An analytical hierarchy approach to facility layout
Computers and Industrial Engineering
DDM: decision support system for hierarchical dynamic decision making
Decision Support Systems
Identifying controlling features of engineering design iteration
Management Science
Integrated data management in complex product collaborative design
Computers in Industry
Accelerating design convergence using the degree of permissible concurrency
Proceedings of the 2009 conference on Information Science, Technology and Applications
Extension of axiomatic design principles under fuzzy environment
Expert Systems with Applications: An International Journal
Axiomatic design approach for e-commercial web sites
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: interaction design and usability
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Engineering designs involving multiple factors that interact with one another have drawn researchers' attention for decades. In today's competitive global market, which demands rapid response to customer needs, speeding up the product development process has become more crucial than ever. Axiomatic Design (AD) is one design theory that provides a systematic approach to engineering design. Based on the independence axiom in AD, unacceptable solutions can be identified in a domain mapping process during the early design stage. As AD accepts only uncoupled and decoupled designs, design solutions with interacting parameters are not considered appropriate. However, many engineering designs do involve couplings, especially for the design of large and complex systems, even though these couplings may have various degrees of strength. To expedite the design process, design engineers may ignore some weak couplings that have little influence on the design outcome so that the design tasks can proceed with fewer interactions. The intention of this research is to develop methods for measuring functional dependency and sequencing of coupled tasks in engineering design so as to improve the design process. First, we rearrange the design matrix using partitioning algorithm to reveal the structure and sequence of design processes. Next, the Analytic Hierarchy Process (AHP) is applied to measure the strength of the coupled design tasks. To reduce the comparison effort in AHP, a comparison scale assignment algorithm is developed. Finally, we provide an algorithm for finding the best processing sequence of the coupled tasks in terms of the measured coupling strengths. The effectiveness of our proposed method is demonstrated by an illustrative example showing the design of a one-time-use camera.