Cited by 1,158Digital Transformation in IndustryModeling and Simulation SystemsSystems Engineering Methodologies and Applications

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Digital Twin—The Simulation Aspect

Boschert, Stefan, Rosen, Roland·2016·Mechatronic Futures

DOI 10.1007/978-3-319-32156-1_5

Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1007/978-3-319-32156-1_5

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

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
Self-citation
Air Vehicle Integration and Technology Research (AVIATR). Task Order 0003: Condition-Based Maintenance Plus Structural Integrity (CBM+SI) Demonstration (April 2011 to August 2011)
Fitzwater, L. M., Torng, Y. T., & Halbert, K. (2011) · doi:10.21236/ada586666 · Cited by 1

Show all 2 references

Sorted by citations

Items 801–900 of 1,001

Real-Time AI-Driven Digital Twins for Smart City Infrastructure and Urban Resilience
Sundaram, N. K., Thakur, S. S., Kumar, Y. J. N., Mohamed, H., Kumar, V. P. A., Al-Dulaimi, H. W., & Saadi, M. A. M. A. (2025) · International Conference on Cyber Resilience (ICCR) · doi:10.1109/iccr67387.2025.11292405 · Cited by 2
Real-time Spatiotemporal Synchronization for Human-robot Collaborative Systems: An Integrated Digital Twin Framework with Adaptive Data Processing
Shi, Y., Lao, L., Zheng, X., & Chen, P. (2025) · Journal of Intelligent & Robotic Systems · doi:10.1007/s10846-025-02346-w · Cited by 2
A systematic review of reliability, availability, maintainability, and dependability (RAMD) modeling for maintenance optimization in production systems: Trends, gaps, and future directions
Muhaba, A. M. (2026) · Advances in Mechanical Engineering · doi:10.1177/16878132261438568 · Cited by 2
Ontology-Driven and Human-Centric Digital Twins in Hospitality: A Survey and Research Agenda
Manzano-Farray, D., Segura-Cedres, M., Aguiar-Castillo, L., Guerra-Yanez, V., & Pérez‐Jiménez, R. (2026) · Sensors · doi:10.3390/s26092764 · Cited by 2
Surrogate-assisted parametric calibration using design of experiment platform within digital twinning
Sapkota, M. S., Apeh, E., Hadfield, M., Haratian, R., Adey, R. A., & Baynham, J. (2022) · International Journal of Computational Methods and Experimental Measurements · doi:10.2495/cmem-v10-n2-158-171 · Cited by 2
Promoting Olive Groves’s Soil Quality by a Digital Twin’s Predictive Based Control: The Sensor’s Network
Silva, L., Giugge, R., Rodríguez‐Sedano, F. J., Baptista, P. C., & Coelho, J. P. (2022) · Lecture notes in electrical engineering · doi:10.1007/978-3-031-10047-5_21 · Cited by 2
A methodology to integrate process-induced subsurface characteristics into a digital twin-based framework for the evaluation of machining processes
Bergmann, J. A., Wöste, F., & Wiederkehr, P. (2022) · Procedia CIRP · doi:10.1016/j.procir.2022.04.021 · Cited by 2
Simulation as a Soft Digital Twin for Maintenance Reliability Operations
Li, X., Berg, T. A., Jones, G., Swanson, K., Lamberti, V. E., Okowita, S. L., Birt, L., & Atchayagopal, P. (2022) · Winter Simulation Conference · doi:10.1109/wsc57314.2022.10015517 · Cited by 2
Development of the digital twin for a multi-purpose processing plant training simulator
Zabarin, I., & Shilin, D. (2023) · International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE) · doi:10.1109/reepe57272.2023.10086858 · Cited by 2
Proof of Concept for a Roundtrip Engineering IS for the New Enterprise in the Industry 4.0 Era
Chiș, A., Ghiran, A.-M., & Buchmann, R. A. (2022) · International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) · doi:10.1109/synasc57785.2022.00040 · Cited by 2
