车间作业计划与工艺设计集成研究

针对多品种小批量的单件生产车间，提出基于黑板结构的车间作业计划与工艺设计集成的结构框架，此集成系统分为六大模块．同时对设备环境建模、多工艺方案决策以及基于动态设备环境和多工艺方案的车间作业计划方法等关键技术进行了探讨．它有机地结合了工艺设计与车间作业计划两个单元技术，可提高车间作业计划和生产控制的柔性     

基于多工艺方案的车间作业计划方法研究

对工艺设计与生产调度集成的必要性和可行性进行了分析，讨论了工艺设计与车间作业计划之间的关系．针对多品种小批量的单件生产车间提出启发式的车间作业计划方法，其决策基于多工艺方案、可替代机床和调度规则，生成车间作业计划，并能及时对车间作业计划进行评价和调整．在此基础上，建立了基于多工艺方案的车间生产作业计划决策系统     

一种CAPP和车间作业计划的集成模式

ＣＡＰＰ和车间作业计划是ＣＩＭＳ环境下，车间生产活动的两项重要内容。本文提出了一种分布式ＣＡＰＰ和独立制造岛生产作业计划的集成模式．该模式基于车间（制造岛）制造资源的可用性和来自车间现场的实时反馈．     

A PSL Ontology-based Shop Floor Dynamical Scheduler Design

Due to the complex, uncertainty and dynamics in the modern manufacturing environment, a flexible and robust shop floor scheduler is essential to achieve the production goals. A design framework of a shop floor dynamical scheduler is presented in this paper. The workflow and function modules of the scheduler are discussed in detail. A multi-step adaptive scheduling strategy and a process specification language, which is an ontology-based representation of process plan, are utilized in the proposed scheduler. The scheduler acquires the dispatching rule from the knowledge base and uses the buildin on-line simulator to evaluate the obtained rule. These technologies enable the scheduler to improve its fine-tune ability and effectively transfer process information into other heterogeneous information systems in a shop floor. The effectiveness of the suggested structure will be demonstrated via its application in the scheduling system of a manufacturing enterprise.     

基于多Agent车间控制系统的框架

分析了敏捷制造模式下车间生产的组织方式,提出了分层、分散、协调的车间控制结构。应用多Agent理论和分布式对象技术,构造了基于多Agent的车间控制系统的集成框架。确定了系统中各Agent的功能,以及相互之间的通信与协作关系,使得各Agent相互协作,产生一个敏捷的、自治的并支持全局优化的车间控制系统。     

车间管理控制系统信息模型研究

对背景车间的活动过程进行了研究 ,并用面向对象技术进行了建模 .在对应车间管理控制系统中引入了Multi AgentSystem技术 ,并建立了各个Agent间的协调模型 ,以表达各个Agent相互作用的机制 ,系统整体功能正是通过该机制而实现的     

Design and implementation of an integrated CAD/CAPP system based on PDM

Product data management (PDM) is a new technique that is developed from database management system (DBMS) to manage the information and the associated procedure of a product. Many design engineers have employed PDM tools to coordinate and control access to documented versions of product designs. But it is still a focus of research efforts in industry and academic how to further build an efficient and effective integrated product/process development environments (IPDEs) based on PDM to meet requirements of enterprises. This paper introduces the approach to design and implementation of an integrated CAD/CAPP system (IC2S) based on PDM. This system is an important compent of computer integrated manufacturing system in KELON Inc(Kelon-CIMS). It is mainly used to support for the design and development of the home electric appliances (HEA). Foundation item: Supported by the State High-Tec Developments Plan of China 863/CIMS Subject (No. 863-511-910-402) Biography: Peng Wei-ping (1964-), male, Ph. D. candidate, research direction: integrated product development, computer aided technique, product data management, object oriented software construction.     

