Reference architectures for smart manufacturing: A critical review
Open accessIntegrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
IBM Industry 4.0 evolved to divide ICS into Edge, Plant, and Enterprise layers.
“It has evolved from its initial two-layer form [88] to its current version by dividing ICS into the Edge, Plant and Enterprise layer, providing an informal detailed overview with an emphasis on communication channels between individual elements as well as between layers.”
From SCADA Systems With Focus on Continuous Manufacturing and Steel Industry: A Survey on Architectures, Standards, Challenges and Industry 5.0 (2022) · cites this paper as [88]
This approach aligns SCADA with a service-oriented smart manufacturing architecture and reference architectures such as RAMI4.0, IIRA, IBM Industry 4.0, and NIST Smart Manufacturing.
“This approach puts the presented SCADA system in the perspective of a service-oriented smart manufacturing architecture that introduces new computational patterns with on-demand services as the main enabler of value network integration and collaboration, that is conceptually aligned with emerging reference architectures such as RAMI4.0,IIRA, IBM Industry 4.0, and NIST Smart Manufacturing.”
From SCADA Systems With Focus on Continuous Manufacturing and Steel Industry: A Survey on Architectures, Standards, Challenges and Industry 5.0 (2022) · cites this paper as [88]
Cites
Cyber Physical Systems: Design Challenges
Lee, E. A. (2008) · IEEE International Symposium on Real-Time Distributed Computing (ISORC) · doi:10.1109/isorc.2008.25 · Cited by 3,638 · see citing works
Industry 4.0 and the current status as well as future prospects on logistics
Hofmann, E., & Rüsch, M. (2017) · Computers in Industry · doi:10.1016/j.compind.2017.04.002 · Cited by 1,855 · see citing works
From cloud computing to cloud manufacturing
Xu, X. W. (2011) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2011.07.002 · Cited by 1,806 · see citing works
Cyber-physical systems in manufacturing
Monostori, L., Kádár, B., Bauernhansl, T., Kondoh, S., Kumara, S. R. T., Reinhart, G., Sauer, O., Schuh, G., Sihn, W., & Ueda, K. (2016) · CIRP Annals · doi:10.1016/j.cirp.2016.06.005 · Cited by 1,708 · see citing works
Brettel, M., Friederichsen, N., Keller, M., & Rosenberg, M. (2014) · RWTH Publications (RWTH Aachen) · doi:10.5281/zenodo.1336426 · Cited by 1,362 · see citing works
Cyber-physical Production Systems: Roots, Expectations and R&D Challenges
Monostori, L. (2014) · Procedia CIRP · doi:10.1016/j.procir.2014.03.115 · Cited by 1,281 · see citing works
Current status and advancement of cyber-physical systems in manufacturing
Wang, L., Törngren, M., & Onori, M. (2015) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2015.04.008 · Cited by 948 · see citing works
Theory Building through Conceptual Methods
Meredith, J. (1993) · International Journal of Operations & Production Management · doi:10.1108/01443579310028120 · Cited by 783 · see citing works
Reference Model for Service Oriented Architecture 1.0
MacKenzie, C. M., Laskey, K., McCabe, F. G., Brown, P. F., & Metz, R. (2006) · Cited by 761 · see citing works
Joint Cognitive Systems: Foundations of Cognitive Systems Engineering
Hollnagel, E., & Woods, D. D. (2005) · Thammasat University Digital Collections · Cited by 732 · see citing works
Smart manufacturing must embrace big data
Kusiak, A. (2017) · Nature · doi:10.1038/544023a · Cited by 636 · see citing works
Cloud-based design and manufacturing: A new paradigm in digital manufacturing and design innovation
Wu, D., Rosen, D. W., Wang, L., & Schaefer, D. (2014) · Computer-Aided Design · doi:10.1016/j.cad.2014.07.006 · Cited by 614 · see citing works