A Generic Digital Twin Application Framework for Emerging Trends in Industrial Process Heaters
Chaudhari, S. S., Bhole, K. S., Rane, S. B., & Deshmukh, S. P. (2023) · Procedia CIRP · doi:10.1016/j.procir.2023.05.007 · Cited by 2
Industry 4.0-Based Digital Twin Approach for Construction Site Tracking Purposes
Kosse, S., Pawlowski, D., & König, M. (2023) · Lecture notes in civil engineering · doi:10.1007/978-3-031-35399-4_47 · Cited by 3
Quality Dimensions for Digital Twin Maturity in the Context of Dutch Public Spatial Planning
Smit, K., Peters, R. M., Gelder, C. D., & Versendaal, J. (2023) · Bled eConference · doi:10.18690/um.fov.6.2023.9 · Cited by 2
Integration of Digital Twins and Artificial Intelligence for Classifying Cardiac Ischemia
Ammar, M., & Al-Raweshidy, H. S. (2023) · Journal on artificial intelligence · doi:10.32604/jai.2023.045199 · Cited by 2
Digital Twin for Smart Farming
Poornima, G., & A., S. G. M. (2024) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9789815196177124010004 · Cited by 2
Advanced Data Analytics in Green Finance
Rahman, A., Khan, M., Attom, B. E., & Manoharan, M. (2024) · Advances in finance, accounting, and economics book series · doi:10.4018/979-8-3693-1878-2.ch010 · Cited by 3
Evolution of Digital Twin solutions in the manufacturing industry
Mingorance, R., Crespo-Pereira, D., Uribetxebarria, J., & Leturiondo, U. (2023) · IEEE Smart World Congress (SWC) · doi:10.1109/swc57546.2023.10449254 · Cited by 2
Applications of Digital Twins for the Construction Process
Jahagirdar, D. Y., & Leicht, R. M. (2024) · Computing in Civil Engineering · doi:10.1061/9780784485231.043 · Cited by 2
A taxonomy of built asset information coupling
Davari, S., & Poirier, É. (2024) · Frontiers of Engineering Management · doi:10.1007/s42524-024-0303-7 · Cited by 2
Digital Twin-Driven Dynamic Scheduling of Flexible Manufacturing System in the Context of Smart Factory Producing Brass Accessories
Chakroun, A., Hani, Y., Mhamedi, A. E., & Faouzi Masmoudi, A. (2024) · Journal of Industrial Integration and Management · doi:10.1142/s2424862224500155 · Cited by 3
License Plate Recognition System for Improved Logistics Delivery in a Supply Chain with Solution Validation through Digital Twin Modeling
Coching, J. K., Pe, A. J. L., Yeung, S. G. D., Ang, C. M. L., Concepcion, R., & Billones, R. K. C. (2023) · IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) · doi:10.1109/hnicem60674.2023.10589240 · Cited by 2
Prototype-aware Feature Selection for Multi-view Action Prediction in Human-Robot Collaboration
Peng, B., Chen, B., Wei, H., & Kadirkamanathan, V. (2024) · IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) · doi:10.1109/etfa61755.2024.10710750 · Cited by 2
Digital Evolution: From BIM to Digital Twin
Salzano, A., Zitiello, E. P., Nicolella, M., & Gragnaniello, C. (2024) · Lecture notes in civil engineering · doi:10.1007/978-3-031-71867-0_46 · Cited by 2
Digital twin model design for smart village
Ahmad, N., Fatima, I., Alam, M., Khan, I. R., & Mahmoud, A. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-28884-5.00006-3 · Cited by 5
Towards learning digital twin: case study on an anisotropic non-ideal rotor system
Zhou, Z., Walther, M. R., & Verl, A. W. (2024) · Procedia CIRP · doi:10.1016/j.procir.2024.10.149 · Cited by 2
Application of Digital Twins for Design and Operation of a Power Electronic Devices
Hinov, N. L., Stanchev, P. A., & Vacheva, G. I. (2024) · doi:10.1109/telecom63374.2024.10812225 · Cited by 2
The Role of the Metaverse in Education
Rohini, R. (2025) · IGI Global eBooks · doi:10.4018/979-8-3693-7793-2.ch017 · Cited by 2
Using Digital Twins and Gen AI to Optimize Plastics Densification in the Recycling of Polypropylene (PP) and Polyethylene (PE)
