钱学森与系统工程

考察了钱学森系统工程思想的孕育、发展过程，概述了他所提出的有中国特色系统工程理论的要点，分析了他如何走出系统工程、扩大视野。     

装备标准化系统工程基本原理与模型

装备系统是装备标准化的依存主体.基于标准化系统应与装备系统紧密联系,标准化工作应对装备系统工程提供有效支撑的思想,提出了装备标准化系统工程的概念、基本原理与概念模型.具体地,分析了标准化与装备系统工程之间的关系,引出装备标准化系统概念及其系统工程的定义、要素、结构阐述,并对装备标准化系统工程的概念模型进行了阐释.     

中国航天的科学管理

回顾了我国50年航天发展历程中所形成的运用系统工程实施科学管理的理念、体系及方法；阐述了顶层设计，统筹规划，统一领导，是中国航天系统工程的本质体现，是航天科学管理的重要特征，是中国航天持续、健康发展的根本保证。     

基于UG平台的智能数控编程系统研究

针对先进数字化制造技术在实际应用中的问题，提出了将知识工程技术引入数控编程，并研究了知识获取、知识表示和知识推理在数控编程中的应用；在对智能数控编程系统的体系结构研究的基础上，以UG为平台利用SQL Server2000数据库和UG／open、VC＋＋6．0开发工具，开发了智能数控编程系统；通过编程实例的应用验证了课题研究的可行性与实用性．     

框架轻板住宅的系统工程

本文运用系统工程原理和方法研究框架住宅体系，分析了该系统及相关于系统的功能，结构的标准化，信息的交换反馈及系统的评价，对小康住宅体现科技含量提出有益的建议。     

《培训管理》

该书为“企业人力资源管理丛书”之一。该书以企业为导向，从职业经理人的角度出发，系统介绍了企业进行员工培训的意义、培训的内容以及怎么培训等知识、技能和方法。员工培训是企业的一项长期性战略性的任务，是一个全局性的系统工程，因此本书在深入分析培训过程的每个环节，为职业经理人提供系统的规范化的具有可操作性的培训知识、技能和方法的同时，紧扣经理人日常培训管理中必然要遇到的一些实际问题，如各层人员培训、各类人员培训、各种技能培训等，一一进行解答。从而从理论与实际的紧密结合上更好地把握培训工作。     

采矿系统工程的发展现状与新趋势

采矿系统工程是矿业系统工程领域内的一门重要学科,它是由采矿工程与系统工程两个学科相互结合而形成的新学科,在对矿业系统工程的研究中,采矿系统工程占据了十分重要的地位。本文将就采矿系统工程的理论与目前的发展现状进行介绍与探讨,并在此基础上,对未来采矿系统工程的发展新趋势进行研究与探讨。     

兑现承诺与价值观回报是对知识员工的最好激励——关于建立知识团队心理契约的思考

从分析建立动态知识团队的必要性和知识员工的特点入手，对动态知识团队的管理过程中常见的几种假设提出了质疑，并在此基础上对如何管理好动态知识团队提出了新的观点：需要改变传统的绩效考核与激励办法，强调对知识员工进行兑现承诺的激励和对其价值观进行报偿；只有那些能够与员工达成心理契约的管理者才能成为真正的团队领袖。     

基于系统工程原理的产品包装设计

根据系统工程的一般理论提出"运用系统工程原理进行包装设计"的观点,介绍包装系统设计的基本思想,并基于系统的观点研究包装系统的特性、包装系统的组成以及包装系统设计的特点和步骤,从而建立起包装系统设计的理论体系基础.     

计量系统与计量系统工程

计量是国民经济的一项重要技术基础,是一种特殊的生产力,对经济建设、科技进步、提高经济效益等都起着重要的监督保证作用。 计量系统是国民经济的于系统。计量系统工程是以系统论的观点和工程技术方法,研究和解决计量有关问题,以实现计量系统总体效果最优为目的。计量系统工程是钱学森同志早在1979年就提出的十四门专业系统工程之一。现就这一命题进行初步探讨,以作抛砖引玉。 一、计量系统及其属性 1.计量系统 计量工作是技术性和法制性极强的工作。所谓计量是指“实现单位统一、量值准确可靠的测量,它涉及整个测量领域”,或者说:“是以保…     

OPSYN: A CAD BASED EXPERT SYSTEM FOR OPTIMUM STRUCTURAL SYNTHESIS

This paper presents an overview of an expert system, OPSYN, for optimum structural synthesis, with particular emphasis on the significance of the development environment for such systems. The knowledge base for this system includes rules for facilitating finite element modeling, optimum design modeling, and selection of optimization strategies and parameters. The environment for this development is an inference engine with both forward and backward reasoning capabilities, a detailed explanation facility, and an automated knowledge acquisition system with a knowledge base editor facility. The use of a computer aided design (CAD) interface with its significant data structure and graphics capabilities in the knowledge acquisition and knowledge representation process is demonstrated with this expert system.     

基于Internet的企业工程知识库的探讨*

企业工程学科正在发展之中.基于Internet的企业工程知识库能够帮助企业工程学科的发展,促进企业工程的知识为企业服务.基于Internet的企业工程知识库采用了开放的、自组织的发展模式,可以使系统的发展步入正反馈的循环,并使企业发展的需求、学生学习的需求和学科发展的需求有机地结合在一起,实现同步发展.     

