Title :
A new algorithm for IFFD generation
Author :
Liou, M. ; Dietz, H. ; Moskowitz, H. ; Plante, R.
Author_Institution :
Purdue Univ., West Lafayette, IN, USA
Abstract :
The authors describes the automated generation of optimal irregular fractional factorial designs (IFFDs), and for regular maximal subset designs (MSDs), for processes involving 2-level factors. They describe mechanisms on separating out confounded effects and new, efficient methods for IFFD generation. It is concluded that, although finding IFFD solutions by using a seed set of tests as a restriction shows some promise as a way to limit the search space, much work needs to be orchestrated toward solving a requirement set containing higher-order interactions
Keywords :
design engineering; 2-level factors; algorithm; optimal irregular fractional factorial designs; regular maximal subset designs; Automatic testing; Buildings; Computer errors; Engineering management; Intelligent manufacturing systems; Manufacturing industries; Manufacturing processes; Performance evaluation; Process design; Productivity;
Conference_Titel :
Technology Management : the New International Language
Conference_Location :
Portland, OR
Print_ISBN :
0-7803-0161-7
DOI :
10.1109/PICMET.1991.183652