Vadisetty, R., & Polamarasetti, A. (2024) · International Conference on System Modeling & Advancement in Research Trends (SMART) · doi:10.1109/smart63812.2024.10882564 · Cited by 2
AI-Based Cognitive Twin Models for Software-Defined IoT Security and Analytics
Gupta, R. K., Dhasmana, G., Lalitha, T., Appalakonda, V., Thacker, C. B., & Deshpande, G. (2024) · International Conference on Mobile Networks and Wireless Communications (ICMNWC) · doi:10.1109/icmnwc63764.2024.10872194 · Cited by 2
Application Exploration of Digital Twin Technology in Second-Loop System of Nuclear Power Plants
Ma, Z., Chen, X., Gao, Z., Jin, Q., & Wei, H. (2024) · International Symposium on Computer Science and Intelligent Control · doi:10.1109/iscsic64297.2024.00075 · Cited by 2
Improving the Operational Efficiency of Healthcare Operations Using Digital Twins
Chauhan, D., & Bahad, P. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-0538-7.ch005 · Cited by 2
Digital Competencies Framework for Project Managers: Digital Twins as an Exemplar in the Smart Built Environment
Owais, O. A., Poshdar, M., GhaffarianHoseini, A., Ying, F., Jaafar, K., Sarhan, S., & Sheikhkhoshkar, M. (2025) · Lecture notes in civil engineering · doi:10.1007/978-981-96-4051-5_62 · Cited by 2
Ubi-Interact: A modular approach to connecting systems
Weber, S., Ludwig, M., & Klinker, G. (2021) · ICST Transactions on Mobile Communications and Applications · doi:10.4108/eai.14-7-2021.170291 · Cited by 2
The Digital Shipyard: Opportunities and Challenges
Spoehr, J., Jang, R., Manning, K., Rajagopalan, A., Moretti, C., Hordacre, A., Howard, S., Yaron, P. N., & Worrall, L. (2021) · Cited by 2
The Repercussions of the Digital Twin in the Automotive Industry on the New Marketing Logic
Blaschke, F., Biewendt, M., & Böhnert, A. (2021) · European Journal of Marketing and Economics · doi:10.26417/229eim64f · Cited by 2
Digital Twin of the Social System: Calculating the Environment’s Reaction to the Company’s Activeness
Владимирович, С. М. (2022) · Lecture notes in information systems and organisation · doi:10.1007/978-3-030-94617-3_6 · Cited by 2
DIGITAL TWIN: DECREASING THE COGNITIVE LOAD BY USING INDUSTRY 4.0 SIMULATION
Heschl, L., Dilger, T., & Ploder, R. B. A. C. (2020) · Cognition and Exploratory Learning in Digital Age · doi:10.33965/celda2020_202014c041 · Cited by 2
Development approach for value-creating service process twins based on service design methods
Schweiger, L., Benedech, R., & Meierhofer, J. (2022) · IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) · doi:10.1109/dasc/picom/cbdcom/cy55231.2022.9928003 · Cited by 2
The Characteristics of Digital Twin in Cyberspace: A Knowledge Perspective
Ling, W.-Q., & Guan, W. (2019) · International Conference Data Science and Business Analytics · doi:10.1109/icdsba48748.2019.00032 · Cited by 4
A Process Control Methodology Based on Digital Twins of Production System Objects
Shvedenko, V., Shvedenko, V. V., & Shchekochikhin, O. V. (2021) · Automatic Documentation and Mathematical Linguistics · doi:10.3103/s0005105521050046 · Cited by 3
Fotovoltaik Panel Emülatörü Tasarımında Dijital İkiz Kullanımı
Gürkan, S., & Aytav, E. (2022) · Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi · doi:10.21597/jist.1008632 · Cited by 2
Definitions and principles of digital twins
Fang, Z., Lu, Q., Xie, X., Parlikad, A. K., Schooling, J. M., & Pitt, M. (2022) · doi:10.1680/dtbe.65802.005 · Cited by 2
Practical Digital Twins Application to High Energy Systems: Thermal Protection for Multi-Detector