A genetic algorithm for the flowshop scheduling problem

The flowshop scheduling problem is NP complete. To solve it by genetic algorithm, an efficient crossover operator is designed. Compared with another crossover operator, this one often finds a better solution within the same time. Supported by the National Natural Science Foundation of China and 863 High Technology Project of China Qi Yuesheng: born in 1967, Ph. D.     

HF detecting radar and communication frequency selection system

Real time communication (RTC) frequency selecting system is used to the maximum usable frequency (MUF) between two communication points, then finds the best frequency between 0. 85 MUF and 1. 0 MUF. Determination of electric wave delay is mostly introduced, and of MUF values, the form of frequency-controlling code and relative interface circuits in the frequency selecting system are introduced in detail. Foundation item: Supported by the 863 High Technology Project of China (863-818-01-02) Biography: SHI Zhen-hua(1999-), male, Professor. Research direction, radio communication and radar system.     

基于Petri网的车间控制器平台研究

着重于车间控制器的开放性提出了车间控制器平台的体系结构.车间控制器平台的核心是运控Petri网.该文给出了运控Petri网的定义.和一般的Petri网相比,运控Petri网主要增加了控制规则以及和外部信息进行交互的接口.实现外部接口的技术方案是车间控制器平台的关键技术,这些接口包括控制设备的虚拟制造设备(VMD)接口、数据库访问接口以及文件访问接口,通过这些外部接口为车间调度提供了全面的车间信息.     

Numerical integration method in analysis of wire antennas

The numerical evaluation of an integral is a frequently encountered problem in antenna analysis. A special Gauss-Christoffel quadrature formula for nonclassical weight function is constructed for solving the pseudo-singular integration problem arising from the analysis of thin-wire antennas. High integration accuracy is obtained at comparable low computation cost by the quadrature formula constructed. This integration method can be also used in other electromagnetic integral equation problems. Supported by the 863 High Technology Project of China (No. 863-818-01-02) and the National Science Foundation of Hubei Province (No. 97J002) Yang Shaolin: born in 1975, M. S graduate student.     

中匈苏美机床工业生产实践比较研究

本文提出一个有关中国、匈牙利、苏联和美国的机床工业企业的生产计划与控制的比较研究。数据利用同一调查表在这些国家的机床工厂收集得到,内容包括基本情况、销售预测、生产计划与进度安排、车间管理、采购和物料管理等方面。首先选用三个投入变量和两个产出量,应用多集合数据包络分析模型评价上述四个国家的机床工业的相对有效性。结果表明,美国的机床制造工业的生产效率最高,依次为匈牙利、苏联和中国。其次对中、匈、苏、美四国的生产实践进行差别的显著性检验。分析表明,差別主要在于市场的影响和不同的劳动生产率水平。研究结果有助于这些国家今后的经济合作。     

广义随机制造系统调度方法的研究与实现

随着市场的激烈竞争,客户需求的多样化与个性化,制造业正面临着巨大的挑战。多品种小批量以及单件定制生产正在成为制造系统的主导生产方式。广义随机制造系统（Generalized Random Manufacturing System—GRMS）是一种面向订单的制造系统模型。GRMS采用自主式生产计划与控制。介绍了基于GRMS的自主式生产调度的概念,讨论了调度准则,并讨论了系统的发展方向。     

区域经济联合协作的动力机制研究

区域经济联合协作是区域经济发展过程中地区之间经济关系形成与演进的重要模式，本文在探讨区域经济联合协作发展的内在规律基础上，认为相互信任，资源依赖和经济互补性是区域经济联合的本质特征；区域利益的协调和竞争机制是区域经济联合的主要形成机制，市场，计划与行政手段的综合协调是区域经济联合的运行机制，在经济联合过程中政府一般起着桥梁和纽带作用，企业是全成参与区域经济联合的主体，有关的法律法规建设是区域经济联合发展有序化和正规化的重要保障。     

