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Research Article

(DT4Smart) a digital twin-based modularized design approach for smart warehouses

ORCID Icon, , , , &
Received 24 Aug 2022, Accepted 27 Sep 2023, Published online: 05 Nov 2023

References

  • Ashayeri, J., and L. F. Gelders 1985. “Warehouse Design Optimization.” European Journal of Operational Research 21 (3): 285–294. https://doi.org/10.1016/0377-2217(85)90149-3.
  • Baker, P., and M. Canessa. 2009. “Warehouse Design: A Structured Approach.” European Journal of Operational Research 193:425–436. https://doi.org/10.1016/j.ejor.2007.11.045.
  • Bijlsma, R., and D. Merkestejin. 2018. ““Optimizing Manufacturing & Supply Chains Using Digital Twin Systems.” In Proceedings of the 2018 Winter Simulation Conference 4249–49. https://doi.org/10.5555/3320516.3321106.
  • Braglia, M., R. Gabbrielli, M. Frosolini, L. Marrazzini, and L. Padellini. 2019. “Using RFID Technology and Discrete-Events, Agent-Based Simulation Tools to Build Digital-Twins of Large Warehouses.” In 2019 IEEE International Conference on RFID Technology and Applications (RFID-TA), Pisa, Italy, 464–469. IEEE. https://doi.org/10.1109/RFID-TA.2019.8892254.
  • Cakmak, E., N. S. Gunay, G. Aybakan, and M. Tanyas. 2012. “Determining the Size and Design of Flow Type and U-Type Warehouses.” Procedia - Social & Behavioral Sciences 58:1425–1433. https://doi.org/10.1016/j.sbspro.2012.09.1127.
  • Catarinucci, L., D. De Donno, L. Mainetti, L. Palano, L. Patrono, M. L. Stefanizzi, and L. Tarricone. 2015. “An IoT-Aware Architecture for Smart Healthcare Systems.” IEEE Internet of Things Journal 2:515–526. https://doi.org/10.1109/JIOT.2015.2417684.
  • Chen, S., W. Meng, W. Xu, Z. Liu, J. Liu, and F. Wu. 2020. “A Warehouse Management System with UAV Based on Digital Twin and 5G Technologies.” In 2020 7th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS) 864–869. https://doi.org/10.1109/ICCSS52145.2020.9336832.
  • Foumani, M., A. Moeini, M. Haythorpe, and K. Smith-Miles. 2018. “A Cross-Entropy Method for Optimising Robotic Automated Storage and Retrieval Systems.” International Journal of Production Research 56 (19): 6450–6472. https://doi.org/10.1080/00207543.2018.1456692.
  • Gartner. 2022, February 16. “Emerging Technologies: Revenue Opportunity Projection of Digital Twins.” https://www.gartner.com/en/documents/4011590.
  • Glaessgen, E., and D. Stargel. 2012. ““The Digital Twin Paradigm for Future NASA and US Air Force Vehicles.” In 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 20th AIAA/ASME/AHS Adaptive Structures Conference 14th AIAA 1818. https://doi.org/10.2514/6.2012-1818.
  • Greif, T., N. Stein, and C. M. Flath. 2020. “Peeking into the Void: Digital Twins for Construction Site Logistics.” Computers in Industry 121:103264. https://doi.org/10.1016/j.compind.2020.103264.
  • Gu, J., M. Goetschalckx, and L. F. McGinnis. 2010. “Research on Warehouse Design and Performance Evaluation: A Comprehensive Review.” European Journal of Operational Research 203:539–549. https://doi.org/10.1016/j.ejor.2009.07.031.
  • Guo, J., N. Zhao, L. Sun, and S. Zhang. 2019. “Modular Based Flexible Digital Twin for Factory Design.” Journal of Ambient Intelligence and Humanized Computing 10:1189–1200. https://doi.org/10.1007/s12652-018-0953-6.
  • Ivanov, D., A. Dolgui, and B. Sokolov. 2019. “The Impact of Digital Technology and Industry 4.0 on the Ripple Effect and Supply Chain Risk Analytics.” International Journal of Production Research 57:829–846. https://doi.org/10.1080/00207543.2018.1488086.
  • Jones, D., C. Snider, A. Nassehi, J. Yon, and B. Hicks. 2020. “Characterising the Digital Twin: A Systematic Literature Review.” CIRP Journal of Manufacturing Science and Technology 29:36–52. https://doi.org/10.1016/j.cirpj.2020.02.002.