Handbook of systems engineering and management
(1999) · Journal of Manufacturing Systems · doi:10.1016/s0278-6125(99)90102-4 · Cited by 557 · see citing works
Closed-loop PLM for intelligent products in the era of the Internet of things
Kiritsis, D. (2010) · Computer-Aided Design · doi:10.1016/j.cad.2010.03.002 · Cited by 486 · see citing works
The Smart Factory: Exploring Adaptive and Flexible Manufacturing Solutions
Radziwon, A., Bilberg, A., Bogers, M. L. A. M., & Madsen, E. S. (2014) · Procedia Engineering · doi:10.1016/j.proeng.2014.03.108 · Cited by 483 · see citing works
The Engineering Design of Systems : Models and Methods
Buede, D. M. (1999) · Medical Entomology and Zoology · Cited by 416 · see citing works
The Engineering Design of Systems – Models and Methods
Pohlmann, L. D. (2000) · Insight · doi:10.1002/inst.20003158a · Cited by 414 · see citing works
Current Standards Landscape for Smart Manufacturing Systems
Lu, Y., Morris, K., & Frechette, S. (2016) · doi:10.6028/nist.ir.8107 · Cited by 360 · see citing works
Service-oriented modeling and architecture
Arsanjani, A. (2004) · Medical Entomology and Zoology · Cited by 314 · see citing works
Cloud manufacturing: from concept to practice
Ren, L., Li, Z., Tao, F., Zhao, C., Chai, X., & Zhao, X. (2013) · Enterprise Information Systems · doi:10.1080/17517575.2013.839055 · Cited by 262 · see citing works
(2015) · doi:10.3403/30283041 · Cited by 242 · see citing works
Multi-agent Mediator architecture for distributed manufacturing
Maturana, F., & Norrie, D. H. (1996) · Journal of Intelligent Manufacturing · doi:10.1007/bf00124828 · Cited by 224 · see citing works
Service-oriented manufacturing: a new product pattern and manufacturing paradigm
Gao, J., Yinliang, Y., Zhu, V., Sun, L., & Lin, L. (2009) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-009-0301-y · Cited by 214 · see citing works
Jiang, P., Ding, K., & Leng, J. (2016) · Manufacturing Letters · doi:10.1016/j.mfglet.2015.12.002 · Cited by 213 · see citing works
The Impact of Cyber-physical Systems on Industrial Services in Manufacturing
Herterich, M. M., Uebernickel, F., & Brenner, W. (2015) · Procedia CIRP · doi:10.1016/j.procir.2015.02.110 · Cited by 200 · see citing works
Introduction to cyber manufacturing
Lee, J., Bagheri, B., & Jin, C. (2016) · Manufacturing Letters · doi:10.1016/j.mfglet.2016.05.002 · Cited by 191 · see citing works
Shortening the Product Development Cycle
Smith, P. G., & Reinertsen, D. G. (1992) · Research-Technology Management · doi:10.1080/08956308.1992.11670822 · Cited by 168 · see citing works
Koren, Y., Hu, S. J., Gu, P., & Shpitalni, M. (2013) · CIRP Annals · doi:10.1016/j.cirp.2013.06.001 · Cited by 165 · see citing works
An agent-based intelligent control platform for industrial holonic manufacturing systems
Colombo, A. W., Schoop, R., & Neubert, R. (2006) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2005.862210 · Cited by 159 · see citing works
Collaborative control theory for e-Work, e-Production, and e-Service
Nof, S. Y. (2007) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2007.08.002 · Cited by 130 · see citing works
Service innovations enabled by the “internet of things”
Andersson, P. M., & Mattsson, L. (2015) · IMP Journal · doi:10.1108/imp-01-2015-0002 · Cited by 121 · see citing works
IoT Automation : Arrowhead Framework
Delsing, J. (2017) · CERN Document Server (European Organization for Nuclear Research) · Cited by 108 · see citing works
Three-view-concept for modeling process or manufacturing plants with AutomationML
Schleipen, M., & Drath, R. (2009) · IEEE Conference on Emerging Technologies & Factory Automation (ETFA) · doi:10.1109/etfa.2009.5347260 · Cited by 105 · see citing works
