A Pareto-discrete hummingbird algorithm for partial sequence-dependent disassembly line balancing problem considering tool requirements
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Title
A Pareto-discrete hummingbird algorithm for partial sequence-dependent disassembly line balancing problem considering tool requirements
Authors
Keywords
Sequence-dependent disassembly line, Partial disassembly, Pareto-discrete hummingbird algorithm, Tool requirements, Multiple-objective optimization
Journal
JOURNAL OF MANUFACTURING SYSTEMS
Volume 60, Issue -, Pages 406-428
Publisher
Elsevier BV
Online
2021-07-10
DOI
10.1016/j.jmsy.2021.07.005
References
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- Multi-objective evolutionary simulated annealing optimisation for mixed-model multi-robotic disassembly line balancing with interval processing time
- (2019) Yilin Fang et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties
- (2019) Hui Li et al. Swarm and Evolutionary Computation
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- (2019) Yinsheng Yang et al. JOURNAL OF CLEANER PRODUCTION
- On the end-of-life state oriented multi-objective disassembly line balancing problem
- (2019) Lixia Zhu et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Profit-oriented partial disassembly line design: dealing with hazardous parts and task processing times uncertainty
- (2018) Mohand Lounes Bentaha et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- A new distribution-free model for disassembly line balancing problem with stochastic task processing times
- (2018) Feifeng Zheng et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- A Pareto firefly algorithm for multi-objective disassembly line balancing problems with hazard evaluation
- (2018) Lixia Zhu et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Disassembly line balancing problem: a review of the state of the art and future directions
- (2018) Eren Özceylan et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Disassembly line balancing problem using interdependent weights-based multi-criteria decision making and 2-Optimal algorithm
- (2018) Yaping Ren et al. JOURNAL OF CLEANER PRODUCTION
- Integrated framework of disassembly line balancing with Green and business objectives using a mixed MCDM
- (2018) Yigit Kazancoglu et al. JOURNAL OF CLEANER PRODUCTION
- A Pareto improved artificial fish swarm algorithm for solving a multi-objective fuzzy disassembly line balancing problem
- (2017) Zeqiang Zhang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Disassembly line balancing using linear physical programming
- (2017) Mehmet Ali Ilgin et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Assessing the cost structure of component reuse in a product family for remanufacturing
- (2016) Wenyuan Wang et al. JOURNAL OF INTELLIGENT MANUFACTURING
- A solution approach based on beam search algorithm for disassembly line balancing problem
- (2016) Süleyman Mete et al. JOURNAL OF MANUFACTURING SYSTEMS
- Trends and research challenges in remanufacturing
- (2016) Mitsutaka Matsumoto et al. International Journal of Precision Engineering and Manufacturing-Green Technology
- Second order conic approximation for disassembly line design with joint probabilistic constraints
- (2015) Mohand Lounes Bentaha et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Disassembly line balancing under high variety of end of life states using a joint precedence graph approach
- (2015) Robert J. Riggs et al. JOURNAL OF MANUFACTURING SYSTEMS
- Multi-objective fuzzy disassembly line balancing using a hybrid discrete artificial bee colony algorithm
- (2015) Can B. Kalayci et al. JOURNAL OF MANUFACTURING SYSTEMS
- A variable neighbourhood search algorithm for disassembly lines
- (2015) Can B. Kalayci et al. Journal of Manufacturing Technology Management
- A hybrid genetic algorithm for sequence-dependent disassembly line balancing problem
- (2014) Can B. Kalayci et al. ANNALS OF OPERATIONS RESEARCH
- Artificial bee colony algorithm for solving sequence-dependent disassembly line balancing problem
- (2013) Can B. Kalayci et al. EXPERT SYSTEMS WITH APPLICATIONS
- A particle swarm optimization algorithm with neighborhood-based mutation for sequence-dependent disassembly line balancing problem
- (2013) Can B. Kalayci et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Mixed model disassembly line balancing problem with fuzzy goals
- (2013) Turan Paksoy et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- A Fuzzy AHP and PROMETHEE method-based heuristic for disassembly line balancing problems
- (2013) Shwetank Avikal et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- A tabu search algorithm for balancing a sequence-dependent disassembly line
- (2013) Can B. Kalayci et al. PRODUCTION PLANNING & CONTROL
- Ant colony optimization for sequence‐dependent disassembly line balancing problem
- (2013) Can B. Kalayci et al. Journal of Manufacturing Technology Management
- Solving large scale disassembly line balancing problem with uncertainty using reinforcement learning
- (2012) Emre Tuncel et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Toward a resilient manufacturing system
- (2011) W.J. Zhang et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- Task-failure-driven rebalancing of disassembly lines
- (2011) F. Tevhide Altekin et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- On the principle of design of resilient systems – application to enterprise information systems
- (2010) W. J. Zhang et al. Enterprise Information Systems
- HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization
- (2010) Johannes Bader et al. EVOLUTIONARY COMPUTATION
- Two exact formulations for disassembly line balancing problems with task precedence diagram construction using an AND/OR graph
- (2009) Ali Koc et al. IIE TRANSACTIONS
- Profit-oriented disassembly-line balancing
- (2008) F. Tevhide Altekin et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- A collaborative ant colony algorithm to stochastic mixed-model U-shaped disassembly line balancing and sequencing problem
- (2006) S. Agrawal et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
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