  • Korth, B., C. Schwede, and M. Zajac 2018, December. ““Simulation-Ready Digital Twin for Realtime Management of Logistics Systems.” In 2018 IEEE International Conference on Big Data (Big Data): 4194–4201. https://doi.org/10.1109/BigData.2018.8622160.
  • Leng, J., D. Yan, Q. Liu, H. Zhang, G. Zhao, L. Wei, D. Zhang, A. Yu, and X. Chen. 2021. “Digital Twin-Driven Joint Optimisation of Packing and Storage Assignment in Large-Scale Automated High-Rise Warehouse Product-Service System.” International Journal of Computer Integrated Manufacturing 34:783–800. https://doi.org/10.1080/0951192X.2019.1667032.
  • Leung, E. K., C. K. H. Lee, and Z. Ouyang. 2022. “From Traditional Warehouses to Physical Internet Hubs: A Digital Twin-Based Inbound Synchronization Framework for PI-Order Management.” International Journal of Production Economics 244:108353. https://doi.org/10.1016/j.ijpe.2021.108353.
  • Li, M., Y. Fu, Q. Chen, and T. Qu. 2021. “Blockchain-Enabled Digital Twin Collaboration Platform for Heterogeneous Socialized Manufacturing Resource Management.” International Journal of Production Research 59:1–21. https://doi.org/10.1080/00207543.2021.1966118.
  • Liu, M., S. Fang, H. Dong, and C. Xu. 2021. “Review of Digital Twin About Concepts, Technologies, and Industrial Applications.” Journal of Manufacturing Systems 58:346–361. https://doi.org/10.1016/j.jmsy.2020.06.017.
  • Liu, Y., L. Zhang, Y. Yang, L. Zhou, L. Ren, F. Wang, R. Liu, Z. Pang, and M. J. Deen. 2019. “A Novel Cloud-Based Framework for the Elderly Healthcare Services Using Digital Twin.” Institute of Electrical and Electronics Engineers Access 7:49088–49101. https://doi.org/10.1109/ACCESS.2019.2909828.
  • 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.
  • Ma, J., H. Chen, Y. Zhang, H. Guo, Y. Ren, R. Mo, and L. Liu. 2020. “A Digital Twin-Driven Production Management System for Production Workshop.” International Journal of Advanced Manufacturing Technology 110:1385–1397. https://doi.org/10.1007/s00170-020-05977-5.
  • Ming, X. G., J. Q. Yan, W. F. Lu, and D. Z. Ma. 2005. “Technology Solutions for Collaborative Product Lifecycle Management – Status Review and Future Trend.” Concurrent Engineering 13:311–319. https://doi.org/10.1177/1063293x05060135.
  • Mital, P., M. Goetschalckx, and E. Huang. 2015. “Robust Material Handling System Design with Standard Deviation, Variance and Downside Risk as Risk Measures.” International Journal of Production Economics 170:815–824. https://doi.org/10.1016/j.ijpe.2015.02.003.
  • Mourtzis, D. 2020. “Simulation in the Design and Operation of Manufacturing Systems: State of the Art and New Trends.” International Journal of Production Research 58:1927–1949. https://doi.org/10.1080/00207543.2019.1636321.
  • Mourtzis, D., V. Samothrakis, V. Zogopoulos, and E. Vlachou. 2019. “Warehouse Design and Operation Using Augmented Reality Technology: A Papermaking Industry Case Study.” Procedia CIRP 79:574–579. https://doi.org/10.1016/j.procir.2019.02.097.
  • Ozaki, M., T. Hara, T. Higashi, and J. Ota. 2013. Design of Warehouse Including Temporary Storage Using Queuing Network Theory.” In 2013 IEEE International Conference on Systems, Man, and Cybernetics 1247–1252. https://doi.org/10.1109/SMC.2013.216.
  • Park, K. T., Y. H. Son, and S. D. Noh. 2020. “The Architectural Framework of a Cyber Physical Logistics System for Digital-Twin-Based Supply Chain Control.” International Journal of Production Research 58:1–22. https://doi.org/10.1080/00207543.2020.1788738.
  • Qi, Q., F. Tao, T. Hu, N. Anwer, A. Liu, Y. Wei, L. Wang, and A. Y. C. Nee. 2021. “Enabling Technologies and Tools for Digital Twin.” Journal of Manufacturing Systems 58:3–21. https://doi.org/10.1016/j.jmsy.2019.10.001.
  • Rupasighe, T., and S. Dissanayake. 2018. “An Integrated Warehouse Design and Optimization Modelling Approach to Enhance Supply Chain Performance.” In 2018 International Conference on Production and Operations Management Society (POMS) 1–8. https://doi.org/10.1109/POMS.2018.8629477.
  • Srai, J. S., E. Settanni, N. Tsolakis, and P. K. Aulakh. 2019. “Supply Chain Digital Twins: Opportunities and Challenges Beyond the Hype.” In Proceedings of the 23rd Cambridge International Manufacturing Symposium University of Cambridge, Cambridge, UK 26–27 September 2019. https://doi.org/10.17863/CAM.45897.
  • Tao, F., F. Sui, A. Liu, Q. Qi, M. Zhang, B. Song, Z. Guo, S. C-Y Lu, and A. Y. C. Nee. 2019. “Digital Twin-Driven Product Design Framework.” International Journal of Production Research 57:3935–3953. https://doi.org/10.1080/00207543.2018.1443229.
  • Tao, F., B. Xiao, Q. Qi, J. Cheng, and P. Ji. 2022. “Digital Twin Modelling.” Journal of Manufacturing Systems 64:372–389. https://doi.org/10.1016/j.jmsy.2022.06.015.
  • Venkitasubramony, R., and G. K. Adil. 2019. “Designing a Block Stacked Warehouse for Dynamic and Stochastic Product Flow: A Scenario-Based Robust Approach.” International Journal of Production Research 57:1345–1365. https://doi.org/10.1080/00207543.2018.1472402.
  • Wang, K.-J., Y.-H. Lee, and S. Angelica. 2021. “Digital Twin Design for Real-Time Monitoring–A Case Study of Die Cutting Machine.” International Journal of Production Research 59:6471–6485. https://doi.org/10.1080/00207543.2020.1817999.
  • Wang, Q., R. McIntosh, and M. Brain. 2010. “A New-Generation Automated Warehousing Capability.” International Journal of Computer Integrated Manufacturing 23:565–573. https://doi.org/10.1080/09511921003706215.
  • Wang, L., M. Törngren, and M. Onori. 2015. “Current Status and Advancement of Cyber-Physical Systems in Manufacturing.” Journal of Manufacturing Systems 37:517–527. https://doi.org/10.1016/j.jmsy.2015.04.008.
  • Wang, X. V., and L. Wang. 2019. “Digital Twin-Based WEEE Recycling, Recovery and Remanufacturing in the Background of Industry 4.0.” International Journal of Production Research 57:3892–3902. https://doi.org/10.1080/00207543.2018.1497819.
  • Zaerpour, N., R. Volbeda, and A. Gharehgozli. 2019. “Automated or Manual Storage Systems: Do Throughput and Storage Capacity Matter?” INFOR: Information Systems and Operational Research 57:99–120. https://doi.org/10.1080/03155986.2018.1532765.
  • Zhang, Z., X. Wang, X. Wang, F. Cui, and H. Cheng. 2019. “A Simulation-Based Approach for Plant Layout Design and Production Planning.” Journal of Ambient Intelligence and Humanized Computing 10:1217–1230. https://doi.org/10.1007/s12652-018-0687-5.
  • Zhang, X., and W. Zhu. 2019. “Application Framework of Digital Twin-Driven Product Smart Manufacturing System: A Case Study of Aeroengine Blade Manufacturing.” International Journal of Advanced Robotic Systems 16 (5): 1–16. https://doi.org/10.1177/1729881419880663.
  • Zhao, Z., L. Shen, C. Yang, W. Wu, M. Zhang, and G. Q. Huang. 2021. “IoT and Digital Twin Enabled Smart Tracking for Safety Management.” Computers & Operations Research 128:105183. https://doi.org/10.1016/j.cor.2020.105183.
  • Zheng, Y., S. Yang, and H. Cheng. 2019. “An Application Framework of Digital Twin and Its Case Study.” Journal of Ambient Intelligence and Humanized Computing 10:1141–1153. https://doi.org/10.1007/s12652-018-0911-3.
  • Zhou, C., H. Li, W. Liu, A. Stephen, L. H. Lee, and E. P. Chew. 2018. “Challenges and Opportunities in Integration of Simulation and Optimization in Maritime Logistics.” In Proceedings of the 2018 Winter Simulation Conference 2897–2908. https://doi.org/10.1109/WSC.2018.8632202.
  • Žunić, E., A. Beširević, S. Delalić, K. Hodžić, and H. Hasić. 2018. “A Generic Approach for Order Picking Optimization Process in Different Warehouse Layouts.” 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) 1000–1005. https://doi.org/10.23919/MIPRO.2018.8400183.

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