Working mode in aircraft manufacturing based on digital coordination model

Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems

Grieves, M., & Vickers, J. (2017) · Transdisciplinary Perspectives on Complex Systems · doi:10.1007/978-3-319-38756-7_4 · Cited by 3,727 · see citing works

Digital twin-driven product design, manufacturing and service with big data

Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., & Sui, F. (2018) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-017-0233-1 · Cited by 2,920 · see citing works

About The Importance of Autonomy and Digital Twins for the Future of Manufacturing

Rosen, R., von Wichert, G., Lo, G., & Bettenhausen, K. D. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.06.141 · Cited by 1,474 · cited 2× · see citing works

Reengineering aircraft structural life prediction using a digital twin

Tuegel, E. J., Ingraffea, A. R., Eason, T. G., & Spottswood, S. M. (2011) · International Journal of Aerospace Engineering · doi:10.1155/2011/154798 · Cited by 1,119 · see citing works

Will Model-based Definition replace engineering drawings throughout the product lifecycle? A global perspective from aerospace industry

Quintana, V., Rivest, L., Pellerin, R., Venne, F., & Kheddouci, F. (2010) · Computers in Industry · doi:10.1016/j.compind.2010.01.005 · Cited by 194 · see citing works

Assembly line balancing problems with multi-manned stations: a new mathematical formulation and Gantt based heuristic method

Kellegöz, T. (2016) · Annals of Operations Research · doi:10.1007/s10479-016-2156-x · Cited by 62 · see citing works

Quality- and cost-driven assembly technique selection and geometrical tolerance allocation for mechanical structure assembly

Andolfatto, L., Thiébaut, F., Lartigue, C., & Douilly, M. (2013) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2013.03.003 · Cited by 59 · see citing works

Product complexity and design of inspection strategies for assembly manufacturing processes

Genta, G., Galetto, M., & Franceschini, F. (2018) · International Journal of Production Research · doi:10.1080/00207543.2018.1430907 · Cited by 51 · see citing works

Effect of process parameters on microstructure and mechanical properties of friction stir-welded Ti–6Al–4V joints

Fall, A., Jahazi, M., Khdabandeh, A. R., & Fesharaki, M. H. (2016) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-016-9527-y · Cited by 47 · see citing works

Optimum fixture locating layout for sheet metal part by integrating kriging with cuckoo search algorithm

Yang, B., Wang, Z., Yang, Y., Kang, Y., & Li, X. (2016) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-016-9638-5 · Cited by 41 · see citing works

An assembly gap control method based on posture alignment of wing panels in aircraft assembly

Wang, Q., Dou, Y., Li, A., Ke, Y., Keogh, P., & Maropoulos, P. (2017) · Assembly Automation · doi:10.1108/aa-04-2016-031 · Cited by 40 · see citing works

Study on a tolerance grading allocation method under uncertainty and quality oriented for remanufactured parts

Liu, M., Liu, C., Xing, L., Mei, F., & Zhang, X. (2013) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-013-4826-z · Cited by 40 · see citing works

Advanced Mechatronics and MEMS Devices II

Dertien, E. C., Stramigioli, S., Zangh, D., & Wei, B. (2016) · Microsystems and nanosystems · doi:10.1007/978-3-319-32180-6 · Cited by 38 · see citing works

Enterprise systems’ life cycle in pursuit of resilient smart factory for emerging aircraft industry: a synthesis of Critical Success Factors’(CSFs), theory, knowledge gaps, and implications

Rashid, A., Masood, T., Erkoyuncu, J. A., Tjahjono, B., Khan, N., & Shami, M.-U.-D. (2017) · Enterprise Information Systems · doi:10.1080/17517575.2016.1258087 · Cited by 35 · see citing works

A CAD method for tolerance allocation considering manufacturing difficulty based on FMECA tool

Ghali, M., Tlija, M., Aifaoui, N., & Pairel, É. (2017) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-016-9961-x · Cited by 32 · see citing works

Identification of key design characteristics for complex product adaptive design

Han, X., Li, R., Wang, J., Qin, S., & Ding, G. (2017) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-017-1267-0 · Cited by 31 · see citing works

