@inproceedings{6f11e06d3ea44ce9a9ed978daf8d8503,
title = "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.",
keywords = "Automated disassembly, Disassembly planning, Genetic algorithm, Intelligent disassembly",
author = "Soran Parsa and Mozafar Saadat",
year = "2018",
doi = "10.3233/978-1-61499-902-7-189",
language = "English",
series = "Advances in Transdisciplinary Engineering",
publisher = "IOS Press BV",
pages = "189--194",
editor = "Keith Case and Peter Thorvald",
booktitle = "Advances in Manufacturing Technology XXXII - Proceedings of the 16th International Conference on Manufacturing Research, ICMR 2018, incorporating the 33rd National Conference on Manufacturing Research",
note = "16th International Conference on Manufacturing Research, ICMR 2018 ; Conference date: 11-09-2018 Through 13-09-2018",
}