Mourtzis, D., & Doukas, M. (2014) · Procedia CIRP · doi:10.1016/j.procir.2014.05.004 · Cited by 104 · see citing works
Improving Machine Tool Interoperability Using Standardized Interface Protocols: MT Connect
Vijayaraghavan, A., Sobel, W., Fox, A., Dornfeld, D. A., & Warndorf, P. (2008) · eScholarship (California Digital Library) · Cited by 104 · see citing works
Collaborative service-component integration in cloud manufacturing
Moghaddam, M., & Nof, S. Y. (2017) · International Journal of Production Research · doi:10.1080/00207543.2017.1374574 · Cited by 95 · see citing works
Self-citationThe Internet of Things and convenience
Nolin, J. M., & Olson, N. (2016) · Internet Research · doi:10.1108/intr-03-2014-0082 · Cited by 81 · see citing works
Cyber-physical systems alter automation architectures
Riedl, M., Zipper, H., Meier, M., & Diedrich, C. (2014) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2014.03.012 · Cited by 75 · see citing works
Handbook of Service Description
Barros, A., & Oberle, D. (2012) · Springer eBooks · doi:10.1007/978-1-4614-1864-1 · Cited by 67 · see citing works
The Paradigm Shift in Smart Manufacturing System Architecture
Lu, Y., Riddick, F., & Ivezic, N. (2016) · IFIP advances in information and communication technology · doi:10.1007/978-3-319-51133-7_90 · Cited by 45 · see citing works
Human-centred Assembly: A Case Study for an Anthropocentric Cyber-physical System
Zamfirescu, C.-B., Pîrvu, B.-C., Gorecky, D., & Chakravarthy, H. S. R. (2014) · Procedia Technology · doi:10.1016/j.protcy.2014.09.038 · Cited by 33 · see citing works
Burd, S. (2005) · Cited by 27 · see citing works
Migration from traditional towards cyber-physical production systems
Calà, A., Lüder, A., Cachada, A., Pires, F., Barbosa, J., Leitão, P., & Gepp, M. M. (2017) · IEEE International Conference on Industrial Informatics (INDIN) · doi:10.1109/indin.2017.8104935 · Cited by 22 · see citing works
Moghaddam, M., Kenley, C. R., Colby, J. M., Berns, M. N. C., Rausch, R., Markham, J., Skeffington, W., Garrity, J., Chaturvedi, A., & Deshmukh, A. V. (2017) · IEEE International Conference on Industrial Informatics (INDIN) · doi:10.1109/indin.2017.8104742 · Cited by 14 · see citing works
Self-citationInteraction Mechanism of Humans in a Cyber-Physical Environment
Franke, M., Pîrvu, B.-C., Lappe, D., Bălă-Constantin, Z., Veigt, M., Klein, K. M., Hribernik, K., Thoben, K., & Loskyll, M. (2015) · Lecture notes in logistics · doi:10.1007/978-3-319-23512-7_35 · Cited by 10 · see citing works
(2011) · doi:10.3403/30187473 · Cited by 8 · see citing works
Flagged first, then by citations
2 of the 48 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Smart Manufacturing and Intelligent Manufacturing: A Comparative Review
Wang, B., Tao, F., Fang, X., Liu, C., Liu, Y., & Freiheit, T. I. (2020) · Engineering · doi:10.1016/j.eng.2020.07.017 · Cited by 571 · see citing works
Pivoto, D. G. S., de Almeida, L. F. R., Righi, R. D. R., Rodrigues, J., Lugli, A. B., & Alberti, A. (2021) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.11.017 · Cited by 399 · see citing works
Xia, K., Sacco, C., Kirkpatrick, M. B., Saidy, C., Nguyen, L., Kircaliali, A., & Harik, R. (2020) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.06.012 · Cited by 426 · see citing works
Industry 4.0 smart reconfigurable manufacturing machines
Morgan, J., Halton, M., Qiao, Y., & Breslin, J. G. (2021) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2021.03.001 · Cited by 336 · see citing works
Liu, Q., Leng, J., Yan, D., Zhang, D., Wei, L., Yu, A., Zhao, R., Zhang, H., & Chen, X. (2020) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.04.012 · Cited by 315 · see citing works
Perno, M., Hvam, L., & Haug, A. (2021) · Computers in Industry · doi:10.1016/j.compind.2021.103558 · Cited by 328 · see citing works