Optimal geometric tolerance design framework for rigid parts with assembly function requirements using evolutionary algorithms

Saravanan, A., Balamurugan, C., Sivakumar, K., & Ramabalan, S. (2014) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-014-5908-2 · Cited by 26 · see citing works

Rigid-compliant hybrid variation modeling of sheet metal assembly with 3D generic free surface

Cai, N., & Qiao, L. (2016) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2016.06.009 · Cited by 25 · see citing works

Automated/Mechanized Drilling and Countersinking of Airframes

Bullen, G. N. (2013) · SAE International eBooks · doi:10.4271/r-416 · Cited by 24 · see citing works

Compliant assembly variation analysis of sheet metal with shape errors based on primitive deformation patterns

Li, Y., Zhao, Y., Yu, H., & Lai, X. (2017) · Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science · doi:10.1177/0954406217720231 · Cited by 22 · see citing works

Positioning method and assembly precision for aircraft wing skin

Guo, F., Wang, Z., Kang, Y., Li, X., Chang, Z., & Wang, B. (2016) · Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture · doi:10.1177/0954405416640168 · Cited by 20 · see citing works

Positioning variation modeling for aircraft panels assembly based on elastic deformation theory

Wang, Q., Hou, R., Li, A., Ke, Y., Maropoulos, P., & Zhang, X. (2017) · Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture · doi:10.1177/0954405417697349 · Cited by 19 · see citing works

Variation Analysis of Automated Wing Box Assembly

Bakker, O. J., Popov, A. A., & Ratchev, S. M. (2017) · Procedia CIRP · doi:10.1016/j.procir.2017.02.034 · Cited by 19 · see citing works

Fault pattern identification in multi-stage assembly processes with non-ideal sheet-metal parts based on reinforcement learning architecture

Beruvides, G., Villalonga, A., Franciosa, P., Ceglarek, D. J., & Haber, R. E. (2018) · Procedia CIRP · doi:10.1016/j.procir.2017.12.268 · Cited by 19 · see citing works

A framework of measurement assisted assembly for wing-fuselage alignment based on key measurement characteristics

Chen, Z., Du, F., Tang, X., & Zhang, X. (2015) · International Journal of Manufacturing Research · doi:10.1504/ijmr.2015.069686 · Cited by 19 · see citing works

Virtual Reality und Augmented Reality (VR/AR)

Dörner, R., Broll, W., Grimm, P., & Jung, B. (2014) · Informatik-Spektrum · doi:10.1007/s00287-014-0838-9 · Cited by 17 · see citing works

Flexible tooling design technology for aircraft fuselage panel component pre-assembly

Li, X., Dang, X.-G., Xie, B.-Q., & Hu, Y. (2015) · Assembly Automation · doi:10.1108/aa-06-2014-055 · Cited by 16 · see citing works

Remaining useful life prediction of rotating equipment using covariate-based hazard models – Industry applications

Gorjian, N., Sun, Y. M., Ma, L., Yarlagadda, P. K. D. V., & Mittinty, M. (2015) · Australian Journal of Mechanical Engineering · doi:10.1080/14484846.2015.1093251 · Cited by 13 · see citing works

Model Checking of Embedded Assembly Program Based on Simulation

Yamane, S., Konoshita, R., & Kato, T. (2017) · IEICE Transactions on Information and Systems · doi:10.1587/transinf.2016edp7452 · Cited by 11 · see citing works

Robot control and decision making through real-time sensors monitoring and analysis for industry 4.0 implementation on aerospace component manufacturing

Wijaya, T., Caesarendra, W., Pappachan, B. K., Tjahjowidodo, T., Wee, A., & Roslan, M. I. (2017) · IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) · doi:10.1109/pacrim.2017.8121928 · Cited by 10 · see citing works

Implementing Determinate Assembly for the Leading Edge Sub-Assembly of Aircraft Wing Manufacture

Irving, L., Ratchev, S. M., Popov, A. A., & Rafla, M. (2014) · SAE International Journal of Aerospace · doi:10.4271/2014-01-2252 · Cited by 9 · see citing works

Implementation and evaluation of a model processing pipeline for assembly simulation

