FMS生产运行仿真系统AMCC—SIMU

ＦＭＳ仿真系统ＡＭＣＣ－ＳＩＭＵ是一个复杂程序模块的集合式仿真系统的典型研究成果，它目前已应用于北京机床研究所与重庆大学等单位合作研制开发的天津减速机厂机座ＦＭＳ单元控制器之中，本文介绍了系统结构和主要功能，还提供了几个典型的仿真实验研究结果。     

面向对象的方法与FMS仿真

本文应用面向对象的方法进行了ＦＭＳ仿真。针对ＦＭＳ仿真领域，建立了对象模型，并且Ｃ＋＋语言开发了ＦＭＳ仿真的对象类库。利用该类库开发了－ＦＭＳ的仿真软件，并对工件的不同投入规则和不同的可用托盘数对系统性能的影响进行了仿真。     

一种FMS训练系统的研究与改进

介绍利用ＲＳ２３２Ｃ串行口对英国ＤＥＮＦＯＲＤＦＭＳ训练系统采用可编程逻辑控制器（ＰＬＣ）集中控制且不能通讯的结构进行彻底的改造，方便了ＮＣ程序的双向传送，并植入视觉系统和仿真系统，增强了系统的柔性。     

FMS实时控制仿真系统

本文介绍了ＦＭＳ实时控制仿真方法和系统。通过通讯网络与控制系统一起运行，实际ＦＭＳ运行的各种行为表现，完全可在该仿真系统上体现出来。     

一种实用的计算机辅助制造软件及其应用实例

介绍了一种适用于集成制造系统的计算机辅助制造软件——ＳＵＲＦＣＡＭ，并以一成功应用ＳＵＲＦＣＡＭ进行计算机辅助制造的集成制造系统作为实例来说明其特点和实用性。     

应用于FMS的动画仿真

柔性制造系统是提高生产率的一种相当新的战略。ＦＭＳ运行控制软件必须提供所有的控制管理及监视功能，使之得到充分利用。该文提出了在运行控制软件中增加动画仿真功能模块，并在ＢＡ－ＦＭＳ上配备了动画仿真系统。     

FQ—CIMS工程的系统集成与可靠性设计

】ＦＱ－ ＣＩＭＳ 是浙江省第二批国家８６３／ＣＩＭＳ 推广示范工程之一,该企业的生产过程属于典型的离散生产型。介绍了ＦＱ－ ＣＩＭＳ工程的总体方案,并对ＦＱ－ ＣＩＭＳ工程的两大关键技术———系统集成及可靠性等问题进行了讨论,阐述了ＦＱ－ ＣＩＭＳ的集成方法和特点,提出了提高可靠性的几种方法     

机器人化柔性自动坐标测量系统的研究

本文建立了由ＣＡＤ技术、计算机视觉技术和计算机辅助检测规划（ＣＡＩＰ）技术与数控坐标测量机（ＣＮＣ－ＣＭＭ）集成形成的机器人化柔性自动坐标测量系统（ＲＦＡＣＭＳ）。ＲＦＡＣＭＳ将计算机视觉和ＣＡＩＰ引入ＣＮＣ－ＣＭＭ,极大地提高了ＣＮＣ－ＣＭＭ的柔性化和自动化程度;利用ＣＡＤ数据库中的工件信息,是ＲＦＡＣＭＳ集成到柔性制造系统（ＦＭＳ）或计算机集成制造系统（ＣＩＭＳ）的基础。文中给出了ＲＦＡＣＭＳ     

板材折弯FMC 运行过程的知识Petri网建模

介绍知识Ｐｅｔｒｉ网理论及其在系统建模中的优点，建立板材折弯ＦＭＣ运行过程的知识Ｐｅｔｒｉ网模型，开发相应的ＦＭＣ运行仿真软件。     

CIMS加工系统性能指标的仿真研究

本文基于ＣＩＭＳ环境下加工系统的排队网络模型，对系统输入参数对其性能指标的影响进行了仿真分析，为开发低成本高效率的ＣＩＭＳ提供了一个有效的分析设计方法。     

FMS运控软件调试环境系统的测试原理及系统实现

ＦＭＳ运行控制系统是一个大型软件系统，是整个ＦＭＳ系统的控制核心。本文在分析了ＦＭＳ运行控制系统特点的基础上，介绍了ＦＭＳ运控软件调试环境系统的测试原理与实现过程，着重讨论了它的测试原理、建模方法以及部分实现工作。     

面向对象的FMS建模与集成设计

基于ＦＭＳ领域分析,建立ＦＭＳ面向对象的统一模型框架,并对ＦＭＳ生命周期的各个阶段进行集成研究,开发了一个集ＦＭＳ规划设计、计划调度、控制及仿真为一体的集成设计系统。介绍了该集成设计系统的总体结构及主要功能模块。     

柔性制造系统运行控制软件测试机理研究

探讨ＦＭＳ运行控制系统软件调试环境的建立问题，在研究离散事件动态系统软件测试机理过程中，提出宏Ｐｅｔｒｉ网模型，这种网模型由于在库所和变适中引入变量结构，使模型具有更大的描述性；基于ＦＭＳ中基本事件类型建模，使建模过程通用化、程序化；讨论应用ＭＰＮ实施对ＦＭＳ运行控制软件测试纠错的一般过程。     

Computer simulation of an FMS conveyor

In this paper, we present a method of computer simulation of the control and scheduling of FMS (flexible manufacturing system) conveyors. First we explain the process of simulating conveyours, pallets, sensors, identifying elements and motors, which are the most common components of FMS transportation systems. Afterwards we explain the way to simulate and drive a real FMS transportation system.     

