TEXT MINING OF RESILIENT OBJECTS ABSORBING CHANGE AND UNCERTAINTY

Abstract The current ways of coping with uncertainty such as changes during product design or use have been through methods easy restructuring (e.g., modularity buffer in interface definition), by overdesign and so on. present investments on maintaining products the economy for “as long possible” is challenging these strategies from a cost environmental perspective. Moreover, often lead to highly overdesigned products. An alternative strategy introduce features design, called “resilient objects”, which are able absorb uncertainties without wasteful other parts. By applying ‘text-mining’ approach patents, this paper has identified 5,552 candidates resilient objects that can be recombined inserted regions likely most affected future uncertainties. application demonstrated case study (a cooling system battery electric vehicles). highlights ability 1) significantly increase protection against need restructuring, 2 ) reduce risk 3) dampen effects change propagation.