Wojtulewicz, A., Domański, P. D., Czarnynoga, M. M., Kutyła, M., Ławryńczuk, M., Nebeluk, R., Plamowski, S., Rosłon, K., & Zarzycki, K. (2022) · Electronics · doi:10.3390/electronics11142269 · Cited by 2
Methodologies to Determine Geometrical Similarity Patterns as Experimental Models for Shapes in Architectural Heritage
Moyano, J. J., Fernández-Alconchel, M., Nieto-Julián, J. E., & Carretero-Ayuso, M. J. (2022) · Symmetry · doi:10.3390/sym14091893 · Cited by 2
Control on industrial dye’s production (Flex’s) by using bio-adsorbents
Saini, M., Bisht, N., & Prakash, D. (2022) · Materials Today Proceedings · doi:10.1016/j.matpr.2022.12.076 · Cited by 2
Digital Twin-Konzeption in der Automobilindustrie: Einsatzpotenziale der Blockchain-Technologie
Morelli, F. (2018) · Anwendungen und Konzepte der Wirtschaftsinformatik · doi:10.26034/lu.akwi.2018.3220 · Cited by 2
Discrete Event Simulation Using Distributional Random Forests to Model Event Outcomes
Reed, S., & Löfstrand, M. (2022) · Winter Simulation Conference · doi:10.1109/wsc57314.2022.10015377 · Cited by 2
Introduction—The Digital Twin of Humans
Gräßler, I., Steffen, E., Maier, G. W., & Roesmann, D. (2023) · Springer eBooks · doi:10.1007/978-3-031-26104-6_1 · Cited by 2
Cybersecurity for Satellite Smart Critical Infrastructure
Akande, A. J., Foo, E., Hóu, Z., & Li, Q. (2023) · Smart sensors, measurement and instrumentation · doi:10.1007/978-3-031-29845-5_1 · Cited by 2
Product Data Management for Continuously Consistent CAD Data in Wiring Harness Development
Eder, K., Tas, O., Zielbauer, U., Neckenich, J., Winter, R., & Paetzold-Byhain, K. (2023) · Smart innovation, systems and technologies · doi:10.1007/978-981-99-0428-0_96 · Cited by 2
Digital Twin Output Functions and Statistical Performance Metrics for Engineering Dynamic Applications
Bonney, M. S., & Wagg, D. (2023) · Conference proceedings of the Society for Experimental Mechanics · doi:10.1007/978-3-031-37003-8_23 · Cited by 2
Study on Service Demand Model of Backbone Communication Network in New Power System
Wu, G.-Z., Li, B.-Z., Niu, J.-N., Gao, D., & Zhang, R. (2023) · 2023 International Conference on Smart Electrical Grid and Renewable Energy (SEGRE) · doi:10.1109/segre58867.2023.00031 · Cited by 2
A Multiphase Liquid-Gas Plant Modelling Using Fuzzy Cognitive Maps: An Application to an Actual Experimental Plant
Mazzuto, G., Carbonari, S., Bevilacqua, M., & Ciarapica, F. E. (2023) · doi:10.1109/ieem58616.2023.10406673 · Cited by 2
Hierarchical Simulation of Production Systems
Smirnov, D., Schenk, T., & Wehrstedt, J. (2018) · 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) · doi:10.1109/coase.2018.8560436 · Cited by 2
Conceptual design driven digital twin configuration
Wang, Y., Liu, L., & Liu, A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-818918-4.00003-8 · Cited by 3
A Mechatronics-twin Framework based on Stewart Platform for Effective Exploration of Operational Behaviors of Prosthetic Sockets with Amputees
Chen, D., Ottikkutti, S., & Tahmasebi, K. N. (2022) · International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC) · doi:10.5220/0010838600003123 · Cited by 2
Deep Learning-Based Visual Measurement Extraction within an Adaptive Digital Twin Framework from Limited Data Using Transfer LearningPreprint
Dizaji, M. S., Harris, D. K., Zhiyanpour, Z., & Yehia, A. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4804525 · Cited by 2
Digital Manufacturing for Advanced Manufacturing Technologies: A Review of Successful Implementation for Plasma Processing Digital Twin Framework DevelopmentPreprint
Mitchell, A., Wei, X., Sun, R., Yamamura, K., Ye, L., Corney, J., & Yu, N. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4846321 · Cited by 2