Smart manufacturing powered by recent technological advancements: A review
Sahoo, S., & Lo, C. (2022) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2022.06.008 · Cited by 298 · see citing works
Blockchain-Secured Smart Manufacturing in Industry 4.0: A Survey
Leng, J., Ye, S., Zhou, M., Zhao, J. L., Liu, Q., Guo, W., Cao, W., & Fu, L. (2021) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2020.3040789 · Cited by 291 · see citing works
A human-in-the-loop manufacturing control architecture for the next generation of production systems
Cimini, C., Pirola, F., Pinto, R., & Cavalieri, S. (2020) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.01.002 · Cited by 257 · see citing works
A review of edge computing reference architectures and a new global edge proposal
Sittón-Candanedo, I., Alonso, R. S., Corchado, J. M., Rodrı́guez, S., & Vara, R. C. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2019.04.016 · Cited by 225 · see citing works
Andronie, M., Lăzăroiu, G., Iatagan, M., Uţă, C., Ștefănescu, R., & Cocoșatu, M. (2021) · Electronics · doi:10.3390/electronics10202497 · Cited by 223 · see citing works
Digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems
Leng, J., Zhou, M., Xiao, Y., Zhang, H., Liu, Q., Shen, W., Su, Q., & Li, L. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.127278 · Cited by 227 · see citing works
Implementing Industry 4.0 principles
Cañas, H., Mula, J., Díaz-Madroñero, M., & Campuzano-Bolarín, F. (2021) · Computers & industrial engineering · doi:10.1016/j.cie.2021.107379 · Cited by 173 · see citing works
Rad, F. F., Oghazi, P., Palmié, M., Chirumalla, K., Pashkevich, N., Patel, P. C., & Sattari, S. (2022) · Industrial Marketing Management · doi:10.1016/j.indmarman.2022.06.009 · Cited by 231 · see citing works
Advancements in Industrial Cyber-Physical Systems: An Overview and Perspectives
Zhang, K., Shi, Y., Karnouskos, S., Sauter, T., Fang, H., & Colombo, A. W. (2022) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2022.3199481 · Cited by 197 · see citing works
A review on the characteristics of cyber-physical systems for the future smart factories
Napoleone, A., Macchi, M., & Pozzetti, A. (2020) · Journal of manufacturing systems · doi:10.1016/j.jmsy.2020.01.007 · Cited by 167 · see citing works
Interoperability in Smart Manufacturing: Research Challenges
Zeid, A., Sundaram, S., Moghaddam, M., Kamarthi, S. V., & Marion, T. J. (2019) · Machines · doi:10.3390/machines7020021 · Cited by 187 · see citing works
Self-citationDesign and management of digital manufacturing and assembly systems in the Industry 4.0 era
Cohen, Y., Faccio, M., Pilati, F., & Yao, X. (2019) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-019-04595-0 · Cited by 177 · see citing works
A Digital Twin approach based on nonparametric Bayesian network for complex system health monitoring
Yu, J., Song, Y., Tang, D., & Dai, J. (2020) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.07.005 · Cited by 170 · see citing works
Sony, M., Antony, J., McDermott, O., & Garza‐Reyes, J. A. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101754 · Cited by 179 · see citing works
Zengin, Y., Naktiyok, S., Kaygın, E., KAVAK, O., & Topçuoğlu, E. (2021) · Sustainability · doi:10.3390/su13052682 · Cited by 148 · see citing works
Data science skills and domain knowledge requirements in the manufacturing industry: A gap analysis
Li, G., Yuan, C., Kamarthi, S. V., Moghaddam, M., & Jin, X. (2021) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2021.07.007 · Cited by 115 · see citing works
Self-citationTrends in intelligent manufacturing research: a keyword co-occurrence network based review
