Adaptive fuzzy system for disassembly process planning

Disassembly is rapidly growing in importance as manufacturers face increasing pressure to deal with obsolete products in an environmentally responsible and economically sound manner. This paper builds, upon our previous work to address uncertainty management and human factors in disassembly. A fuzzy Petri net (FPN) model is proposed to mathematically represent uncertain factors in disassembly. An adaptive fuzzy system is then designed to dynamically estimate their impact on the disassembly process. Finding the disassembly path of a discarded product with the highest economic value and prediction confidence is accomplished through a recursive algorithm.