FMS控制系统统一仿真模型的建立及实现

针对目前ＦＭＳ存在的问题，在现有ＦＭＳ仿真方法基础上提出了一种面向对象的集成化、开放统一框架模型，该框架模型系统集成了ＦＭＳ的资源描述、仿真、调度、评价、控制等子系统，利用层次建模、面向对象以及人工智能的思想方法，把各功能模型有机结合起来，应用于ＦＭＳ控制系统的仿真、设计及实际运行控制。     

CIMS环境下的分层多目标决策模型及其在制定生产计划中的应用

将ＣＩＭＳ体系分解为组织决策层、协调决策层和调度执行层三层决策和控制结构，在此基础上建立了具有时标分解的分层递阶关联多目标决策模型。该模型将ＣＩＭＳ的局部问题集成于一个模型之中，使一体化的集成决策和控制可得以实现。提出了一种分层多目标模糊规划的递阶柔性交互式算法。该模型和算法实现了一类ＣＩＭＳ的生产计划的制定。该模型可作为ＣＩＭＳ的控制与决策支持系统的框架结构。     

一种多品种多加工中心FMS中的批调度问题研究

针对一种比较典型的多品种,多加工中心柔性加工企业（ＦＭＳ）的生产调度问题建立了动态模型,并给出了一种多级递阶算法,利用这种算法,可以在较少的计算量基础上获得近优解。     

钢铁企业CIMS生产计划管理的递阶体系

钢铁生产的复杂性决定了钢铁企业计划管理的复杂性，因而有必要采用大系统分解协调理论对钢铁生产计划系统进行时间分解与空间分解，建立生产计划的递阶体系。本文提出了ＣＩＭＳ下钢铁生产计划管理的递阶体系结构模式，研究了对计划系统进行空间分解与时间分解的原则。     

智能空间桁架结构独立模态控制方法

采用现代模态滤波器（ＭＦ）技术和最优控制理论研究智能空间桁架结构的独立模态空间控制方法（ＩＭＳＣ）。仿真结果表明，按提出的控制策略，解决了传统ＩＭＳＣ控制中的状态解耦问题，使ＩＭＳＣ方法不再局限于简单、低自由度数的结构动力控制，对于智能空间结构，实施ＩＭＳＣ方法也是可行并且有效的。     

支持动态企业联盟的敏捷供需链管理系统

在分析了动态企业联盟对ＡＳＣＭＳ需求的基础上，提出了系统建模与仿真、计划与控制模式及过程管理是建立ＡＳＣＭＳ的关键问题，给出关键问题的解决方案及ＡＳ－ＣＭＳ的结构与功能。ＡＳＣＭＳ将为有铲地组建动态企业联盟和快速响应市场提供有力的支持。     

基于3DS MAX建模的水中目标目标强度计算

本文提出基于３ＤＳ ＭＡＸ建模的水中目标目标强度（ＴＳ）计算方法。给出利用３ＤＳＭＡＸ对水中目标建模后从图形交换ＤＸＦ文件提取目标信息,再用得到的信息结合块元方法计算水中目标目标强度（ＴＳ）的算法。为水中复杂目标目标强度的计算提供了一种简易方法。     

柔性制造系统检测监控系统的研究

根据柔性制造系统的实际需要，研制了一个ＦＭＳ运行状态检测监控系统，介绍了该系统的功能与结构，论述了系统与ＦＭＳ的集成方法，讨论了系统的工作流程及对ＦＭＳ故障的处理策略。     

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。     

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...     

Performance evaluation of flexible manufacturing systems with blocking

Analytical approximations for the performance of flexible manufacturing systems (FMS) with blocking of machines due to limited local buffers are presented. The approximations are based on a detailed analysis of FMS configurations used in industry. The method proposed uses informations generated by applying the classical closed queueing network (CQN) model to the FMS. The approximations developed are tested against simulation models for a wide variety of FMS configurations. The results presented show that the approximations are very good.     

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 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.     

New modelling formalism for control programs of flexible manufacturing systems

Proposed in this paper is a modelling formalism, called the FMS control model, which is able to provide a detailed guideline for the implementation of the FMS control program (PLC program). Although, there are numerous simulation models for FMSs describing the system dynamics at the level of discrete event simulation, they cannot be fully utilised for the generation of a real control program involving sensors and actuators. Due to this, PLC programs for FMSs are usually done by the repetitive method of code writing, testing, and debugging until the control objectives are achieved. This is an error-prone and time-consuming task. The proposed FMS control model is described at the level of sensors and actuators. It can support the PLC program generation from the model. Since the FMS control model has been developed by expanding the DEVS formalism, it has a well-defined formalism. The proposed methodology has been implemented and test runs were made.     

