Robotic disassembly sequence planning using enhanced discrete bees algorithm in remanufacturing

References

• Alshibli, M., A. ElSayed, E. Kongar, T. M. Sobh, and S. M. Gupta. 2015. “Disassembly Sequencing Using Tabu Search.” Journal of Intelligent & Robotic Systems 82 (1): 1–11. doi:10.1007/s10846-015-0289-9.
   Web of Science ®Google Scholar
• Constantinescu, D., and E. A. Croft. 2000. “Smooth and Time-Optimal Trajectory Planning for Industrial Manipulators along Specified Paths.” Journal of Robotic Systems 17 (5): 233–249. doi: 10.1002/(SICI)1097-4563(200005)17:5<233::AID-R OB1>3.0.CO;2-Y.
   Web of Science ®Google Scholar
• Diallo, C., U. Venkatadri, A. Khatab, and S. Bhakthavatchalam. 2017. “State of the Art Review of Quality, Reliability and Maintenance Issues in Closed-Loop Supply Chains with Remanufacturing.” International Journal of Production Research 55 (5): 1277–1296. doi:10.1080/00207543.2016.1200152.
   Web of Science ®Google Scholar
• ElSayed, A., E. Kongar, and S. M. Gupta. 2010. “A Genetic Algorithm Approach to End-of-Life Disassembly Sequencing for Robotic Disassembly.” In Proceedings of the 2010 Northeast Decision Sciences Institute Conference, 402–408. Alexandria.
   Google Scholar
• ElSayed, A., E. Kongar, S. M. Gupta, and T. Sobh. 2011. “An Online Genetic Algorithm for Automated Disassembly Sequence Generation.” In Proceedings of ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engine0ering Conference, 657–664.Washington, DC: American Society of Mechanical Engineers. doi:10.1115/DETC2011-48635.
   Google Scholar
• ElSayed, A., E. Kongar, S. M. Gupta, and T. Sobh. 2012. “A Robotic-Driven Disassembly Sequence Generator for End-of-Life Electronic Products.” Journal of Intelligent & Robotic Systems 68 (1): 43–52. doi:10.1007/s10846-012-9667-8.
   Web of Science ®Google Scholar
• Go, T. F., D. A. Wahab, M. A. Rahman, R. Ramli, and A. Hussain. 2012. “Genetically Optimised Disassembly Sequence for Automotive Component Reuse.” Expert Systems with Applications 39 (5): 5409–5417. doi:10.1016/j.eswa.2011.11.044.
   Web of Science ®Google Scholar
• Guide, V. D. R. 2000. “Production Planning and Control for Remanufacturing: Industry Practice and Research Needs.” Journal of Operations Management 18 (4): 467–483. doi:10.1016/S0272-6963(00)00034-6.
   Web of Science ®Google Scholar
• Hoge. 2017. “Gear Pump (10L/Min).” GRABCAD COMMUNITY. Accessed February 3, 2017. https://grabcad.com/library/gear-pump-10l-min-1
   Google Scholar
• Jin, G. Q., W. D. Li, and K. Xia. 2013. “Disassembly Matrix for Liquid Crystal Displays Televisions.” Procedia CIRP 11: 357–362. doi:10.1016/j.procir.2013.07.015.
   Google Scholar
• Jin, G. Q., W. D. Li, S. Wang, and S. M. Gao. 2015. “A Systematic Selective Disassembly Approach for Waste Electrical and Electronic Equipment with Case Study on Liquid Crystal Display Televisions.” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture Special issue: 1–18. doi:10.1177/0954405415575476.
   Web of Science ®Google Scholar
• Kheder, M., M. Trigui, and N. Aifaoui. 2015. “Disassembly Sequence Planning Based on a Genetic Algorithm.” Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 229 (12): 2281–2290. doi:10.1177/0954406214557340.
   Web of Science ®Google Scholar
• Kim, H. W., and D. H. Lee. 2017. “An Optimal Algorithm for Selective Disassembly Sequencing with Sequence-Dependent Set-Ups in Parallel Disassembly Environment.” International Journal of Production Research 1–17. doi:10.1080/00207543.2017.1342879.
   Web of Science ®Google Scholar
• Lambert, A. J. D. 2003. “Disassembly Sequencing: A Survey.” International Journal of Production Research 41 (16): 3721–3759. doi:10.1080/0020754031000120078.
   Web of Science ®Google Scholar
• Luo, Y. T., Q. J. Peng, and P. H. Gu. 2016. “Integrated Multi-Layer Representation and Ant Colony Search for Product Selective Disassembly Planning.” Computers in Industry 75: 13–26. doi:10.1016/j.compind.2015.10.011.
   Web of Science ®Google Scholar
• Meng, K., P. H. Lou, X. H. Peng, and V. Prybutok. 2016. “An Improved Co-Evolutionary Algorithm for Green Manufacturing by Integration of Recovery Option Selection and Disassembly Planning for End-of-Life Products.” International Journal of Production Research 54 (18): 5567–5593. doi:10.1080/00207543.2016.1176263.
   Web of Science ®Google Scholar
• Percoco, G., and M. Diella. 2013. “Preliminary Evaluation of Artificial Bee Colony Algorithm When Applied to Multi Objective Partial Disassembly Planning.” Research Journal of Applied Sciences, Engineering and Technology 6 (17): 3234–3243.
   Google Scholar
• Pham, D. T., and A. Ghanbarzadeh. 2007. “Multi-Objective Optimisation Using the Bees Algorithm.” In Proceedings of IPROMS 2007 Conference, 529–533. Cardiff.