Life Cycle-Spanning Experimentable Digital Twins
Roßmann, J., & Schluse, M. (2022) · Springer eBooks · doi:10.1007/978-3-662-64448-5_37 · Cited by 1
Knowledge-Driven Digital Twin Manufacturing
Veeramakali, T., Shobanadevi, A., & Prabu, S. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-99205-3.00005-5 · Cited by 1
Digital Twins in Large-Scale Scienti c Infrastructure Projects
Kosyakov, D. V., & Marchenko, M. A. (2023) · Supercomputing Frontiers and Innovations · doi:10.14529/jsfi230308 · Cited by 2
Leveraging the benefits of digital twin in delivering personalized medicine using IOT
Raghavan, S., Arunachalam, O., Babu, A., & Govindaraju, S. (2024) · AIP conference proceedings · doi:10.1063/5.0194752 · Cited by 1
Digital Twins of Bridges: Characteristics of a Framework Leading to Practical Implementations
Korus, K., Salamak, M., & Winkler, J. (2024) · ASCE International Conference on Computing in Civil Engineering (i3CE) · doi:10.1061/9780784485231.072 · Cited by 1
A Digital Twin of a Ball Screw Drive Under Different Conditions: A Case Study About Temperature Drift
Zhou, Z., Walther, M. R., & Verl, A. W. (2024) · IEEE International Conference on Industrial Technology (ICIT) · doi:10.1109/icit58233.2024.10541020 · Cited by 1
Finite Budget Allocation Improvement in Ranking and Selection
Shi, X., Peng, Y., & Tuffin, B. (2024) · Winter Simulation Conference · doi:10.1109/wsc63780.2024.10838856 · Cited by 1
Layer-based information model for 5-axis milling processes using a GraphQL schema
Rudel, V., Wichter, D., Schiller, S., Vinogradov, G., Müller, A., Ganser, P., & Bergs, T. (2024) · Procedia CIRP · doi:10.1016/j.procir.2024.08.381 · Cited by 1
Framework and Taxonomy of Understanding Metaverse and a Case Study of AI-Driven and Digital Twin-Based Clothing Customization System
P.Ye., P. Y. R., & Su, M. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-76977-1_6 · Cited by 1
Research and Application of Rapid Construction Method of Distribution Network in Power System
Chen, Y., Chu, H., & Zhang, Z. (2024) · International Conference on the Frontiers of Electronic, Electrical and Information Engineering (ICFEEIE) · doi:10.1109/icfeeie64494.2024.00027 · Cited by 1
Synergizing Digital Twin Computing with Urban Entrepreneurship and Tactical Urbanism: A Paradigm for Smart City Evolution
Ghorashi, S. S., & Yousefi, B. H. (2024) · Urban sustainability · doi:10.1007/978-981-97-8483-7_11 · Cited by 1
Development of Shape-Mimetics Wireless Monitoring System by 3D Printer and its Application to Grasp-Less Handling Based on Ball Rolling Motion with a Dual-Arm Robot and Egg Washing Inspection Process
Hanai, H., Mita, Y., Wada, Y., Nakagawa, M., HIROGAKI, T., & AOYAMA, E. (2025) · International Journal of Automation Technology · doi:10.20965/ijat.2025.p0071 · Cited by 1
Optimizing Human-Centric Warehouse Operations: A Digital Twin Approach Using Dynamic Algorithms and AI/ML
Arslan, E. (2025) · Verimlilik dergisi · doi:10.51551/verimlilik.1524701 · Cited by 2
Probabilistic Health Monitoring and Maintenance Scheduling for Nuclear Power Systems
Amer, A. W., Tsilifis, P., Saxena, A., Baglietto, E., & Khan, G. (2025) · AIAA SciTech Forum · doi:10.2514/6.2025-0711 · Cited by 1
A Review of Industrial Digital Twin Technology Research: Progress, Challenges and Future Directions
Liu, S. (2025) · International Journal of Computer Science and Information Technology · doi:10.62051/ijcsit.v5n2.03 · Cited by 1
Construction Safety and Efficiency: Digital Twin Integration for Risk Management from Design to Execution
Salzano, A., Miano, A., Zitiello, E. P., Prota, A., & Nicolella, M. (2025) · Lecture notes in civil engineering · doi:10.1007/978-3-031-87312-6_63 · Cited by 1
