面向产品创新的知识集成研究

提出借助集成的思想与方法来解决如何有效地运用知识来实现产品创新这一难题.对知识集成概念进行了界定,建立了基于产品创新的知识集成过程模型,并具体分析了其中的各个环节,阐述了实施产品创新知识集成的组织基础.     

基于本体的医学知识管理研究

知识集成是知识管理中的关键问题,集成程度和外化手段对实现知识共享起着重要作用。本文从知识管理角度,研究了基于本体的知识管理机制。     

敏捷虚拟企业的运行环境和决策模型研究

分析了敏捷虚拟企业的形成机理,建立了由知识中心,多模式运输系统、集成远程通讯网络和商业支持四大部分组成的敏感虚拟企业的运行环境,提出了基于敏感虚拟企业生命周期的决策模型,为敏捷虚拟企业的具体实践提供了理论基础。     

面向产品的高技术企业集群协同创新系统集成

为了提高集群创新能力和提升集群在全球产业链中的竞争力,运用系统协同思想来分析集群创新实现问题。构建了基于集群产品创新有序集成的集群知识互动价值创造网络系统,及系统创新集成实现的模块化运作模式。实现了企业集群发展所需创新要素的统一,提高了要素间互动的效率,加快创新的进程与步伐,有效解决了集群创新面临的困境。     

基于知识的汽车后桥CAx集成技术与应用研究

针对制造企业在应用CAx系统过程中如何集成各种信息资源和知识的问题,以汽车后桥产品设计开发为研究对象,提出了一种基于知识的协同CAx集成系统平台框架。采用基于本体论的知识建模方法,提出一种特征参数度量的相似实例检索方法,实现了知识的重用,着重叙述了基于实例推理技术、面向设计流程的知识驱动设计计算、基于特征参数的CAD建模方法、基于模型共享的CAE分析以及产品虚拟装配等关键技术,并开发了此系统平台,实现了基于知识的CAD／CAE集成,有效地支持了汽车后桥产品设计。     

组装线管控系统与ERP系统的集成应用研究

通过对组装线管控(ALC)系统与ERP系统的封装调用集成模式、间接集成模式及直接集成模式3种不同集成方式的分析,着重研究了基于中间文件的集成技术.从ALC与ERP、MES的关系以及ALC与ERP的集成分析两方面进行分析探讨.以杭州某精密机械有限公司ALC系统开发为例,给出了ALC系统间接集成的解决方案.使用该系统能够更精细地控制生产过程,减少生产提前期,降低制造成本.     

基于知识的协同过程建模与实现技术研究

为实现协同过程中知识资源的优化利用,提出了基于知识的协同过程,给出了系统实现框架,研究了该系统的运行过程及相关技术,包括构建企业知识库、基于知识的协同过程的建模、运作过程中知识流与工作流的集成以及协同团队的动态评价。还简要介绍了企业间基于知识的协同过程。最后给出了一个具体应用的例子。     

宝钢益昌基于电子商务的知识管理体系结构

针对电子商务中知识管理的需求,以上海宝钢益昌薄板有限公司为对象,在分析宝钢益昌实施知识管理现状的基础上,设计了宝钢益昌电子商务集成系统,形成了以ERP为平台支持、连接SCM和CRM的系统结构,并在集成过程中渗透知识管理的思想,以实现对整个供应链的信息集成。依据设计目标,提出了基于电子商务的知识管理体系结构,以有效利用企业知识资源,增强企业的核心竞争力。     

PDM系统环境下的并行工程集成框架的研究

本文在介绍PDM系统体系结构和功能的基础上分析了基于PDM系统的并行工程集成框架 ,提出了一种基于PDM系统的并行工程支撑环境的建立模式 ,并具体说明了该模式中各组成部分的建立方案。     

支持专业知识获取的中间件的研究

 分析了如何利用中间件技术支持专业知识获取的问题．提出了基于XML，SOAP，UDDI和WSDL的web服务技术的专业知识获取的中间件应用模式，它可以有效解决消息传送、服务功能的抽象描述以及服务在网络上的发布与发现等问题。以固定瓦推力滑动轴承的性能参数计算Web服务为实例，指出web服务是分布式设计知识获取和知识资源集成的有效途径．     

Knowledge integration and sharing for complex product development

Product development is a highly creative and knowledge-intensive process that involves extensive information and knowledge exchange and sharing among geographically distributed teams and developers. How to best integrate such heterogeneous product knowledge has become an extremely important knowledge management (KM) subject associated with product development. Product development knowledge integration and sharing is becoming a key issue in the enterprise KM. This paper addresses the challenges of product development knowledge integration and sharing during product development. The aim of this research work effort is to develop a method to enhance the integration and sharing of product knowledge during the development phase. This study presents a systematic approach to developing knowledge integration and sharing for product development. The proposed approach includes the steps for designing a framework of product development knowledge sharing, developing representation model for product development knowledge, designing product development knowledge sharing process, designing product development knowledge integration ontology, developing knowledge integration and sharing method for product development based on ontology, and implementation of product development knowledge integration and sharing method. The proposed method could bring out an efficient and proactive way for knowledge integration and sharing among product developers in the product development process.     

