0
Views
0
CrossRef citations to date
0
Altmetric
Digital Twin Transition for Intelligent and Resilient Industrial Systems

Integrated optimisation of human-robot collaborative disassembly planning and adaptive evaluation driven by a digital twin

, , , , , & show all
Received 30 Nov 2023, Accepted 12 Jul 2024, Published online: 28 Jul 2024

References

  • Amirnia, A., and S. Keivanpour. 2023. “A Context-aware Real time Human-robot Collaborating Reinforcement Learning based Disassembly Planning Model Under Uncertainty.” International Journal of Production Research 62 (11): 3972–3993. https://doi.org/10.1080/00207543.2023.2252526.
  • Cai, M., R. S. Liang, X. G. Luo, and C. Liu. 2022. “Task Allocation Strategies Considering Task Matching and Ergonomics in the Human-robot Collaborative Hybrid Assembly Cell.” International Journal of Production Research 61 (21): 7213–7232. https://doi.org/10.1080/00207543.2022.2147234.
  • Chen, Z. Y., and L. Z. Huang. 2021. “Digital Twins for Information-sharing in Remanufacturing Supply Chain: A Review.” Energy 220:119712. https://doi.org/10.1016/j.energy.2020.119712.
  • Chu, M. L., and W. D. Chen. 2023. “Human-robot Collaboration Disassembly Planning for End-of-life Power Batteries.” Journal of Manufacturing Systems 69:271–291. https://doi.org/10.1016/j.jmsy.2023.06.014.
  • Desai, A., and A. Mital. 2003. “Evaluation of Disassemblability to Enable Design for Disassembly in Mass Production.” International Journal of Industrial Ergonomics 32 (4): 265–281. https://doi.org/10.1016/S0169-8141(03)00067-2.
  • Dolgui, A., F. Sgarbossa, and M. Simonetto. 2021. “Design and Management of Assembly Systems 4.0: Systematic Literature Review and Research Agenda.” International Journal of Production Research 60 (1): 184–210. https://doi.org/10.1080/00207543.2021.1990433.
  • Fang, Y. L., Z. Y. Li, S. W. Wang, and X. W. Lu. 2023. “Multiobjective Multifidelity Optimization for Position-constrained Human-robot Collaborative Disassembly Planning.” International Journal of Production Research 62 (11): 3872–3889.
  • Feng, Y. X., K. Y. Cui, Z. X. Hong, Z. Li, W. Yan, and J. Tan. 2023. “Disassembly Sequence Planning of Product Structure with an Improved QICA Considering Expert Consensus for Remanufacturing.” IEEE Transactions on Industrial Informatics 19 (5): 7201–7213. https://doi.org/10.1109/TII.2022.3231922.
  • Feng, Y. X., M. C. Zhou, G. D. Tian, Z. W. Li, Z. F. Zhang, Q. Zhang, and J. R. Tan. 2019. “Target Disassembly Sequencing and Scheme Evaluation for CNC Machine Tools Using Improved Multiobjective Ant Colony Algorithm and Fuzzy Integral.” IEEE Transactions on Systems, Man, and Cybernetics: Systems 49:2438–2451.
  • Finco, S., M. A. Abdous, M. Calzavara, D. Battini, and X. Delorme. 2021. “A Bi-objective Model to Include Workers’ Vibration Exposure in Assembly Line Design.” International Journal of Production Research 59 (13): 4017–4032. https://doi.org/10.1080/00207543.2020.1756512.
  • Ghorbani, H., and F. Khameneifar. 2022. “Construction of Damage-free Digital Twin of Damaged Aero-engine Blades for Repair Volume Generation in Remanufacturing.” Robotics and Computer-Integrated Manufacturing 77:102335. https://doi.org/10.1016/j.rcim.2022.102335.
  • Guo, L., Z. Q. Zhang, and X. F. Zhang. 2023. “Human-robot Collaborative Partial Destruction Disassembly Sequence Planning Method for End-of-life Product Driven by Multifailures.” Advanced Engineering Informatics 55:101821. https://doi.org/10.1016/j.aei.2022.101821.