Iacob, R., Popescu, D., Noël, F., & Masclet, C. (2017) · Assembly Automation · doi:10.1108/aa-11-2015-104 · Cited by 8 · see citing works

Gaugeless Tooling

Williams, G., Chalupa, E., Billieu, R., Murphy, J., & Swager, D. (1998) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/982147 · Cited by 6 · see citing works

Chapter 1 Historical Perspective: Why Airframes Have Holes

Bullen, G. N. (2013) · Cited by 6 · see citing works

Appendix A Automated Machine Suppliers for D/C of Airframes

Bullen, G. N. (2013) · Cited by 6 · see citing works

Design and Implementation of a Prototype for Information Exchange in Digital Manufacturing Processes in Aerospace Industry

Padillo, A., Racero, J., Oliva, M., & Mas, F. (2017) · IFIP advances in information and communication technology · doi:10.1007/978-3-319-72905-3_52 · Cited by 5 · see citing works

Validation of a System Theory Model for Aircraft Engine Simulation

Dwinger, K., & Friedrichs, J. (2017) · AIAA Modeling and Simulation Technologies Conference · doi:10.2514/6.2017-3830 · Cited by 3 · see citing works

Part Accuracy Management by Topological Mapping of Deviations

Frumusanu, G. R., & Epureanu, A. (2016) · Applied Mechanics and Materials · doi:10.4028/www.scientific.net/amm.859.210 · Cited by 2 · see citing works

Mathematical and Software Support for 3D Mathematical Modelling of the Airflow Impact on the Optical-Mechanical Unit Mounted in the Aircraft Unpressurized Compartment

Ivanov, I. E., Kryukov, I. A., Ларина, Е. В., & Miroshkin, V. L. (2017) · Bulletin of the South Ural State University Series Mathematical Modelling Programming and Computer Software · doi:10.14529/mmp170411 · Cited by 1 · see citing works

Characterising the Digital Twin: A systematic literature review

Jones, D., Snider, C., Nassehi, A., Yon, J., & Hicks, B. (2020) · CIRP Journal of Manufacturing Science and Technology · doi:10.1016/j.cirpj.2020.02.002 · Cited by 2,422 · see citing works

Review of digital twin applications in manufacturing

Cimino, C., Negri, E., & Fumagalli, L. (2019) · Computers in Industry · doi:10.1016/j.compind.2019.103130 · Cited by 874 · see citing works

A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives

Lim, K. Y. H., Zheng, P., & Chen, C.-H. (2020) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-019-01512-w · Cited by 700 · see citing works

A survey on AI-driven digital twins in Industry 4.0: smart manufacturing and advanced robotics

Huang, Z., Shen, Y., Li, J., Fey, M., & Brecher, C. (2021) · Sensors · doi:10.3390/s21196340 · Cited by 418 · see citing works

Digital Twin in Aerospace Industry: A Gentle Introduction

Li, L., Aslam, S., Wileman, A., & Perinpanayagam, S. (2021) · IEEE Access · doi:10.1109/access.2021.3136458 · Cited by 316 · see citing works

Digital Twins in Pharmaceutical and Biopharmaceutical Manufacturing: A Literature Review

Chen, Y., Yang, O., Sampat, C., Bhalode, P., Ramachnadran, R., & Ierapetritou, M. (2020) · Processes · doi:10.3390/pr8091088 · Cited by 295 · see citing works

Towards Civil Engineering 4.0: Concept, workflow and application of Digital Twins for existing infrastructure

Pregnolato, M., Gunner, S., Voyagaki, E., De Risi, R., Carhart, N., Gavriel, G., Tully, P., Tryfonas, T., Macdonald, J., & Taylor, C. (2022) · Automation in Construction · doi:10.1016/j.autcon.2022.104421 · Cited by 253 · see citing works

A literature review and design methodology for digital twins in the era of zero defect manufacturing

Psarommatis, F., & May, G. (2022) · International Journal of Production Research · doi:10.1080/00207543.2022.2101960 · Cited by 143 · see citing works

Digital twins in manufacturing: systematic literature review for physical–digital layer categorization and future research directions

