.png){kind=icon}
返回
Knowledge elicitation for risk mapping in concurrent engineering projects
.png){kind=icon}
PRE
AI
DOI：10.1080/00207540500445321.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Concurrent Engineering aims to incorporate the overlapping of processes in order to reduce its time-to-market and thereby sustain the existence of organizations in increasingly competitive times. Although faster product design, development, and delivery are the intended outcomes of concurrent engineering, one of the undesirable by-products is an increase in risks as a consequence of uncertainties between interdependent processes. Hence, the risks need to be identified, assessed, and mitigated together with concurrent engineering considerations for the elimination of the 'domino-effect' within risk management. This paper concentrates primarily on knowledge elicitation techniques that were used to provide information to the Intelligent Risk Mapping and Assessment System (IRMAS(TM)) to identify, prioritise, analyse, and assist project managers to manage perceived sources of CE risks. Techniques such as expert interviews, brainstorming, the Delphi technique, and the analogy process are discussed in relation to compiling the knowledge used for this expert system. A total of 589 risk items were identified for different project types, and information on 4372 items and 136 lessons learned were collected from experts at HdH. The core of the research is a reasoning methodology used for Knowledge Elicitation of a Risk Mapping and Assessment System which will not only support the decision-making process of the user but also aid the knowledge retrieval, storage, sharing, and updating process of manufacturing organizations. This research provides a systematic engineering approach to risk management of concurrent product and process development.
Keyword:
knowledge elicitation
risk mapping
engineering projects
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.3
论文数:
1.1W
被引数:
3.7W
机构
暂无机构信息
引用论文
.png){kind=icon}
查看更多内容