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首页> 外文期刊>International Journal of Computer Integrated Manufacturing >An ontology-based multi-agent virtual enterprise system (OMAVE): part 1: domain modelboldl/bolding and rule management
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An ontology-based multi-agent virtual enterprise system (OMAVE): part 1: domain modelboldl/bolding and rule management

机译:基于本体的多智能体虚拟企业系统 (OMAVE):第 1 部分:域模型bold和/bold规则管理

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摘要

New advancements in computers and information technologies have yielded novel ideas to create more effective virtual collaboration platforms for multiple enterprises. Virtual enterprise (VE) is a collaboration model between multiple independent business partners in a value chain and is particularly suited to small and medium-sized enterprises (SMEs). The most challenging problem in implementing VE systems is ineffcient and inFLexible data storage and management techniques for VE systems. In this research, an ontology-based multi-agent virtual enterprise (OMAVE) system is proposed to help SMEs shift from the classical trend of manufacturing part pieces to producing high-value-added, high-tech, innovative products. OMAVE targets improvement in the FLexibility of VE business processes in order to enhance integration with available enterprise resource planning (ERP) systems. The architecture of OMAVE supports the requisite FLexibility and enhances the reusability of the data and knowledge created in a VE system. In this article, a detailed description of system features along with the rule-based reasoning and decision support capabilities of OMAVE system are presented. To test and verify the functionality and operation of this system, a sample product was manufactured using OMAVE applications and tools with the contribution of three SMEs.
机译:计算机和信息技术的新进步产生了新的想法,为多个企业创建更有效的虚拟协作平台。虚拟企业 (VE) 是价值链中多个独立业务合作伙伴之间的协作模式,特别适合中小型企业 (SME)。实施 VE 系统最具挑战性的问题是 VE 系统的低效和不可移动的数据存储和管理技术。本研究提出一种基于本体的多智能体虚拟企业(OMAVE)系统,帮助中小企业从制造零部件的传统趋势转向生产高附加值、高科技、创新的产品。OMAVE 的目标是改进 VE 业务流程的灵活性,以加强与现有企业资源规划 (ERP) 系统的集成。OMAVE 的架构支持必要的 FLexibility,并增强了在 VE 系统中创建的数据和知识的可重用性。本文详细介绍了 OMAVE 系统的系统特性以及基于规则的推理和决策支持功能。为了测试和验证该系统的功能和操作,在三家中小企业的贡献下,使用OAVE应用程序和工具制造了样品产品。

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