  • Hjorth, S., and D. Chrysostomou. 2022. “Human-robot Collaboration in Industrial Environments: A Literature Review on Nondestructive Disassembly.” Robotics and Computer-Integrated Manufacturing 73:102208. https://doi.org/10.1016/j.rcim.2021.102208.
  • Huang, J., D. T. Pham, R. Y. Li, M. Qu, Y. Wang, M. Kerin, S. Su, et al. 2021. “An Experimental Human-robot Collaborative Disassembly Cell.” Computers & Industrial Engineering 155:107189. https://doi.org/10.1016/j.cie.2021.107189.
  • Ivanov, D. 2023. “Conceptualisation of A 7-element Digital Twin Framework in Supply Chain and Operations Management.” International Journal of Production Research 62 (6): 2220–2232.
  • Kerin, M., N. Hartono, and D. T. Pham. 2023. “Optimizing Remanufacturing Decision-making Using the Bees Algorithm in Product Digital Twins.” Scientific Reports 13 (1): 701. https://doi.org/10.1038/s41598-023-27631-2.
  • Kizilay, D. 2022. “A Novel Constraint Programming and Simulated Annealing for Disassembly Line Balancing Problem with AND/OR Precedence and Sequence Dependent Setup Times.” Computers & Operations Research 146 (8): 1–16.
  • Kongar, E., and S. M. Gupta. 2006. “Disassembly Sequencing Using Genetic Algorithm.” The International Journal of Advanced Manufacturing Technology 30 (5-6): 497–506. https://doi.org/10.1007/s00170-005-0041-x.
  • Kusiak, A. 2022. “Predictive Models in Digital Manufacturing: Research, Applications, and Future Outlook.” International Journal of Production Research 61 (17): 6052–6062. https://doi.org/10.1080/00207543.2022.2122620.
  • Lee, M. L., S. Behdad, X. Liang, and M. H. Zheng. 2022. “Task Allocation and Planning for Product Disassembly with Human-robot Collaboration.” Robotics and Computer-Integrated Manufacturing 76:102306. https://doi.org/10.1016/j.rcim.2021.102306.
  • Leng, J. W., Z. Y. Chen, W. N. Sha, Z. S. Lin, J. Lin, and Q. Liu. 2022. “Digital Twins-Based Flexible Operating of Open Architecture Production Line for Individualized Manufacturing.” Advanced Engineering Informatics 53:101676. https://doi.org/10.1016/j.aei.2022.101676.
  • Leng, J. W., Z. S. Lin, Z. Q. Huang, R. J. Ye, Q. Liu, and X. Chen. 2023. “Rapid Simplification of 3D Geometry Model of Mechanisms in the Digital Twins-driven Manufacturing System Design.” Journal of Intelligent Manufacturing 35:2765–2786. https://doi.org/10.1007/s10845-023-02178-1.
  • Leng, J. W., M. Zhou, Y. X. Xiao, H. Zhang, Q. Liu, W. Shen, Q. Su, and L. Li. 2021. “Digital Twins-based Remote Semi-physical Commissioning of Flow-type Smart Manufacturing Systems.” Journal of Cleaner Production 320:128836. https://doi.org/10.1016/j.jclepro.2021.128836.
  • Liu, C., D. Zeng, A. Akbar, et al. 2022. “Context-Aware Network for Semantic Segmentation Toward Large-scale Point Clouds in Urban Environments.” IEEE Transactions on Geoscience and Remote Sensing 60:1–15.
  • Lu, Y., C. Liu, I. Kevin, K. Wang, H. Huang, and X. Xu. 2020. “Digital Twin-driven Smart Manufacturing: Connotation, Reference Model, Applications and Research Issues.” Robotics and Computer-Integrated Manufacturing 61:101837. https://doi.org/10.1016/j.rcim.2019.101837.
  • Lu, Y., H. Zheng, S. Chand, W. Xia, Z. Liu, X. Xu, L. Wang, et al. 2022. “Outlook on Human-centric Manufacturing Towards Industry 5.0.” Journal of Manufacturing Systems 62:612–627. https://doi.org/10.1016/j.jmsy.2022.02.001.
