Modeling and structuring design rationale to enable knowledge reuse

Siddharth, L and Chakrabarti, A and Ranganath, R (2020) Modeling and structuring design rationale to enable knowledge reuse. In: Systems Engineering, 23 (3). pp. 294-311.

PDF Sys_Eng_23-3_294-311_2020.pdf - Published Version Restricted to Registered users only Download (3MB) | Request a copy

Abstract

We aim to lend insights into “what” constitutes design rationale and “how” to capture these. We restrict the scope of design rationale to the cases of failures observed while testing real engineered systems. We propose a model as an integration of a system hierarchy, a causal chain, and a causality model to cast multiple views of design rationale. The model is structured into databases using a newly introduced version of design structure matrices and supported using a web interface called CRIS4P, which is deployed at a space agency. We report a case example from the spacecraft domain and benchmark the proposed model against IBIS-FAD model.

Item Type:	Journal Article
Publication:	Systems Engineering
Publisher:	John Wiley and Sons Inc.
Additional Information:	The copyright for this article belongs to John Wiley and Sons Inc.
Keywords:	Knowledge representation; Systems engineering, Causality modeling; Design rationale; Design Structure Matrices; Engineered systems; Failure assessment; Knowledge reuse; Multiple views; System failures, Large scale systems
Department/Centre:	Division of Mechanical Sciences > Centre for Product Design & Manufacturing
Date Deposited:	06 Feb 2023 09:28
Last Modified:	06 Feb 2023 09:28
URI:	https://eprints.iisc.ac.in/id/eprint/79915

Actions (login required)

View Item