Application of digital twins for construction site management
Zhang, J., Wong, P. K.-Y., & Cheng, J. C. P. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-30076-9.00017-0 · Cited by 1
Digital twins and smart sensors for building performance and maintenance optimization
Lucchi, E. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-29861-5.00020-2 · Cited by 2
Toward a Comprehensive Definition of Urban Digital Twins: Bridging Gaps for Smart City Development
Qanazi, S., Leclerc, É., & Bosredon, P. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-031-88653-9_64 · Cited by 1
The Rise of Digital Twins in the Age of Industry 4.0 and IoT
Katti, A., Vashisht, P., & Mamodiya, U. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-2028-1.ch001 · Cited by 1
Digital twins and logistical labour: Models, plans and the inversion of the ‘real’
Horn, Z. E., & Richardson, M. D. (2025) · Work Organisation Labour & Globalisation · doi:10.13169/workorgalaboglob.19.2.0004 · Cited by 1
Analyzing potential collaboration methods for digital twin teams developed on heterogeneous blockchains without a central authority
Far, S. B., & Bamakan, S. M. H. (2025) · Advanced Engineering Informatics · doi:10.1016/j.aei.2025.103616 · Cited by 1
Mitigating medium break loss of coolant accidents: Optimizing control system setpoints using genetic algorithms
Hsu, W.-S., Chen, Y., Chen, L.-Y., Kao, W.-C., Wang, T.-C., & Wu, S. (2025) · Progress in Nuclear Energy · doi:10.1016/j.pnucene.2025.105924 · Cited by 1
Harnessing digital twin, AI, and nanotechnology for advancing oral cancer care: A paradigm shift toward personalized precision medicine
Singhal, I., Kaur, G., Handa, T., Chakraborty, P., Maldonado‐Mendoza, J., & Boojar, F. M. A. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-33984-4.00027-4 · Cited by 1
Advancing Urban Intelligence Through Digital Twins in Smart Cities
Alharthi, S., Karime, A., & Saddik, A. E. (2025) · International Conference on Smart Applications, Communications and Networking (SmartNets) · doi:10.1109/smartnets65254.2025.11106802 · Cited by 1
SAVE: Securing Avatars in Virtual Healthcare Through Environmental Fingerprinting for Elder Safety Monitoring
Qu, Q., Chen, Y., & Blasch, E. (2025) · Future Internet · doi:10.3390/fi17090419 · Cited by 3
Metaverse Service Provisioning Empowered by Monitoring and Analytical Digital Twins in MEC
Xu, G., Xu, Z., Xia, Q., Yan, B., Zhen, F., & Xu, P. (2025) · IEEE International Conference on High Performance Computing and Communications; IEEE International Conference on Smart City; IEEE International Conference on Data Science and Systems (HPCC/SmartCity/DSS) · doi:10.1109/hpcc67675.2025.00083 · Cited by 1
Human-Centered Digital Twins
Kider, J. T. (2025) · Springer eBooks · doi:10.1007/978-981-95-3658-0_88 · Cited by 3
Developing a Digital Twin for Lathe Machine Real-time Monitoring
Mazen, A., Barber, A., DeVries, J., Linenberg, N., VanAlstine, A., & Yazdipaz, K. (2025) · International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings) · doi:10.1109/aibthings66987.2025.11296185 · Cited by 1
Introduction to Digitalization and Local Energy Systems
Hua, W., Azizi, E., Zhang, X.-P., & Wallom, D. C. H. (2025) · Green energy and technology · doi:10.1007/978-3-031-77833-9_1 · Cited by 1
Digital Twins in Sustainability Initiatives: A Review From Life Cycle Assessment Perspective
dos Santos, C. H., Wooley, A., & Romano, A. L. (2026) · IEEE Access · doi:10.1109/access.2026.3652173 · Cited by 5
Enhancing Digital Continuity and Interoperability in Building Energy Management: A Digital Twin Approach with Large Language Models *