  • Lv, Q., R. Zhang, X. M. Sun, Y. Lu, and J. Bao. 2021. “A Digital Twin-driven Human-robot Collaborative Assembly Approach in the Wake of COVID-19.” Journal of Manufacturing Systems 60:837–851. https://doi.org/10.1016/j.jmsy.2021.02.011.
  • Mouflih, C., R. Gaha, M. Bosch, and A. Durupt. 2023. “Improving the Sustainability of Manufactured Products: Literature Review and Challenges for Digitalization of Disassembly and Dismantling Processes.” Product Lifecycle Management PLM in Transition Times: Place of Humans and Transformative Technologies 667:630–640.
  • Ong, S. K., M. M. L. Chang, and A. Y. C. Nee. 2021. “Product Disassembly Sequence Planning: State-of-the-art, Challenges, Opportunities and Future Directions.” International Journal of Production Research 59 (11): 3493–3508. https://doi.org/10.1080/00207543.2020.1868598.
  • Prioli, J. P. J., H. M. Alrufaifi, and J. L. Rickli. 2022. “Disassembly Assessment from CAD-based Collision Evaluation for Sequence Planning.” Robotics and Computer-Integrated Manufacturing 78:102416. https://doi.org/10.1016/j.rcim.2022.102416.
  • Prioli, J. P. J., and J. L. Rickli. 2023. “Human-robot Interaction for Extraction of Robotic Disassembly Information.” International Journal of Computer Integrated Manufacturing, doi:10.1080/0951192X.2023.2257667.
  • Psarommatis, F., and G. May. 2022. “A Standardized Approach for Measuring the Performance and Flexibility of Digital Twins.” International Journal of Production Research 61 (20): 6923–6938. https://doi.org/10.1080/00207543.2022.2139005.
  • Qu, W. B., J. Li, R. Zhang, S. M. Liu, and J. S. Bao. 2023. “Adaptive Planning of Human-robot Collaborative Disassembly for End-of-life Lithium-ion Batteries Based on Digital Twin.” Journal of Intelligent Manufacturing 35:2021–2043. https://doi.org/10.1007/s10845-023-02081-9.
  • Ren, Y. P., L. L. Meng, C. Y. Zhang, F. Zhao, U. Saif, A. Huang, G. P. Mendis, and J. W. Sutherland. 2020. “An Efficient Metaheuristics for a Sequence-dependent Disassembly Planning.” Journal of Cleaner Production 245:1342–1356.
  • Rickli, J. L., and J. A. Camelio. 2013. “Multiobjective Partial Disassembly Optimization Based on Sequence Feasibility.” Journal of Manufacturing Systems 32 (1): 281–293. https://doi.org/10.1016/j.jmsy.2012.11.005.
  • Sabaghi, M., C. Mascle, and P. Baptiste. 2016. “Evaluation of Products at Design Phase for An Efficient Disassembly at End-of-life.” Journal of Cleaner Production 116:177–186. https://doi.org/10.1016/j.jclepro.2016.01.007.
  • Singh, R. K., A. R. Singh, and R. K. Yadav. 2023. “A Balanced-quantum Inspired Evolutionary Algorithm for Solving Disassembly Line Balancing Problem.” Applied Soft Computing 132:109840. https://doi.org/10.1016/j.asoc.2022.109840.
  • Tang, Y., M. C. Zhou, and M. Gao. 2006. “Fuzzy-Petri-Net-Based Disassembly Planning Considering Human Factors.” IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans 36 (4): 718–726. https://doi.org/10.1109/TSMCA.2005.853508.
  • Tao, F., X. M. Sun, J. F. Cheng, et al. 2024. “makeTwin: A Reference Architecture for Digital Twin Software Platform.” Chinese Journal of Aeronautics 37 (1): 1–18. https://doi.org/10.1016/j.cja.2023.05.002.
  • Tian, G. D., Y. M. Liu, H. Ke, and J. W. Chu. 2012. “Energy Evaluation Method and Its Optimization Models for Process Planning with Stochastic Characteristics: A Case Study in Disassembly Decision-making.” Computers & Industrial Engineering 63 (3): 553–563. https://doi.org/10.1016/j.cie.2011.08.011.