Yuan, C., Li, G., Kamarthi, S. V., Jin, X., & Moghaddam, M. (2022) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-021-01885-x · Cited by 109 · see citing works
Self-citationGöppert, A., Grahn, L., Rachner, J., Grunert, D., Hort, S., & Schmitt, R. (2021) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-021-01860-6 · Cited by 78 · see citing works
Skalli, D., Charkaoui, A., Cherrafi, A., Garza‐Reyes, J. A., Antony, J., & Shokri, A. (2023) · Quality Management Journal · doi:10.1080/10686967.2022.2144784 · Cited by 104 · see citing works
Industry 4.0: critical investigations and synthesis of key findings
Elnadi, M., & Abdallah, Y. O. (2023) · Management Review Quarterly · doi:10.1007/s11301-022-00314-4 · Cited by 96 · see citing works
Aziz, A., Schelén, O., & Bodin, U. (2020) · IoT · doi:10.3390/iot1020029 · Cited by 83 · see citing works
Reference Models for Digital Manufacturing Platforms
Fraile, F., Sanchís, R., Poler, R., & Ortíz, Á. (2019) · Applied Sciences · doi:10.3390/app9204433 · Cited by 75 · see citing works
Molokomme, D. N., Onumanyi, A. J., & Abu-Mahfouz, A. M. I. (2022) · Journal of Sensor and Actuator Networks · doi:10.3390/jsan11030047 · Cited by 82 · see citing works
Edge Computing Architectures in Industry 4.0: A General Survey and Comparison
Sittón-Candanedo, I., Alonso, R. S., Rodrı́guez, S., Coria, J. A. G., & la Prieta, F. D. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-20055-8_12 · Cited by 72 · see citing works
Sverko, M., Grbac, T. G., & Mikuc, M. (2022) · IEEE Access · doi:10.1109/access.2022.3211288 · Cited by 71 · see citing works
“[88]”
BackgroundMiehe, R., Bauernhansl, T., Beckett, M., Brecher, C., Demmer, A., Drossel, W. G., Elfert, P., Full, J., Hellmich, A., Hinxlage, J., et al. (2019) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2019.11.006 · Cited by 72 · see citing works
A holistic model for Global Industry 4.0 readiness assessment
Tripathi, S., & Gupta, M. (2021) · Benchmarking An International Journal · doi:10.1108/bij-07-2020-0354 · Cited by 68 · see citing works
Islam, S., Islam, M. J., Hossain, M., Noor, S., Kwak, K. S., & Islam, S. (2023) · IEEE Access · doi:10.1109/access.2023.3267047 · Cited by 71 · see citing works
A conceptual framework for smart production planning and control in Industry 4.0
Cañas, H., Mula, J., Campuzano, F., & Escoto, R. P. (2022) · Computers & industrial engineering · doi:10.1016/j.cie.2022.108659 · Cited by 60 · see citing works
Human-in-Loop: A Review of Smart Manufacturing Deployments
Bhattacharya, M., Penica, M., O’Connell, E., Southern, M., & Hayes, M. J. (2023) · Systems · doi:10.3390/systems11010035 · Cited by 69 · see citing works
Boccella, A. R., Centobelli, P., Cerchione, R., Murino, T., & Riedel, R. (2020) · Applied Sciences · doi:10.3390/app10030755 · Cited by 65 · see citing works
Securing IIoT using Defence-in-Depth: Towards an End-to-End secure Industry 4.0
Mosteiro-Sanchez, A., Barcelo, M., Astorga, J., & Urbieta, A. (2020) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.10.011 · Cited by 64 · see citing works
Uysal, M. P., & Mergen, A. E. (2021) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2021.100202 · Cited by 62 · see citing works
Realization of AI-enhanced industrial automation systems using intelligent Digital Twins
Jazdi, N., Talkhestani, B. A., Maschler, B., & Weyrich, M. (2021) · Procedia CIRP · doi:10.1016/j.procir.2020.05.257 · Cited by 65 · see citing works
Turner, C. J., Ma, R., Chen, J., & Oyekan, J. O. (2021) · IEEE Access · doi:10.1109/access.2021.3099311 · Cited by 74 · see citing works
A Primer on the Factories of the Future
Anumbe, N. C., Saidy, C., & Harik, R. (2022) · Sensors · doi:10.3390/s22155834 · Cited by 64 · see citing works