Ababsa, F., Zheng, Z., Yahya, E., Farazdaghi, E., Meouche, R. E., & Marié, S. (2025) · International Conference on Control, Decision and Information Technologies (CoDIT) · doi:10.1109/codit66093.2025.11321508 · Cited by 1
Digital twin based full lifecycle warehousing system for aviation MRO materials
Wang, X., Zhang, X., Xu, G., & Chen, X. (2026) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-026-17403-3 · Cited by 1
Modular Digital Twins: The Foundation for the Factory of the Future
van der Valk, H., Jurgeleit, L., & Hunker, J. (2025) · Winter Simulation Conference · doi:10.1109/wsc68292.2025.11339070 · Cited by 1
Digital Twin Integration for Enhancing Robotic Fastening Systems in Industrial Automation
Levi, E., Kordova, S. K., & Tahan, M. (2026) · Systems · doi:10.3390/systems14040372 · Cited by 1
Towards intelligent production: The contribution of digital twins to production process optimization
Sibousse, M., & Ouatmane, M. (2025) · IEEE International Conference on Advanced Technologies in Supply Chain Management (ATSCM) · doi:10.1109/atscm67505.2025.11473487 · Cited by 1
Ethical AI in Aerospace: Decision-Making in High-Risk, High-Reward Environments
Szurgot, R. (2026) · Springer eBooks · doi:10.1007/978-3-032-18230-2_13 · Cited by 1
From Simulation to Transformation: The Role of Digital Twins in Driving the Energy Transition
Mamrot, S., Krzywy, J., & Nowak, F. (2026) · Palgrave Studies in Energy Transitions · doi:10.1007/978-3-031-04196-9_55-1 · Cited by 1
Evaluating digital twin adoption for sustainable supply chains in pharma: a fuzzy MEREC–TOPSIS approach
Rahbar, E., Chenarlogh, A. G., MohammadSalehi, R., & Zanjirchi, S. M. (2026) · Environment Systems & Decisions · doi:10.1007/s10669-026-10097-8 · Cited by 1
Optimizing urban agriculture with digital twins: a pathway to enhanced food security and sustainability
El-Hajj, M. I. (2026) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2026.1871684 · Cited by 2
A consensus framework for digital twin development in lyophilization
Kazarin, P., Metsi‐Guckel, E., Alexeenko, A. A., Tchessalov, S., Aglave, R., Bakri, W. A., Authelin, J., Dowling, D. P., Ganguly, A., Gong, E., et al. (2026) · AAPS Open · doi:10.1186/s41120-026-00150-w · Cited by 1
Software Engineering for AI-Driven Building Operation
Zech, P., Hammes, S., Weninger, J., Pannosch, J., & Steindl, G. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-36590-3_7 · Cited by 1

Authors: Boschert, S., & Rosen, R.
Affiliations: Siemens (Germany) (DE)
Corresponding author: Boschert, Stefan
ORCID: Boschert, Stefan
Venue: Mechatronic Futures
Publisher: Springer International Publishing
Published: 2016
Pages: 59-74
DOI: 10.1007/978-3-319-32156-1_5
OpenAlex: W2482127302
Cited by: 1,158
References: 2
Citations by year: 2026: 78 · 2025: 165 · 2024: 165 · 2023: 175 · 2022: 162 · 2021: 143 · 2020: 128 · 2019: 77 · 2018: 48 · 2017: 13 · 2016: 4
FWCI: 107.09
Type: book chapter
Language: en
Open access: closed
Licence: www.springer.com/tdm (unspecified)
Locations: Springer eBooks (publishedVersion)
Topics: Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
Physical Sciences › Mathematics › Modeling and Simulation › Modeling and Simulation Systems
Physical Sciences › Engineering › Control and Systems Engineering › Systems Engineering Methodologies and Applications
Keywords: digital twin, simulation, modeling and simulation, mechatronic systems, system development, design validation, failure prediction, virtual-physical integration, product life cycle

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Digital Twin—The Simulation Aspect

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks