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

• 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

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...