分布式FMS智能调度和控制系统的研究与开发

介绍了分布式ＦＭＳ智能调度和控制系统的研究与开发情况：提出了一种新的适合于分布式系统建模的网络计时Ｐｅｔｒｉ网ＮＴＰＮ；将ＮＴＰＮ模型与专家系统技术相结合，为系统控制器开发了基于工程的专家系统ＥＢＥＳ；利用面向对象的技术开发了仿真的对象类库，并实现了从仿真到控制的软件重用。     

Data-driven uncertainty quantification and propagation in structural dynamics through a hierarchical Bayesian framework

In the presence of modeling errors, the mainstream Bayesian methods seldom give a realistic account of uncertainties as they commonly underestimate the inherent variability of parameters. This problem is not due to any misconceptions in the Bayesian framework since it is robust with respect to the modeling assumptions and the observed data. Rather, this issue has deep roots in users’ inability to develop an appropriate class of probabilistic models. This paper bridges this significant gap, introducing a novel Bayesian hierarchical setting, which breaks time-history vibration responses into several segments so as to capture and identify the variability of inferred parameters over the segments. Since the computation of the posterior distributions in hierarchical models is expensive and cumbersome, novel marginalization strategies, asymptotic approximations, and maximum a posteriori estimations are proposed and outlined in a computational algorithm aiming to handle both uncertainty quantification and propagation. For the first time, the connection between the ensemble covariance matrix and hyper distribution parameters is characterized through approximate estimations. Experimental and numerical examples are employed to illustrate the efficacy and efficiency of the proposed method. It is observed that, when the segments correspond to various system operating conditions and input characteristics, the proposed method delivers robust parametric uncertainties with respect to unknown phenomena such as ambient conditions, input characteristics, and environmental factors.     

A financial model of flexible manufacturing systems planning under uncertainty: identification,valuation and applications of real options

Flexible manufacturing systems (FMS) have been considered to be essential for manufacturers to succeed in the uncertain market place. Flexibility typically comes at a price and is only valuable as a hedge against environmental uncertainty. It is important to determine an appropriate level of flexibility in the production system while considering the tradeoffs between its costs and benefits. This paper proposes to apply a real option theoretic approach to the modeling and analysis of various types of uncertainty involved in an FMS's operational environment. In comparison with financial options, real options in the context of an FMS, namely, production options, are identified and accordingly a pricing model for production options is proposed based on the option theory. Based on the valuation of production options, a general framework of flexibility planning is formulated. The real option approach surmounts traditional discounted cash flow analysis based valuation methods that tend to ignore the upside potentials to an investment from management flexibility. The proposed model is tested in a refrigerator company that deals with high product variety and uncertain demand.     

FMS控制系统统─仿真模型的建立及实现

针对目前FMS存在的问题，在现有FMS仿真方法基础上提出了一种面向对象的集成化、开放型统一框架模型，该框架模型系统集成了FMS的资源描述、仿真、调度、评价、控制等子系统，利用层次建模、面向对象以及人工智能的思想方法，把各功能模型有机结合起来，应用子FMS控制系统的仿真、设计及实际运行控制。     

Complex assembly variant design in agile manufacturing. Part I: System architecture and assembly modeling methodology

In the distributed and horizontally integrated manufacturing environment found in agile manufacturing, there is a great demand for new product development methods that are capable of generating new customized assembly designs based on mature component designs that might be dispersed at geographically distributed partner sites. To cater for this demand, this paper addresses the methodology for complex assembly variant design in agile manufacturing. It consists in fundamental research in two parts: (i) assembly modeling; and (ii) assembly variant design methodology. This paper, the first of a two-part series, presents the assembly variant design system architecture and the assembly modeling methodology. First, a complementary assembly modeling concept is proposed with two kinds of assembly models, the hierarchical assembly model and the relational assembly model. The first explicitly captures the hierarchical and functional relationships between constituent components whereas the second explicitly captures the mating relationships at the form-feature-level. These models are complementary in the sense that each of them models only a specific aspect of assembly-related information but together they include the required assembly-related information. They are further specialized to accommodate the features of assembly variant design. As a result, two kinds of assembly models, the assembly variants model and the assembly mating graph are generated. These assembly models serve as the basis for assembly variant design which is discussed in the companion paper.