热轧带钢轧制批量计划的实例应用

应用轧钢厂生产批量计划的理论方法,从热轧带钢的实际生产工艺出发,建立了热轧生产批量的具体模型·对模型参数的结构进行了分析,给出了模型参数的具体表达,并应用遗传算法用来求解热轧带钢生产计划问题·组合了运筹学与人机协调系统,开发了实验性原形系统·这个系统不但改进热轧调度的质量,由调度系统产生的热轧调度优于手工系统产生的调度,平均改进在２０％以上,而且降低了产生热轧调度的时间·     

Asynchronous parallel evolutionary algorithms for constrained optimizations

Recently Guo Tao proposed a stochastic search algorithm in his PhD thesis for solving function optimization problems. He combined the subspace search method (a general multi-parent recombination strategy) with the population hill-climbing method. The former keeps a global search for overall situation, and the latter keeps the convergence of the algorithm. Guo's algorithm has many advantages, such as the simplicity of its structure, the higher accuracy of its results, the wide range of its applications, and the robustness of its use. In this paper a preliminary theoretical analysis of the algorithm is given and some numerical experiments has been done by using Guo's algorithm for demonstrating the theoretical results. Three asynchronous parallel evolutionary algorithms with different granularities for MIMD machines are designed by parallelizing Guo's Algorithm. National Laboratory for Parallel and Distributed Processing Foundation item: Supported by the Natonal Natural Science Foundation of China (No. 70071042, 50073043), the National 863 Hi-Tech Project of China (No. 863-306-ZT06-06-3) and the National Laboratory for Parallel and Distributed Processing. Biography: Kang Li-shan (1934-), male, Professor, research interests: parallel computing and evolutionary computation.     

A new evolutionary algorithm for function optimization

A new algorithm based on genetic algorithm(GA) is developed for solving function optimization problems with inequality constraints. This algorithm has been used to a series of standard test problems and exhibited good performance. The computation results show that its generality, precision, robustness, simplicity and performance are all satisfactory. Foundation item: Supported by the National Natural Science Foundation of China (No. 69635030), National 863 High Technology Project of China, the Key Scientific Technology Development Project of Hubei Province. Biography: GUO Tao(1971-), male, Ph D, research interests are in evolutionary computation and network computing.     

Balance between exploration and exploitation in genetic search

Genetic search plays an important role in Evolutionary Computation (EC). There are two important issues in the evolution process of the genetic search: exploration and exploitation. Exploration is the creation of population diversity by exploring the search space; exploitation is the reduction of the diversity by focusing on the individuals of higher fitness, or exploiting the fitness information (or knowledge) represented within the population. We theoretically analyze the impact of the genetic operators on the balance. In order to further explain the impact, some results of our research on ESs are showed. Finally we conclude that to make the algorithm more efficient, it is important to strike a balance between these two factors. Supported in part by the National Natural Science Foundation of China (No. 69635030) and Doctoral Programme Foundation of China, and National 863 High Technology Project of China Lin Hansheng: born in 1975, Master     

基于Web-MMS车间自动化通信模型设计与评价

在分析MMS以及Web服务技术的基础上,提出了车间控制系统的通信模型设计方法,构建了基于Web服务遵循MMS标准的车间控制系统通信模型.为了使车间控制通信系统具有实用性和可靠性等特点,进行了基于Web-MMS的通信模型的Petri网动态行为分析.在此基础上,进行了车间控制的通信原型系统的设计,并进行了通信模型的性能评价.分析结果表明,基于Web-MMS的通信模型设计方法是有效可行的.     

An approach to collaborative design based on distributed constraint-net

We focuse on design process in concurrent engineering and propose an, approach to collaborative design based on distributed constraint-net. The approach adopts agent technology to express kinds of distributed constraints. And through the cooperation among agents, the consistency of constraint is maintained and the constraint conflict is detected and eliminated. The constraints are satisfied concurrently and distributively. Based on the proposed approach, the collaborative design process in concurrent engineering can be well supported. Foundation item: Supported by the National Natural Science Foundation of China (No. 59875025) Biography: He De-lin(1971-), male, Ph. D. candidate, research direction: CAD.