   Google Scholar
• Ren, Y. P., D. Y. Yu, C. Y. Zhang, G. D. Tian, L. L. Meng, and X. Q. Zhou. 2017. “An Improved Gravitational Search Algorithm for Profit-Oriented Partial Disassembly Line Balancing Problem.” International Journal of Production Research. doi:10.1080/00207543.2017.1341066.
   PubMed Web of Science ®Google Scholar
• Song, X. W., W. D. Zhou, X. X. Pan, and K. Feng. 2014. “Disassembly Sequence Planning for Electro-Mechanical Products under a Partial Destructive Mode.” Assembly Automation 34 (1): 106–114. doi:10.1108/AA-01-2013-006.
   Web of Science ®Google Scholar
• Tao, F., D. M. Zhao, Y. F. Hu, and Z. D. Zhou. 2008. “Resource Service Composition and Its Optimal-Selection Based on Particle Swarm Optimization in Manufacturing Grid System.” IEEE Transactions on Industrial Informatics 4 (4): 315–327. doi:10.1109/TII.2008.2009533.
   Web of Science ®Google Scholar
• Tao, F., J. F. Cheng, Q. L. Qi, M. Zhang, H. Zhang, and F. Y. Sui. 2017. “Digital Twin-Driven Product Design, Manufacturing and Service with Big Data.” The International Journal of Advanced Manufacturing Technology. doi:10.1007/s00170-017-0233-1.
   Web of Science ®Google Scholar
• Tao, F., J. F. Cheng, Y. Cheng, S. X. Gu, T. Y. Zheng, and H. Yang. 2017. “SDMSim: A Manufacturing Service Supply–Demand Matching Simulator under Cloud Environment.” Robotics and Computer-Integrated Manufacturing 45: 34–46. doi:10.1016/j.rcim.2016.07.001.
   Web of Science ®Google Scholar
• Tian, G. D., M. C. Zhou, and J. W. Chu. 2013. “A Chance Constrained Programming Approach to Determine the Optimal Disassembly Sequence.” IEEE Transactions on Automation Science and Engineering 10 (4): 1004–1013. doi:10.1109/TASE.2013.2249663.
   Web of Science ®Google Scholar
• Vongbunyong, S., S. Kara, and M. Pagnucco. 2012. “A Framework for Using Cognitive Robotics in Disassembly Automation.” In Proceedings of the 19th CIRP International Conference on Life Cycle Engineering, 173–178. Berkeley: Springer. doi:10.1007/978-3-642-29069-5_30.
   Google Scholar
• Vongbunyong, S., S. Kara, and M. Pagnucco. 2013a. “Basic Behaviour Control of the Vision-Based Cognitive Robotic Disassembly Automation.” Assembly Automation 33 (1): 38–56. doi:10.1108/01445151311294694.
   Web of Science ®Google Scholar
• Vongbunyong, S., S. Kara, and M. Pagnucco. 2013b. “Application of Cognitive Robotics in Disassembly of Products.” CIRP Annals-Manufacturing Technology 62 (1): 31–34. doi:10.1016/j.cirp.2013.03.037.
   Web of Science ®Google Scholar
• Vongbunyong, S., S. Kara, and M. Pagnucco. 2015. “Learning and Revision in Cognitive Robotics Disassembly Automation.” Robotics and Computer-Integrated Manufacturing 34: 79–94. doi:10.1016/j.rcim.2014.11.003.
   Web of Science ®Google Scholar
• Xia, K., L. Gao, W. D. Li, L. H. Wang, and K. M. Chao. 2014. “A Q-Learning Based Selective Disassembly Planning Service in the Cloud Based Remanufacturing System for Weee.” In Proceedings of ASME 2014 International Manufacturing Science and Engineering Conference, V001T04A012–V001T04A012. Detroit, MI: American Society of Mechanical Engineers. doi:10.1115/MSEC2014-4008.
   Google Scholar
• Xia, K., L. Gao, W. D. Li, and K. M. Chao. 2014. “Disassembly Sequence Planning Using a Simplified Teaching–Learning-Based Optimization Algorithm.” Advanced Engineering Informatics 28 (4): 518–527. doi:10.1016/j.aei.2014.07.006.
   Web of Science ®Google Scholar
• Xing, Y. F., C. E. Wang, and Q. Liu. 2012. “Disassembly Sequence Planning Based on Pareto Ant Colony Algorithm.” Journal of Mechanical Engineering 48 (9): 186–192. doi:10.3901/JME.2012.09.186.
   Google Scholar
• Xu, J., S. Y. Zhang, and S. M. Fei. 2011. “Product Remanufacture Disassembly Planning Based on Adaptive Particle Swarm Optimization Algorithm.” Journal of Zhejiang University. Engineering Science 45 (10): 1746–1752. doi:10.3785/j.issn.1008-973X.2011.10.008.
   Google Scholar
• Xu, W. J., S. S. Tian, Q. Liu, Y. Q. Xie, Z. D. Zhou, and D. T. Pham. 2016. “An Improved Discrete Bees Algorithm for Correlation-Aware Service Aggregation Optimization in Cloud Manufacturing.” The International Journal of Advanced Manufacturing Technology 84 (1–4): 17–28. doi:10.1007/s00170-015-7738-2.
   Web of Science ®Google Scholar
• Yeh, W. C. 2012. “Optimization of the Disassembly Sequencing Problem on the Basis of Self-Adaptive Simplified Swarm Optimization.” IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans 42 (1): 250–261. doi:10.1109/TSMCA.2011.2157135.
   Web of Science ®Google Scholar
• Yuce, B., M. S. Packianather, E. Mastrocinque, D. T. Pham, and A. Lambiase. 2013. “Honey Bees Inspired Optimization Method: The Bees Algorithm.” Insects 4 (4): 646–662. doi:10.3390/insects4040646.
   PubMedGoogle Scholar