning for flexible flow systems with limited machine flexibility

A flexible manufacturing system (FMS) is highly capital-intensive and FMS users are concerned with achieving high system utilization. The production planning function for setting up an FMS prior to production should be developed in order to make the most of the potential benefits of FMSs. We consider two production planning problems of grouping and loading a flexible flow system, which is an important subset of FMSs where the routing of parts is unidirectional. We show that considering this routing restriction as well as limited machine flexibility strongly affects both the solution techniques and the quality of the solutions. Because of the complexity of the problem, we present a heuristic approach that decomposes the original problem into three interrelated subproblems. We show that the proposed approach usually finds a near-optimum solution and is superior to an approach that exists in the literature of FMS production planning. We also introduce effective heuristic methods for two new subproblems that arise because of the unidirectional flow precedence and flexibility constraints. Computational results are reported and future research issues are discussed.     

Flexibility trade-offs in a random flexible manufacturing system: A simulation study

Flexible manufacturing systems (FMSs) are allowing firms to take advantage of diversified, low volume production of products with short life-cycles. The flexibility provided by an FMS improves the ability of a system to respond to change. Several types of manufacturing flexibility (M F) have been identified in the literature. Ideally, it is desirable to provide an FMS with all types of flexibility. However, there is a general consensus on the discordant nature of some of the flexibilities. This makes it imperative for management to recognize which flexibilities it deems critical to the manufacturing strategy of the firm. This allows the management to trade-off some of the less important flexibilities for the more important ones, as the need arises.

This study is an attempt toward an empirical examination of the flexibility trade-offs in an FMS. By using computer simulation, we study the flexibility tradeoffs in the stochastic environment of a random FMS. Various configurations of the FMS are simulated under the influence of a variety of loading and dispatching strategies. The results show that there is a trade-off among the various flexibility types under most circumstances. However, some scenarios illustrate that an appropriate combination of the variables like scheduling environment, product variety, and system configuration, can be effective in containing these trade-offs. In other cases, it is seen that the FMS can accommodate more than one flexibility type simultaneously.