REROUTING FAILURE FLOWS USING LOGIC BLOCKS IN FUNCTIONAL MODELS FOR IMPROVED SYSTEM ROBUSTNESS: FAILURE FLOW DECISION FUNCTIONS

DS 80-6 Proceedings of the 20th International Conference on Engineering Design (ICED 15) Vol 6: Design Methods and Tools - Part 2 Milan, Italy, 27-30.07.15

Year: 2015
Editor: Christian Weber, Stephan Husung, Marco CantaMESsa, Gaetano Cascini, Dorian Marjanovic, Serena Graziosi
Author: Short, Adam R.; Van Bossuyt, Douglas Lee
Series: ICED
Institution: Colorado School of Mines, United States of America
Section: Design Methods and Tools - part 2
Page(s): 031-040
ISBN: 978-1-904670-69-8
ISSN: 2220-4334

Abstract

Functional modelling methods used in the early conceptual phases of complex system design allow system designers to better understand and refine system architecture from a functional perspective. A family of methods exist to model functional failures and failure flows. These failure flow modelling methods provide the opportunity to understand potential system failure sources and redesign systems for more robustness. One area lacking from the family of function failure and flow methodological family is the ability to model failure flow decision-making. This paper presents the Function Flow Decision Functions (FFDF) methodology that allows system designers to model failure flow decision-making where critical functions and flow exports are protected from failure flows by sacrificing less critical functions and flow exports. By sacrificing less critical functions and flow exports, mission-critical functions and flow exports can be preserved in order to accomplish the primary mission objectives of a system. A case study based upon the Mars Exploration Rover platform is presented in this paper.

Keywords: Functional Modelling, Failure Modelling, Failure Flow Decision-Making, Design Methodology, Robust Design

Download

Please sign in to your account

This site uses cookies and other tracking technologies to assist with navigation and your ability to provide feedback, analyse your use of our products and services, assist with our promotional and marketing efforts, and provide content from third parties. Privacy Policy.