  • Tian, G. D., Y. P. Ren, Y. X. Feng, M. C. Zhou, H. H. Zhang, and J. R. Tan. 2019. “Modeling and Planning for Dual-Objective Selective Disassembly Using AND/OR Graph and Discrete Artificial Bee Colony.” IEEE Transactions on Industrial Informatics 15 (4): 2456–2468. https://doi.org/10.1109/TII.2018.2884845.
  • Verna, E., S. Puttero, G. Genta, and M. Galetto. 2023. “Toward a Concept of Digital Twin for Monitoring Assembly and Disassembly Processes.” Quality Engineering 36 (3): 453–470.
  • Vrabic, R., and P. Butala. 2012. “Assessing Operational Complexity of Manufacturing Systems Based on Statistical Complexity.” International Journal of Production Research 50 (14): 3673–3685. https://doi.org/10.1080/00207543.2011.575098.
  • Wang, X. V., L. H. Wang, A. F. Wang, X. Vincent, and L. H. Wang. 2019. “Digital Twin-based WEEE Recycling, Recovery and Remanufacturing in the Background of Industry 4.0.” International Journal of Production Research 57 (12): 3892–3902. https://doi.org/10.1080/00207543.2018.1497819.
  • Xu, W. J., J. Cui, B. Liu, et al. 2021. “Human-robot Collaborative Disassembly Line Balancing Considering the Safe Strategy in Remanufacturing.” Journal of Cleaner Production 324:129158. https://doi.org/10.1016/j.jclepro.2021.129158.
  • Xu, W. J., Q. Tang, J. Y. Liu, Z. Liu, Z. Zhou, and D. T. Phamc. 2020. “Disassembly Sequence Planning Using Discrete Bees Algorithm for Human-robot Collaboration in Remanufacturing.” Robotics and Computer-Integrated Manufacturing 62:101860. https://doi.org/10.1016/j.rcim.2019.101860.
  • Yang, Y. S., G. Yuan, J. X. Cai, and S. L. Wei. 2021. “Forecasting of Disassembly Waste Generation Under Uncertainties Using Digital Twinning-Based Hidden Markov Model.” Sustainability 13 (10): 5391. https://doi.org/10.3390/su13105391.
  • Yi, Y., Y. H. Yan, X. J. Liu, Z. Ni, J. Feng, and J. Liu. 2021. “Digital Twin-based Smart Assembly Process Design and Application Framework for Complex Products and Its Case Study.” Journal of Manufacturing Systems 58:94–107. https://doi.org/10.1016/j.jmsy.2020.04.013.
  • Yuan, G., X. J. Liu, C. Y. Zhang, D. T. Pham, and Z. Li. 2023. “A New Heuristic Algorithm Based on Multi-criteria Resilience Assessment of Human-robot Collaboration Disassembly for Supporting Spent Lithium-ion Battery Recycling.” Engineering Applications of Artificial Intelligence 128:106878. https://doi.org/10.1016/j.engappai.2023.106878.
  • Yuan, G., X. Liu, C. Zhu, C. Wang, M. Zhu, and Y. Sun. 2024. “Multi-objective Coupling Optimization of Electrical Cable Intelligent Production Line Driven by Digital Twin.” Robotics and Computer-Integrated Manufacturing 86:102682. https://doi.org/10.1016/j.rcim.2023.102682.
  • Yuan, G., Y. S. Yang, G. D. Tian, and Q. Zhuang. 2019. “Comprehensive Evaluation of Disassembly Performance Based on the Ultimate Cross-efficiency and Extension-gray Correlation Degree.” Journal of Cleaner Production 245: 1–13.
  • Zahedi, H., C. Mascle, and P. Baptiste. 2016. “A Quantitative Evaluation Model to Measure the Disassembly Difficulty, Application of the Semi-destructive Methods in Aviation End-of-Life.” International of Production Research 54 (12): 3736–3748. https://doi.org/10.1080/00207543.2016.1165877.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.