面向产品创新知识集成的模型及机制

构建了知识过程与产品创新过程相融合的知识集成模型,具体从知识活动、知识内容和知识主体的角度分析了知识集成的MSSI、SCEI和ITOI模型,分析了该模型的特点;讨论了产品创新知识集成机制.     

An enterprise modeling and integration framework based on knowledge discovery and data mining

This paper deals with the conceptual design and development of an enterprise modeling and integration framework using knowledge discovery and data mining. First, the paper briefly presents the background and current state-of-the-art of knowledge discovery in databases and data mining systems and projects. Next, enterprise knowledge engineering is dealt with. The paper suggests a novel approach of utilizing existing enterprise reference architectures, integration and modeling frameworks by the introduction of new enterprise views such as mining and knowledge views. An extension and a generic exploration of the information view that already exists within some enterprise models are also proposed. The Zachman Framework for Enterprise Architecture is also outlined versus the existing architectures and the proposed enterprise framework. The main contribution of this paper is the identification and definition of a common knowledge enterprise model which represents an original combination between the previous projects on enterprise architectures and the Object Management Group (OMG) models and standards. The identified common knowledge enterprise model has therefore been designed using the OMG's Model-Driven Architecture (MDA) and Common Warehouse MetaModel (CWM), and it also follows the RM-ODP (ISO/OSI). It has been partially implemented in Java?, Enterprise JavaBeans (EJB) and Corba/IDL. Finally, the advantages and limitations of the proposed enterprise model are outlined.     

Knowledge Integration for Predicting Schedule Delays in Software Integration

The inability of engineering managers to accurately predict schedule impact after a software integration test error results in increased schedule risk based on underestimation of the schedule delay. This research outlines how to effectively apply knowledge integration to provide engineering managers with a simple approach to support decisions by incorporating evidence-based recommendations for schedule impact that considers both legacy and current data. Knowledge integration is used to merge known software integration challenges with error reports from U.S. Army software integration test events to define Naïve Bayes Model features. This approach results in a model that predicts schedule delay caused by a software integration error more accurately than existing approaches.     

A knowledge-centric CNC machine tool design and development process management framework

To cope with the increasingly competitive and demanding markets, CNC machine tool company needs a new form of development that focuses on two core competency factors: ‘process’ and ‘knowledge’. This study presents a knowledge-centric process management framework for the CNC machine tool design and development (D&D) with the integration of process and knowledge. Requirements for the framework are generated based primarily on the nature of the machine tool design practice. The proposed framework consists of process integration model, process simulation, process execution and knowledge objects management modules. Each of these modules is elaborated to support the knowledge-centric machine tool development process management. Finally, the prototype development is presented. Results of this study facilitate the knowledge integration in CNC machine tool D&D, and thus increase machine tool development capability, reduce development cycle time and cost, and ultimately speed up the effectiveness and ensure the excellent machine tool development.     

Improving the design phase through interorganisational product knowledge models

This paper focuses on the use of interorganisational knowledge models with the purpose of standardising engineer-to-order (ETO) products. Such product variant reductions can lead to decreased costs for both the ETO company and its suppliers without reducing sales. In spite of the attention that supply chain integration has received in the literature, supply chain integration with a focus on the integration of product knowledge in ETO companies and their suppliers has not received much attention. Thus, the purpose of this paper is to define this type of supply chain integration. The concept is investigated by a case study, which supports the claim that supply chain product knowledge integration is an approach for increasing the competitiveness of ETO companies and their suppliers. Given the gap in the literature, the paper may potentially open a new horizon for studying supply chain integration.     

Integration of rough set and neural network ensemble to predict the configuration performance of a modular product family

Configuration performance prediction (CPP) is critical in the whole process of configuration design for a modular product family. Its aim is to estimate the key performance parameter values in advance, thus evaluating if the product variant can satisfy the customers’ personalised requirements or not. In this paper, we propose a novel prediction approach based on the integration of rough set and neural network ensemble through discovering the knowledge from the historical configuration information table. The minimal hitting set is introduced and its equivalence relationship with the minimal attribute reduction is proven. A genetic algorithm is designed to perform the approximate reduction of the condition attributes. A neural network ensemble model used for regression prediction is constituted by means of the variant bagging method based on error clustering. This methodology can reuse the discovered configuration rules and knowledge efficiently, as well as reduce the effort of experimental measurement to some extent. Finally, the applicability of this prediction method is verified on a newly developed refrigerator family.