@inproceedings{1fa85ace24b94969b95d3a101a4e7188,
title = "A framework for knowledge-intensive design decision support in model based realization of complex engineered systems",
abstract = "Industry is experiencing the challenges of 'data-driven' that bring a digital transformation in the industry. In order to facilitate competitiveness in the trend of the digital manufacturing, a method of knowledge-intensive design decision support in the model based realization of complex engineered systems is suggested for manufacturing enterprises to support decision-centric meta-design in robust design, ontology-based knowledge management, and rapid design decision using modular process templates. A concept of DGS - Design Guidance System, as well as the associated operation scenarios, are also identified to increase the efficiency and effectiveness of a designer using platform PDSIDES for the decision-making.",
keywords = "Decision Workflows, Design Decision Support, Design Guidance System, Knowledge, Meta-Design",
author = "Ru Wang and Guoxin Wang and Yan Yan and Shuting Chen and Allen, {Janet K.} and Farrokh Mistree",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 ; Conference date: 10-12-2017 Through 13-12-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/IEEM.2017.8289886",
language = "English",
series = "IEEE International Conference on Industrial Engineering and Engineering Management",
publisher = "IEEE Computer Society",
pages = "230--234",
booktitle = "2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017",
address = "United States",
}