A Smart Factory Architecture Based on Industry 4.0 Technologies: Open-Source Software Implementation
Fortoul-Diaz, J. A., Carrillo-Martinez, L. A., Centeno-Téllez, A., Cortés-Santacruz, F., Olmos-Pineda, I., & Quintero, R. R. F. (2023) · IEEE Access · doi:10.1109/access.2023.3316116 · Cited by 61 · see citing works
A General Outline of a Sustainable Supply Chain 4.0
Cañas, H., Mula, J., & Bolarín, F. C. (2020) · Sustainability · doi:10.3390/su12197978 · Cited by 60 · see citing works
Jayasekara, D. C., Lai, N. Y. G., Wong, K.-H., Pawar, K. S., & Zhu, Y. (2021) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2021.10.015 · Cited by 60 · see citing works
Delaram, J., Houshmand, M., Ashtiani, F., & Valilai, O. F. (2021) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2021.07.012 · Cited by 59 · see citing works
Kaiser, J., McFarlane, D., Hawkridge, G., André, P., & Leitão, P. (2023) · Computers in Industry · doi:10.1016/j.compind.2023.103923 · Cited by 57 · see citing works
Liagkou, V., Stylios, C. D., Pappa, L., & Petunin, A. (2021) · Electronics · doi:10.3390/electronics10162001 · Cited by 59 · see citing works
Digital twins: Transforming the chemical process industry—A review
Pal, P. K., Hens, A., Behera, N., & Lahiri, S. K. (2025) · The Canadian Journal of Chemical Engineering · doi:10.1002/cjce.25611 · Cited by 58 · see citing works
A survey of immersive technologies and applications for industrial product development
Liu, R., Peng, C. Y., Zhang, Y., Husarek, H., & Yu, Q. (2021) · Computers & Graphics · doi:10.1016/j.cag.2021.07.023 · Cited by 49 · see citing works
Impacts of Industry 4.0 technologies on Lean management tools: a bibliometric analysis
Elafri, N., Rose, B., & Boudemagh, S. S. (2022) · International Journal on Interactive Design and Manufacturing (IJIDeM) · doi:10.1007/s12008-021-00795-9 · Cited by 49 · see citing works
On the impact of Industrial Internet of Things (IIoT) - mining sector perspectives
Zvarivadza, T., Onifade, M., Dayo-Olupona, O., Said, K. O., Githiria, J. M., Genc, B., & Çelik, T. (2024) · International Journal of Mining Reclamation and Environment · doi:10.1080/17480930.2024.2347131 · Cited by 46 · see citing works
Analysis of fractal manufacturing systems framework towards industry 4.0
Peralta, E., & Soltero, V. M. (2020) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.08.004 · Cited by 46 · see citing works
Bousdekis, A., & Mentzas, G. N. (2021) · Frontiers in Big Data · doi:10.3389/fdata.2021.644651 · Cited by 42 · see citing works
Big data/analytics platform for Industry 4.0 implementation in advanced manufacturing context
Bonnard, R., Arantes, M. D. S., Lorbieski, R., Vieira, K., & Nunes, M. C. (2021) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-021-07834-5 · Cited by 42 · see citing works
A framework for identifying and analysing industry 4.0 scenarios
Ferreira, W. D. P., Armellini, F., de Santa-Eulália, L. A., & Thomasset-Laperrière, V. (2022) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2022.09.002 · Cited by 43 · see citing works
Bustinza, Ó. F., Fernández, L. M. M., Vendrell-Herrero, F., & Basáez, M. O. (2024) · International Journal of Production Economics · doi:10.1016/j.ijpe.2024.109411 · Cited by 41 · see citing works
Zhang, T., Wei, L., & Liu, J. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.163978 · Cited by 41 · see citing works
Magas, M., & Kiritsis, D. (2021) · International Journal of Production Research · doi:10.1080/00207543.2021.1989514 · Cited by 40 · see citing works
Adaptable automation with modular deep reinforcement learning and policy transfer
Raziei, Z., & Moghaddam, M. (2021) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2021.104296 · Cited by 39 · see citing works
