Ganesan Kanagaraj,∗ Raju Naresh,∗ and Vincent F. Yu∗∗


  1. [1] Y. Fang, Q. Liu, M. Li, Y. Laili, and D.T. Pham, Evolutionary many-objective optimization for mixed-model disassembly line balancing with multi-robotic workstations, European Journal of Operational Research, 276(1), 2019, 160–174.
  2. [2] J.L. Sager and M.R. Schmehl, U.S. Patent No. 5,040,056, U.S. Patent and Trademark Office, Washington, DC, 1991.
  3. [3] J. Liu, Z. Zhou, D.T. Pham, W. Xu, C. Ji, and Q. Liu, Collaborative optimization of robotic disassembly sequence planning and robotic disassembly line balancing problem using improved discrete Bees algorithm in remanufacturing, Robotics and Computer-Integrated Manufacturing, 61, 2020, 101829.
  4. [4] A. Gungor, S.M. Gupta, K. Pochampally, and S.V. Kamarthi, Complications in disassembly line balancing, in Environmentally conscious manufacturing, Vol. 4193 (Bellingham, Washington: International Society for Optics and Photonics, 2001), 289–298.
  5. [5] B. Basdere and G. Seliger, Disassembly factories for electrical and electronic products to recover resources in product and material cycles, Environmental Science & Technology, 37(23), 2003, 5354–5362.
  6. [6] P. Gil, J. Pomares, S.V.P.C. Diaz, Candelas, and F. Torres, Flexible multi-sensorial system for automatic disassembly using cooperative robots, International Journal of Computer Integrated Manufacturing, 20(8), 2007, 757–772.
  7. [7] J.R. Duflou, G. Seliger, S. Kara, Y. Umeda, A. Ometto, and B. Willems, Efficiency and feasibility of product disassembly: A case-based study, CIRP Annals, 57(2), 2008, 583–600.
  8. [8] J. Li, M. Barwood, and S. Rahimifard, A multi-criteria assessment of robotic disassembly to support recycling and recovery, Resources, Conservation and Recycling, 140, 2019, 158–165.
  9. [9] C.S. D´ıaz Baca, S.T. Puente Méndez, and F. Torres, Automatic cooperative disassembly robotic system, Proceedings of the Sixth IASTED International Conference on Robotics and Applications: October 31–November 2, 2005, Cambridge, MA, USA, 2005, 197–202. ISBN 0-88986-521-3.
  10. [10] P. Yuan, M. Moallem, and R.V. Patel, A feedback scheduling framework for real-time robotic assembly systems, International Journal of Robotics and Automation, 24(1), 2009, 10.
  11. [11] P.P.A. Kumar, R. Maheswaran, and M.S.V. Raj, A modified particle swarm optimization to improve precision of complex assembly, International Journal of Robotics and Automation, 31(4), 2016. DOI: 10.2316/Journal.206.2016.4.206-4483.
  12. [12] Y. Fang, H. Ming, M. Li, Q. Liu, and D.T. Pham, Multiobjective evolutionary simulated annealing optimisation for mixed-model multi-robotic disassembly line balancing with interval processing time, International Journal of Production Research, 58(3), 2020, 846–862.
  13. [13] E. ¨Ozceylan, C.B. Kalayci, A. Güngör, and S.M. Gupta, Disassembly line balancing problem: a review of the state of the art and future directions, International Journal of Production Research, 57(15–16), 2019, 4805–4827.
  14. [14] S.M. McGovern and S.M. Gupta, Combinatorial optimization analysis of the unary NP-complete disassembly line balancing problem, International Journal of Production Research, 45(18–19), 2007, 4485–4511.
  15. [15] S. Mete, Z.A. Cil, K. Apak, E. ¨Ozceylan, and A. Dolgui, A solution approach based on beam search algorithm for disassembly line balancing problem, Journal of Manufacturing Systems, 41, 2016, 188–200.
  16. [16] A. ElSayed, E. Kongar, and S.M. Gupta, A genetic algorithm approach to end-of-life disassembly sequencing for robotic disassembly, Proc. of the Northeast Decision Sciences Institute Conf., NEDSI 2010, Alexandria, VA, USA, 2010, 26–28.
  17. [17] M. Alshibli, A. El Sayed, E. Kongar, T.M. Sobh, and S.M. Gupta, Disassembly sequencing using tabu search. Journal of Intelligent & Robotic Systems, 82(1), 2016, 69–79.
  18. [18] J. Liu, Z. Zhou, D.T. Pham, W. Xu, J. Yan, A. Liu, and Q. Liu, An improved multi-objective discrete bee’s algorithm for robotic disassembly line balancing problem in remanufacturing, The International Journal of Advanced Manufacturing Technology, 97(9–12), 2018, 3937–3962.
  19. [19] Q. Lu, Y. Ren, H. Jin, L. Meng, L. Li, C. Zhang, and J.W. Sutherland, A hybrid metaheuristic algorithm for a profitoriented and energy-efficient disassembly sequencing problem, Robotics and Computer-Integrated Manufacturing, 61, 2020, 101828.
  20. [20] Y. Tang, M. Zhou, E. Zussman, and R. Caudill, Disassembly modeling, planning, and application, Journal of Manufacturing Systems, 21(3), 2002, 200.
  21. [21] A. Yoosefelahi, M. Aminnayeri, H. Mosadegh, and H.D. Ardakani, Type II robotic assembly line balancing problem: An evolution strategies algorithm for a multi-objective model, Journal of Manufacturing Systems, 31(2), 2012, 139–151.
  22. [22] A. Koc, I. Sabuncuoglu, and E. Erel, Two exact formulations for disassembly line balancing problems with task precedence diagram construction using an AND/OR graph, IIE Transactions, 41(10), 2009, 866–881.
  23. [23] G. Levitin, J. Rubinovitz, and B. Shnits, A genetic algorithm for robotic assembly line balancing, European Journal of Operational Research, 168(3), 2006, 811–825.

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