Atalay, M., Murat, U., Oksuz, B., Parlaktuna, A. M., Pisirir, E., & Testik, M. C. (2022) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2021.2022762 · Cited by 60 · see citing works

Digital Twin Technologies for Turbomachinery in a Life Cycle Perspective: A Review

Xie, R., Chen, M., Liu, W., Jian, H., & Shi, Y. (2021) · Sustainability · doi:10.3390/su13052495 · Cited by 59 · see citing works

State of the art and research development prospects of energy and resource-efficient environmentally safe chemical process systems engineering

Meshalkin, V. P., Dovì, V. G., Bobkov, V. I., Belyakov, A. V., Butusov, O. B., Garabadzhiu, A. V., Бурухина, Т. Ф., & Ходченко, С. М. (2021) · Mendeleev Communications · doi:10.1016/j.mencom.2021.09.003 · Cited by 49 · see citing works

Readiness levels of Industry 4.0 technologies applied to aircraft manufacturing—a review, challenges and trends

Zutin, G. C., Barbosa, G. F., de Barros, P. C., Tiburtino, E. B., Kawano, F. L. F., & Shiki, S. B. (2022) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-022-08769-1 · Cited by 45 · see citing works

A collaborative network of digital twins for anomaly detection applications of complex systems. Snitch Digital Twin concept

Calvo-Bascones, P., Voisin, A., Do, P., & Sanz-Bobi, M. A. (2022) · Computers in Industry · doi:10.1016/j.compind.2022.103767 · Cited by 45 · see citing works

Overview of Emerging Technologies for Improving the Performance of Heavy-Duty Construction Machines

Khan, A. U., Huang, L., Onstein, E., & Liu, Y. (2022) · IEEE Access · doi:10.1109/access.2022.3209818 · Cited by 38 · see citing works

Quality-integrated diagnostic platform for aerospace complex product assembly processes

Cao, P., Shen, X., Duan, G., Liu, J., & Guo, K. (2023) · Computers & Industrial Engineering · doi:10.1016/j.cie.2023.109796 · Cited by 33 · see citing works

Research on the State-of-art, Connotation and Key Implementation Technology of Assembly Process Planning with Digital Twin

Guo, F., Liu, J., Zou, F., Yunong, Z., Zhongqi, W., & Shaozhuo, L. (2019) · Journal of Mechanical Engineering · doi:10.3901/jme.2019.17.110 · Cited by 30 · see citing works

Pose measurement approach based on two-stage binocular vision for docking large components

Chen, Y., Zhou, F., Zhou, M., Zhang, W., & Li, X. (2020) · Measurement Science and Technology · doi:10.1088/1361-6501/aba5c7 · Cited by 30 · see citing works

Towards cognition-augmented human-centric assembly: A visual computation perspective

Pang, J., Zheng, P., Fan, J., & Liu, T. (2024) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2024.102852 · Cited by 29 · see citing works

Positioning error guarantee method with two-stage compensation strategy for aircraft flexible assembly tooling

Guo, F., Liu, J., Wang, Z., Zou, F., & Zhao, X. (2020) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.03.008 · Cited by 26 · see citing works

Digital Twins and Civil Engineering Phases: Reorienting Adoption Strategies

Adebiyi, T. A., Ajenifuja, N. A., & Zhang, R. (2024) · Journal of Computing and Information Science in Engineering · doi:10.1115/1.4066181 · Cited by 22 · see citing works

Concept of digital twins at life cycle stages of production systems

Shvedenko, V. N., & Евгеньевич, М. А. (2020) · Scientific and technical journal of information technologies mechanics and optics · doi:10.17586/2226-1494-2020-20-6-815-827 · Cited by 19 · see citing works

Image and model sequences matching for on-site assembly stage identification

Pang, J., Ong, S. K., & Nee, A. Y. C. (2021) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2021.102185 · Cited by 19 · see citing works

Assembly error propagation modeling and coordination error chain construction for aircraft

Guo, F., Zou, F., Liu, J. H., Xiao, Q., & Wang, Z. (2019) · Assembly Automation · doi:10.1108/aa-07-2018-100 · Cited by 18 · see citing works

