2010 年 15 巻 1 号 p. 71-76
When a product reaches its end-of-life (EOL), it can be reused, remanufactured, recycled or disposed of. Often, in most of these processes, a certain level of disassembly may be necessary to separate components and materials. Therefore, optimal disassembly sequences are important to increase the efficiency of the disassembly. Since the complexity of the disassembly sequencing problem dramatically increases with the increase in the number of products and component types, we propose an evolutionary computational approach to solve it. Specifically, we use Genetic Algorithm (GA) to solve the problem. A numerical example is considered to illustrate the use of this methodology.