Genetic Algorithm for Disassembly Sequencing
Ahmed El Sayed, Ph.D. Candidate, Computer Science
End-of-life (EOL) processing options include reuse, remanufacturing, recycling and proper disposal. In almost all cases, a certain level of disassembly may be required due to possible changes in the original product structure. Thus, finding an optimal (or near optimal) disassembly sequence is crucial to increasing the efficiency of the process. Disassembly operations are labor intensive, can be costly, have unique characteristics and cannot be considered as reverse of assembly operations. Since the complexity of determining the best disassembly sequence increases as the number of parts of the product grow, it is crucial that an efficient methodology for disassembly sequencing be developed. In this project, we present a Genetic Algorithm for disassembly sequencing of EOL products.
Creating and Environmentally Benign Campus
“Establishing an Environmental Sustainability Program at the University of Bridgeport” project will enrich engineering research at the University with the goal of promoting sustainable engineered systems that support human well-being and that are also compatible with sustaining natural (environmental) systems which provide ecological services vital for human survival.