基于EHLGEP-N的柔性制造系统的建模

柔性制造系统（FMS）是复杂离散事件动态系统.利用EHLGEP-N模型,对FMS建模,引入了全局库所G,使模型有了智能优化的思想,既提高了FMS优化调度的整体性能,又使调度具有较强的可观性.     

An integrated methodology for operations analysis of computer integrated manufacturing systems: Application to an FMS for manufacture of medical instruments

This paper contributes a novel methodology for operations analysis of computer integrated manufacturing systems. The methodology employs an integrated set of personal computer-based manufacturing systems modelling software, and is conducted in three stages. The methodology is illustrated in detail for analysis of materials flow and staffing for a flexible manufacturing system (FMS) installed at a medical instruments manufacturing plant. First, a rough-cut capacity and materials flow analysis was performed using a queueing model. Second, a detailed analysis of FMS system characteristics was conducted by creating and analysing a discrete-event simulation model. Finally, a graphical animation package was used to verify previous results and provide visual feedback on FMS system performance. Analysis results were obtained rapidly and conveniently, and were used to advise manufacturing managers regarding FMS operating policy. This analysis methodology can be applied to a wide range of computer integrated manufacturing systems and manufacturing cells.     

Object-oriented approach of MCTPN for modelling Flexible manufacturing systems

Manufacturing industry is facing a stricter challenge than ever before owing to the rapid change in market requirements. Flexible manufacturing systems (FMSs) have a much greater capability than traditional fixed-type production systems for coping with the rapid change. In this paper, a modified coloured-timed Petri net (MCTPN) is developed to model the dynamic activities in an FMS. The MCTPN provides an object-oriented and modular method of modelling manufacturing activities. It includes colour, time, modular and communication attributes. The features of object-oriented modelling allow the FMS to be modelled with the properties of classes, objects, and container trees. Since the system activities can be encapsulated and modularised by the proposed MCTPN, the manufacturing systems can be easily constructed and investigated by the system developers. It makes the concept of software IC possible for modelling complex FMSs. Once all of the MCTPN objects are well defined, the developers need to consider only the interfaces and operations relating to the MCTPN objects. In order to demonstrate the capability of the proposed MCTPN, the FMS in the Manufacturing Automation Technology Research Center (MATRC) of the National Taiwan University will be stimulated and justified by using the proposed MCTPN along with the G2 expert system.     

Modelling and analysis of FMS productivity variables by ISM,SEM and GTMA approach

Productivity has often been cited as a key factor in a flexible manufacturing system (FMS) performance, and actions to increase it are said to improve profitability and the wage earning capacity of employees. Improving productivity is seen as a key issue for survival and success in the long term of a manufacturing system. The purpose of this paper is to make a model and analysis of the productivity variables of FMS. This study was performed by different approaches viz. interpretive structural modelling (ISM), structural equation modelling (SEM), graph theory and matrix approach (GTMA) and a cross-sectional survey within manufacturing firms in India. ISM has been used to develop a model of productivity variables, and then it has been analyzed. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are powerful statistical techniques. CFA is carried by SEM. EFA is applied to extract the factors in FMS by the statistical package for social sciences (SPSS 20) software and confirming these factors by CFA through analysis of moment structures (AMOS 20) software. The twenty productivity variables are identified through literature and four factors extracted, which involves the productivity of FMS. The four factors are people, quality, machine and flexibility. SEM using AMOS 20 was used to perform the first order four-factor structures. GTMA is a multiple attribute decision making (MADM) methodology used to find intensity/quantification of productivity variables in an organization. The FMS productivity index has purposed to intensify the factors which affect FMS.     

Simulation for maintenance of an FMS: an integrated system of maintenance and decision-making

Flexible manufacturing systems (FMSs) are designed to produce a variety of different part types with high machine utilisation, so the maintenance technique is necessary and very important in an FMS. This paper discusses the maintenance problem in an FMS and its simulation, analyses the maintainability of a real FMS shop, and presents the architecture of an integrated system of maintenance and decision-making/scheduling for manufacturing shop control. The modelling and simulation of the maintenance activities in the shop are shown. The simulation program is written in SLAM II and the special subroutines are realised in Fortran. The interest is directed towards the use of the method of simulation for maintenance and decision-making in FMSs.