Paper Info
Title
Multiverse Optimization Algorithm for Stochastic Biobjective Disassembly Sequence Planning Subject to Operation Failures
Abstract
Disassembly is an essential step in a remanufacturing process via which valuable parts and material of end-of-life (EOL) products can be well reused and resource waste is reduced. Disassembly sequence planning focuses on finding the best disassembly sequence for a given EOL product by considering economic and environmental performance. In a practical disassembly process, one may face a disassembly...
Year
DOI
Venue
2022
10.1109/TSMC.2021.3049323
IEEE Transactions on Systems, Man, and Cybernetics: Systems
Keywords
DocType
Volume
Optimization,Stochastic processes,Uncertainty,Energy consumption,Hidden Markov models,Task analysis,Planning
Journal
52
Issue
ISSN
Citations 
2
2168-2216
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Yaping Fu100.34
MengChu Zhou28989534.94
Xiwang Guo300.34
Liang Qi415627.14
Khaled Sedraoui5274.19