Knowledge verification for fuzzy expert systems

Abstract

The introduction and use of fuzzy logic has strengthened knowledge representation and reasoning capability in expert systems; nevertheless, it also increases the complexity and difficulty of knowledge verification, which is known to be an important issue for building reliable and high performance expert systems. In the past decade, knowledge verification problems, e.g., redundancy, conflict, circularity and incompleteness of knowledge, have been widely discussed from the viewpoint of using binary logic; nevertheless, the issue of verifying fuzzy knowledge is seldom discussed. In this paper, we attempt to detect potential structural errors among fuzzy rules by proposing a fuzzy verification algorithm. Moreover, a system for verifying fuzzy knowledge base has been developed based on the novel approach.     

Artificial intelligence in fifth generation computers

Artificial intelligence forms an intrinsic aspect of the competence of fifth generation computers in view of the need for them to be primarily knowledge processing systems. We analyse in this paper how this need for knowledge processing arises. In the main body of the paper various issues that arise in knowledge representation and use are discussed. The point of departure for these discussions is the recent work on expert systems. We point out the difference between tacit and propositionizable knowledge and argue the need for modelling tacit knowledge also in fifth generation computers.     

具有Fuzzy决策的信息系统的知识约简

知识约简是粗糙集理论的核心问题之一。讨论了具有Fuzzy决策的信息系统的知识约简问题。给出了知识约简的几种定义、相应的知识约简的判定定理和可辨识属性矩阵，从而为具有Fuzzy决策的信息系统的知识约简的计算提供了具体方法。     

Knowledge-based systems in the design activity

This paper considers the evolution of knowledge-based systems (KBS) in relation to the design activity. In order to do this effectively it commences with a definition of a core design activity in relation to products which are either conventional or novel. KBS are broken down in sympathy with the decomposition of a design, i.e., whole design, partial or sub-system design, component design. The problem of knowledge elicitation and the variability of the constraints at each level of design are considered and conclusions drawn in terms of conventional and novel products.

A hypothesis—‘to be or not to be’—is proposed covering the conceptual design spectrum which suggests that the way forward is via a system of linked KMs (knowledge modules) to be designed using multi-disciplinary teams, since it is considered that KBS are products in their own right and should be treated as such.     

Reliability engineering: Old problems and new challenges

The first recorded usage of the word reliability dates back to the 1800s, albeit referred to a person and not a technical system. Since then, the concept of reliability has become a pervasive attribute worth of both qualitative and quantitative connotations. In particular, the revolutionary social, cultural and technological changes that have occurred from the 1800s to the 2000s have contributed to the need for a rational framework and quantitative treatment of the reliability of engineered systems and plants. This has led to the rise of reliability engineering as a scientific discipline.In this paper, some considerations are shared with respect to a number of problems and challenges which researchers and practitioners in reliability engineering are facing when analyzing today's complex systems. The focus will be on the contribution of reliability to system safety and on its role within system risk analysis.     

An ontology framework for developing platform-independent knowledge-based engineering systems in the aerospace industry

This paper presents the development of a novel knowledge-based engineering (KBE) framework for implementing platform-independent knowledge-enabled product design systems within the aerospace industry. The aim of the KBE framework is to strengthen the structure, reuse and portability of knowledge consumed within KBE systems in view of supporting the cost-effective and long-term preservation of knowledge within such systems. The proposed KBE framework uses an ontology-based approach for semantic knowledge management and adopts a model-driven architecture style from the software engineering discipline. Its phases are mainly (1) Capture knowledge required for KBE system; (2) Ontology model construct of KBE system; (3) Platform-independent model (PIM) technology selection and implementation and (4) Integration of PIM KBE knowledge with computer-aided design system. A rigorous methodology is employed which is comprised of five qualitative phases namely, requirement analysis for the KBE framework, identifying software and ontological engineering elements, integration of both elements, proof of concept prototype demonstrator and finally experts validation. A case study investigating four primitive three-dimensional geometry shapes is used to quantify the applicability of the KBE framework in the aerospace industry. Additionally, experts within the aerospace and software engineering sector validated the strengths/benefits and limitations of the KBE framework. The major benefits of the developed approach are in the reduction of man-hours required for developing KBE systems within the aerospace industry and the maintainability and abstraction of the knowledge required for developing KBE systems. This approach strengthens knowledge reuse and eliminates platform-specific approaches to developing KBE systems ensuring the preservation of KBE knowledge for the long term.     

Investigating the role of business processes and knowledge management systems on performance: A multi-case study approach

In the ever-changing and competitive market place, organisations continuously need to improve their competitive advantage. One method to accomplish this is to form collaborative networks. Both knowledge management (KM) and KM systems play a pivotal role in the success of collaborative networks since information sharing and knowledge assets are so critical to the network. There has been a vast amount of research on KM systems but very little is known about how it affects individual and organisational performance. Drawing on the task–technology fit theory, in this study, we explore the fit or alignment between business process (task) and KM systems (technology) and its impact on KM systems utilisation based on multiple case studies. Subsequently, we investigate the impacts of both the task–technology fit and KM systems utilisation on individual and business performance. This paper contributes to the collaborative network/KM literature in several ways. First, it extends the task–technology fit theory to an important context of collaborative network/KM. Second, it replaces task with business process, which has the potential to help explain KM systems’ success on business performance. Third, the paper explores the positive impact of task–technology fit on KM system utilisation and business performance. Fourth and finally, the study provides insight into the future development of KM systems and how to better align them with managerial purposes.