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Knowledge elicitation for risk mapping in concurrent engineering projects

机译:并发工程项目中风险映射的知识诱惑

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The identification and management of risks in Concurrent Engineering (CE) projects is essential to ensure better resource utilization and greater contribution of projects towards organizational goals. The implementation of Concurrent Engineering philosophy aims to incorporate parallel processes for successful product design as well as reducing its time-to-market and improving its quality with team members from different functional units in multiple site locations, sharing information and resources. However, unexpected events are commonly encountered in many CE projects which can not be handled by traditional project management techniques due to the features of complexity and inter-functionality of CE projects. Thus, incorporating a holistic process model of concurrent engineering environment through Knowledge Elicitation would identify several critical success factors for a better decision making process within the domain of the project based case studies. This paper concentrates primarily on Knowledge Elicitation techniques that were used to provide the knowledge to the Intelligent Risk Mapping and Assessment System (IRMAS) which is under development to identify, prioritize, analyze and assist project managers to manage perceived sources of CE risks. The nature of the knowledge gathered and how it was structured and utilized is outlined for "case based reasoning", "lessons learnt", "best practices", "partner profiles" and "engineering standards". The core of the research is a reasoning and methodology used for Knowledge Elicitation of a Risk Mapping and Assessment System which not only will support the decision-making process of the user but also aid the knowledge retrieving, storing, sharing and updating process of manufacturing organizations.
机译:并发工程(CE)项目中的风险的识别和管理对于确保更好的资源利用和对组织目标的更大贡献至关重要。并发工程哲学的实施旨在纳入成功的产品设计的并行流程,并在多个站点位置,共享信息和资源中使用不同功能单位的团队成员提高其质量。但是,在许多CE项目中通常遇到意外事件,这是由于CE项目的复杂性和互通功能的特征,不能通过传统的项目管理技术处理。因此,通过知识诱因纳入并发工程环境的整体过程模型将确定在基于项目的案例研究领域的更好决策过程中的几个关键成功因素。本文主要集中在知识闪发技术上,用于向智能风险映射和评估系统(IRMA)提供知识,该系统正在开发,以确定,优先考虑,分析和协助项目管理人员管理所感知的CE风险来源。收集的知识的性质以及如何构建和使用,概述了“基于案例的推理”,“经验教训”,“最佳实践”,“合作伙伴资料”和“工程标准”。该研究的核心是一种推理和方法,用于了解风险映射和评估系统的知识诱惑,不仅将支持用户的决策过程,还可以帮助制造组织的知识检索,存储,共享和更新过程。

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