Analysis of empirical knowledge acquisition process in optimal design of multi-disciplinary system

Analysis of empirical knowledge acquisition process in optimal design of multi-disciplinary system

Adequate optimization formulation and algorithm choices are essential for successful optimal design of a multi-disciplinary system. Details of such process remain with the realm of tacit experimental knowledge and skills of engineers. The future goal of our research is to build a descriptive managem...

Full description

Bibliographic Details
Main Authors: Yutaka NOMAGUCHI, Hiroyuki NAKAYAMA, Haruki INOUE, Koutaro TODA, Kikuo FUJITA
Format: Article
Language:Japanese
Published: The Japan Society of Mechanical Engineers 2015-10-01
Series:Nihon Kikai Gakkai ronbunshu
Subjects:
knowledge engineering
engineering optimization
system design
design management
design knowledge management
design experiment
design process
Online Access:https://www.jstage.jst.go.jp/article/transjsme/81/830/81_15-00244/_pdf/-char/en

Internet

https://www.jstage.jst.go.jp/article/transjsme/81/830/81_15-00244/_pdf/-char/en

Similar Items