Digital Twin Technologies for Vehicular Prototyping: A Survey

Kabir, M. R., Ravi, B. B. Y., & Ray, S. (2025) · IEEE Open Journal of Intelligent Transportation Systems · doi:10.1109/ojits.2025.3562504 · Cited by 16 · see citing works

Locating method and motion stroke design of flexible assembly tooling for multiple aircraft components

Guo, F., Wang, Z., Liu, J., Zou, F., & Zhao, X. (2020) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-020-04940-8 · Cited by 16 · see citing works

Aircraft Assembly Quality Control With Feedback Actions and Assembly Station Flowing Fluctuation Analysis

Guo, F., Liu, J., Zou, F., & Wang, Z. (2020) · IEEE Access · doi:10.1109/access.2020.3018942 · Cited by 16 · see citing works

Design and Modelling of Digital Twin Technology to Improve Freight Logistics

Sura, H. S., Avesh, M., & Mohapatra, S. (2023) · Energy, environment, and sustainability · doi:10.1007/978-981-99-2150-8_20 · Cited by 12 · see citing works

Development of Models and Algorithms for Intellectual Support of Life Cycle of Chemical Production Equipment

Мошев, Е. Р., Meshalkin, V. P., & Ромашкин, М. А. (2019) · Studies in systems, decision and control · doi:10.1007/978-3-030-32579-4_12 · Cited by 12 · see citing works

Current Theoretical and Applied Research on Energy- and Resource-Saving Highly Reliable Chemical Process Systems Engineering

Meshalkin, V. P. (2021) · Theoretical Foundations of Chemical Engineering · doi:10.1134/s004057952104031x · Cited by 11 · see citing works

Challenges of Utilizing Sensor Data Acquired by Smart Products in Product Development Activities

Lukačević, F., Škec, S., Martinec, T., & Štorga, M. (2022) · Acta Polytechnica Hungarica · doi:10.12700/aph.19.4.2022.4.9 · Cited by 9 · see citing works

A surrogate model-driven assembly coordination framework for aircraft components based on cooperative multi-agent deep reinforcement learning

Zhang, Y., Luo, W., Hu, Y., Wang, Q., Cheng, L., & Ke, Y. (2025) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2025.08.021 · Cited by 8 · see citing works

Impact of AI-Driven Digital Twins in Industry 4.0: an Exploratory Analysis

Upadhyay, D. P., Sharma, T., & Fatima, A. (2024) · International Research Journal on Advanced Engineering and Management (IRJAEM) · doi:10.47392/irjaem.2024.0210 · Cited by 8 · see citing works

Digital Twin with a Perspective from Manufacturing Industry

Wang, H., Chen, S., Sami, M. S. U. I., Rahman, F., & Tehranipoor, M. M. (2020) · Springer eBooks · doi:10.1007/978-3-030-64448-2_2 · Cited by 6 · see citing works

Workers’ compensation injuries in aviation manufacturing in the state of Kansas, 2014–2022

Manning, C., & Jorgensen, M. (2024) · Journal of Safety Research · doi:10.1016/j.jsr.2024.05.016 · Cited by 4 · see citing works

An Integrated Framework for Aircraft Digital Assembly Coordination Design and Simulation

Zhao, D., Wang, G., Guo, W., & Qi, Z. (2019) · Procedia CIRP · doi:10.1016/j.procir.2019.04.082 · Cited by 4 · see citing works

Functional Model for the Formation of Individual Metal Control Programs of Boiler Equipment

Belov, V. D., & Moshev, E. R. (2021) · Studies in systems, decision and control · doi:10.1007/978-3-030-66077-2_26 · Cited by 4 · see citing works

Digital twin-enhanced product family design and optimization service

Lim, K. Y. H., Zheng, P., & Liew, D. W. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-91300-3.00003-6 · Cited by 4 · see citing works

Potensi Penerapan Teknologi Digital Twin pada Industri Pertanian dan Pangan di Indonesia: Sebuah Tinjauan Literatur

Baladraf, T. T. (2024) · Jurnal Teknotan · doi:10.24198/jt.vol18n1.4 · Cited by 2 · see citing works

