Multiverse Optimization Algorithm for Stochastic Biobjective Disassembly Sequence Planning Subject to Operation Failures

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 ec...

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Bibliographic Details
Published in:	IEEE transactions on systems, man, and cybernetics. Systems Vol. 52; no. 2; pp. 1041 - 1051
Main Authors:	Fu, Yaping, Zhou, MengChu, Guo, Xiwang, Qi, Liang, Sedraoui, Khaled
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.02.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Confidence intervals Constraint modelling Disassembly failure risk disassembly sequence planning (DSP) problem Disassembly sequences Dismantling End of life Energy consumption Hidden Markov models multiobjective multiverse optimization algorithm Multiple objective analysis Optimization Optimization algorithms Planning Remanufacturing Stochastic processes stochastic simulation Task analysis Uncertainty
ISSN:	2168-2216, 2168-2232
Online Access:	Get full text
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