10th International Conference on Axiomatic Design, ICAD 2016
Source of Publication
Design methodologies devote a great degree of effort on deciphering, decomposing, and simplifying problems. This approach is particularly true in Axiomatic Design to the point that inability to simplify and understand a situation is defined as complexity. The approach with Axiomatic Design is to avoid complexity because complexity is assumed to make a reliable solution intractable. What if an unreliable situation is needed? This paper explores the concept of "desirable complexity", an application of Suh's complexity for fields which want to create problems or challenges rather than eliminating them: puzzles, sabotage, physical security, and unique identification. In these areas, inverting AD complexity theory gives suggestions to making duplication and solution discovery challenging by creating seemingly unsolvable problems.
Problem solving, Axiomatic Design, complexity, protection, Complexity theory, Design Methodology, nocv2, Physical security, Unique identifications, Unsolvable problems
J T. Foley, E Puik, and David S. Cochran (2016).
Desirable Complexity. Procedia CIRP.53, 101-106. Elsevier.Presented at 10th International Conference on Axiomatic Design, ICAD 2016, Xi'an; China.