Intelligent Planning Using Genetic Algorithm for Automated Disassembly

Abstract

Intelligent disassembly process planning is a relatively new approach to deal with the end-of-life (EOF) products. Demands for recycling and remanufacturing EOF products, limitation of the natural resources and new environmental regulations make an efficient disassembly process vital. The main problem to find an efficient plan for disassembly process is that the number of possible sequences rises dramatically with the number of the parts and makes it NP-hard type problem. An effective method to optimize the disassembly sequences is using genetic algorithm (GA). In this work, a genetic algorithm method based on robotic disassembly process was successfully used to optimize robotic disassembly sequence of a case study product.