Self-citationLeveraging Task Modularity in Reinforcement Learning for Adaptable Industry 4.0 Automation
Chen, Q., Heydari, B., & Moghaddam, M. (2021) · Journal of Mechanical Design · doi:10.1115/1.4049531 · Cited by 37 · see citing works
Self-citationLugaresi, G., Alba, V. V., & Matta, A. (2020) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.09.003 · Cited by 38 · see citing works
Apilioğulları, L. (2022) · International Journal of Production Economics · doi:10.1016/j.ijpe.2022.108413 · Cited by 37 · see citing works
Cloud manufacturing architectures: State-of-art, research challenges and platforms description
Chiappa, S., Videla, E., Viana, V., Piñeyro, P., & Rossit, D. A. (2023) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2023.100472 · Cited by 34 · see citing works
Resilience of cyber-physical manufacturing control systems
Moghaddam, M., & Deshmukh, A. S. (2019) · Manufacturing Letters · doi:10.1016/j.mfglet.2019.05.002 · Cited by 33 · see citing works
Self-citationTraganos, K., Grefen, P., Vanderfeesten, I., Erasmus, J., Boultadakis, G., & Bouklis, P. (2021) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2021.09.003 · Cited by 33 · see citing works
Funke, T., & Becker, T. (2020) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.06.015 · Cited by 32 · see citing works
Aggarwal, A., Gupta, S., Jamwal, A., Agrawal, R., Sharma, M., & Dangayach, G. S. (2021) · Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture · doi:10.1177/09544054211040646 · Cited by 32 · see citing works
Lean 4.0: Synergies between Lean Management tools and Industry 4.0 technologies
Elafri, N., Tappert, J., Rose, B., & Maleh, Y. (2022) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2022.10.011 · Cited by 31 · see citing works
Applications of Secured Blockchain Technology in the Manufacturing Industry
Pal, K. (2021) · Advances in data mining and database management book series · doi:10.4018/978-1-7998-6694-7.ch010 · Cited by 30 · see citing works
Situation-aware manufacturing systems for capturing and handling disruptions
Eirinakis, P., Kasapidis, G. A., Mourtos, I., Repoussis, P. P., & Zampou, E. (2021) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.12.014 · Cited by 28 · see citing works
Conceptualizing and Assessing the Value of Internet of Things Solutions
Baltuttis, D., Häckel, B. S., Jonas, C., Oberländer, A. M., Röglinger, M., & Seyfried, J. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.10.063 · Cited by 27 · see citing works
Measuring Supply Chain Reconfigurability using Integrated and Deterministic Assessment Models
Biswas, P., Kumar, S., Jain, V., & Chandra, C. (2019) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2019.05.008 · Cited by 28 · see citing works
Bi, Z., Zhang, W., Wu, C., Luo, C., & Xu, L. (2021) · Machines · doi:10.3390/machines9100207 · Cited by 27 · see citing works
Wang, R., Milisavljevic-Syed, J., Guo, L., Huang, Y., & Wang, G. (2021) · Journal of Mechanical Design · doi:10.1115/1.4050247 · Cited by 26 · see citing works
Aggrey, G. A. B., Kusi, L. Y., Afum, E., Osei-Ahenkan, V. Y., Norman, C., Boateng, K. B., & Owusu, J. A. (2021) · Journal of Agribusiness in Developing and Emerging Economies · doi:10.1108/jadee-03-2021-0078 · Cited by 26 · see citing works
Mourtzis, D., Angelopoulos, J., & Panopoulos, N. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-91614-1.00002-2 · Cited by 26 · see citing works
Architectures for Industrial AIoT Applications
Villar, E., Toral, I. M., Calvo, I., Barambones, Ó., & Fernández-Bustamante, P. (2024) · Sensors · doi:10.3390/s24154929 · Cited by 31 · see citing works
Cyber-physical systems: a bibliometric analysis of literature
Singh, N. K., Panigrahi, P. K., Zhang, Z., & Jasimuddin, S. M. (2024) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-024-02380-9 · Cited by 27 · see citing works
