Holistic System Design Evaluation Through Expanded Multi-attribute Tradespace Exploration
Open AccessNot applying a holistic simulation and modelling approach to early design evaluation practices and trade studies results in greater developmental costs, time to market, and unforeseeable system-level design consequences (Buede & Miller, 2016). Completed research is presented for an innovative methodology that enhances the capacity of conventional design evaluations by integrating new types of simulations consistently into the existing Multi-attribute Tradespace Exploration (MATE) design evaluation architecture. This enhancement is particularly important for any envisioned software-intensive system that introduces greater system complexity. MATE was originally developed to guide engineering design and initial product selection by exploring candidate designs to deliver utility-based solutions (Ross et al., 2004). Unfortunately, the MATE methodology does not support software design evaluation and integration into complex systems. The results presented validate MATE improvements that address these shortcomings and are scalable and extensible to any software-based system of varying complexity and application. The subject research provides case study derived proof of this concept by focusing on sensor systems as an initial practical demonstration due to their complex (i.e., integrated software-hardware) nature. Project engineers and especially software developers in any product field will benefit from this design method by leveraging its holistic evaluation of software and hardware system design performance for more efficient product design identification and implementation.
- All rights reserved
Notice to Authors
If you are the author of this work and you have any questions about the information on this page, please use the Contact form to get in touch with us.