Developing a knowledge-based system for the design of innovative product creation processes for network enterprises

IF 0.6 Q4 BUSINESS
Yury F. Telnov, V. Kazakov, V. Trembach
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引用次数: 3

Abstract

The relevance of developing knowledge-based systems used to support innovative processes for creating products and services is related to the objective need to reduce the life cycle of products under the influence of modern digital technologies in developing network enterprises. Well-known research results in the field of model-oriented design of products, processes, systems and enterprises do not fully provide semantic interoperability in the interaction of stakeholders in the innovation process. The aim of this work is to build a knowledge-based system architecture that implements semantic interoperability of network enterprise participants at various stages of the product lifecycle. The work is based on the use of a model-oriented approach to building a digital thread at all stages of the product lifecycle, an ontological approach to semantic modeling of a distributed knowledge base and a multiagent approach to organizing interaction between interested participants in the innovation process. The paper proposes a functional architecture of a knowledge-based system that includes modules for planning the innovation process, forming product value characteristics and functional requirements, construction and value chain design. A multi-level system of ontologies of the innovation process is also developed and its application in the work of functional modules that provide access to MODELING OF SOCIAL AND ECONOMIC SYSTEMS
基于知识的网络化企业创新产品开发流程设计系统的研究
开发以知识为基础的系统以支持创造产品和服务的创新过程的相关性,与在发展网络企业时,在现代数字技术的影响下缩短产品生命周期的客观需要有关。面向模型的产品、流程、系统和企业设计领域的知名研究成果并没有在创新过程中的利益相关者互动中充分提供语义互操作性。这项工作的目的是建立一个基于知识的系统架构,在产品生命周期的各个阶段实现网络企业参与者的语义互操作性。这项工作的基础是使用面向模型的方法在产品生命周期的所有阶段构建数字线程,使用本体论方法对分布式知识库进行语义建模,使用多智能体方法组织创新过程中感兴趣的参与者之间的互动。本文提出了一个基于知识的系统的功能架构,包括创新过程规划、产品价值特征和功能需求形成、构建和价值链设计等模块。还开发了创新过程的多层次本体系统,并将其应用于提供社会和经济系统建模的功能模块的工作中
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
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33.30%
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