Developing Quality through Measuring Usability--The UTUM Test Package
WoSQ '07 Proceedings of the 5th International Workshop on Software Quality
Design concept evaluation in product development using rough sets and grey relation analysis
Expert Systems with Applications: An International Journal
A new multi-attribute decision making method: Hierarchical fuzzy axiomatic design
Expert Systems with Applications: An International Journal
Applying TRIZ and Fuzzy AHP to develop innovative design for automated manufacturing systems
Expert Systems with Applications: An International Journal
Multi-attribute utility analysis in set-based conceptual design
Computer-Aided Design
Reporting usability metrics experiences
CHASE '09 Proceedings of the 2009 ICSE Workshop on Cooperative and Human Aspects on Software Engineering
Hi-index | 12.05 |
Various multi-attribute decision making (MADM) systems can be implemented to narrow a field of new concept designs down to those with high likelihoods of surpassing state-of-the-art technologies. This research investigated the conceptual design phase of new microplasma devices in order to create metrics that evaluate the efficiency, effectiveness, and overall utility of representative MADM systems studied in previous engineering design applications. Device attributes and concept alternatives for the microplasma devices were identified from open-ended expert surveys. Efficiency metrics were defined based on the number of manual user inputs. Published device literature and testing were used to gauge how closely device concepts satisfied multi-attribute criteria, forming the basis of an effectiveness metric. A weighted average of the efficiency and effectiveness defined a MADM system's overall utility. Varying the effectiveness weight provided further insight into the conditions under which particular MADM approaches exhibited higher utility values. The MADM systems found to possess the highest overall quantified utilities were based on Pugh's controlled convergence, Utility Based Axiomatic Framework, and Grey Relational Analysis. The MADM method with the lowest overall utility was the analytical hierarchy process. These findings indicate that consensus building and utility-based MADM systems are especially helpful to engineering design teams during the early design phases of novel technologies when resources are constrained or historical data is limited.