Graph-enabled digital twins for intelligent product lifecycle management: a multi-dimensional approach to design, manufacturing, and supply chain transformation

Lim, K. Y. H. (2023) · doi:10.32657/10356/176020 · Cited by 2 · see citing works

Digital twin-driven automatic docking monitoring for large-scale equipment final assembly

ZHAO, Y., Chen, L., Yu, H., & Zheng, Y. (2026) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-026-02878-4 · Cited by 1 · see citing works

Digital twin

Agarwal, S., Singh, V. P., Ganguly, P., Munnangi, P., Collins, C., Sarker, S., Shenoi, J., Heston, S., Pandita, S., Pandita, T. K., et al. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-824010-6.00051-4 · Cited by 1 · see citing works

Tacit Knowledge Service on Industrial Robot Selection for Efficient Aircraft Production Based on the Flexible MADM Approach

Miah, M. H., Zhang, J., & Malhi, G. S. (2023) · Russian Aeronautics · doi:10.3103/s1068799823020198 · Cited by 1 · see citing works

Development of software for the management of the maintenance of equipment of thermal power plants

Ромашкин, М. А., Vlasov, V., UralPromBezopasnost, & Moshev, E. (2023) · Applied Mathematics and Control Sciences · doi:10.15593/2499-9873/2023.3.07 · Cited by 1 · see citing works

Models and Algorithms for Selecting Safety Valves for Petroleum Industries

Nikolin, A. V., & Moshev, E. R. (2021) · Studies in systems, decision and control · doi:10.1007/978-3-030-66081-9_10

Models and Algorithms for Determining the Safety Valves Critical Flow at Petrochemical Facilities

Nikolin, A. V., & Moshev, E. R. (2022) · Studies in systems, decision and control · doi:10.1007/978-3-030-95120-7_24

Logical and Information Models of the Processes of Maintenance of Boiler Installations of Chemical and Technological Systems

Meshalkin, V. P., Moshev, E. R., Belov, V. D., Ромашкин, М. А., Vlasov, V. G., & Schnitzlein, M. G. (2022) · Theoretical Foundations of Chemical Engineering · doi:10.1134/s0040579522010109

Life Cycle Control of Electric Grid Equipment Based on Historical Economic Indicators

Protalinsky, O. M., Shvedov, A., & Khanova, A. (2022) · Studies in systems, decision and control · doi:10.1007/978-3-030-95112-2_15

Methodology for Prognostic Effectiveness Evaluating of Digital Twins Implementation as an Example of the Railway Traffic Management Task

Timofeev, A. V., Titov, A. B., Kolesnikov, A. M., & Antonova, A. K. (2023) · Lecture notes in networks and systems · doi:10.1007/978-3-031-32719-3_58

Anomaly Detection and Feature Inference in Assembly Quality Based on Auto Encoders

Wang, Y., Cai, Z., Ke, Y., Wang, H., Zhu, W., & Zhang, S. (2025) · Global Reliability and Prognostics and Health Management Conference (PHM) · doi:10.1109/phm-xian66756.2025.11427460

Digital Twins and Modern Prototyping Technologies for Vehicular Systems

Kabir, M. R., & Ray, S. (2026) · Synthesis lectures on engineering, science, and technology · doi:10.1007/978-3-032-18938-7_3

The coordination method in aircraft digital manufacturing environment

Meng, B. (2009) · Journal of Shenyang Institute of Aeronautcal Engineering

Controlling on the Consistency of Accumulated Assembly Errors Under Digital Manufacturing Environment for Aircraft

Guo, F., Zou, F., Liu, J., Wang, Z., & Xiao, Q. (2019) · Lecture notes in electrical engineering · doi:10.1007/978-981-13-3305-7_222

Digital coordination method for aircraft based on digital master tooling

Yu-qing, F. (2008)

Definition & application of digital master tooling in aircraft manufacturing

Yu-qing, F. (2007) · Cited by 1 · see citing works

An Integrated Framework for Aircraft Digital Assembly Coordination Design and Simulation

Zhao, D., Wang, G., Guo, W., & Qi, Z. (2019) · Procedia CIRP · doi:10.1016/j.procir.2019.04.082 · Cited by 4 · see citing works