An Engineering Process model for managing a digitalised life-cycle of products in the Industry 4.0
Urgese, G., Azzoni, P., van Deventer, J., Delsing, J., & Macii, E. (2020) · IEEE/IFIP Network Operations and Management Symposium (NOMS) · doi:10.1109/noms47738.2020.9110365 · Cited by 23 · see citing works
Standards-based semantic integration of manufacturing information: Past, present, and future
Kulvatunyou, B., Oh, H., Ivezic, N., & Nieman, S. (2019) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2019.07.003 · Cited by 22 · see citing works
Knowledge transfer methods for expressing product design information and organization
Wang, H., Chen, K., Zheng, H., Zhang, G., Wu, R., & Yu, X. (2020) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.11.009 · Cited by 21 · see citing works
The digitization work of cement plant in China
Tong, R., Sui, T., Feng, L., & Lin, L. (2023) · Cement and Concrete Research · doi:10.1016/j.cemconres.2023.107266 · Cited by 21 · see citing works
Grassi, A., Guizzi, G., Santillo, L. C., & Vespoli, S. (2020) · International series in management science/operations research/International series in operations research & management science · doi:10.1007/978-3-030-43177-8_10 · Cited by 19 · see citing works
Context-oriented trust computation model for industrial Internet of Things
Altaf, A., Abbas, H., Iqbal, F., Khan, F. A., Rubab, S., & Derhab, A. (2021) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2021.107123 · Cited by 19 · see citing works
Spatio-temporal synchronisation for human-cyber-physical assembly workstation 4.0 systems
Ling, S., Guo, D., Rong, Y. K., & Huang, G. Q. (2021) · International Journal of Production Research · doi:10.1080/00207543.2021.2010826 · Cited by 19 · see citing works
Architecture for managing AAS-based business processes
Ochoa, W., Larrinaga, F., & Pérez, A. (2023) · Procedia Computer Science · doi:10.1016/j.procs.2022.12.217 · Cited by 18 · see citing works
Context-aware scheduling and control architecture for cyber-physical production systems
Wan, G., Dong, X., Dong, Q., He, Y., & Zeng, P. (2022) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2022.01.008 · Cited by 18 · see citing works
Lee, S.-I., & Ryu, K. (2022) · Applied Sciences · doi:10.3390/app12105172 · Cited by 17 · see citing works
Framework and Capability of Industrial IoT Infrastructure for Smart Manufacturing
Li, K., Zhang, Y., Huang, Y., Zhiwei, T., & Sang, Z. (2023) · Standards · doi:10.3390/standards3010001 · Cited by 17 · see citing works
Deploying data analytics models in asset administration shells: Energy prediction in manufacturing
Shin, S., & Um, J. (2024) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2024.109269 · Cited by 17 · see citing works
Zhai, W., Han, Q. K., Chen, L., & Shi, X. (2024) · International Conference on Artificial Intelligence and Automation Control (AIAC) · doi:10.1109/aiac63745.2024.10899729 · Cited by 17 · see citing works
Tihinen, M., Pikkarainen, A., & Joutsenvaara, J. (2021) · Future Internet · doi:10.3390/fi13080192 · Cited by 16 · see citing works
A component-based design approach for energy flexibility in cyber-physical manufacturing systems
Assad, F., Rushforth, E. J., & Harrison, R. (2023) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-023-02280-4 · Cited by 16 · see citing works
Artificial intelligence and its relevance in mechanical engineering from Industry 4.0 perspective
Ambadekar, P. K., Ambadekar, S. P., Choudhari, C. M., Patil, S. A., & Gawande, S. H. (2023) · Australian Journal of Mechanical Engineering · doi:10.1080/14484846.2023.2249144 · Cited by 15 · see citing works
Angreani, L. S., Vijaya, A., & Wicaksono, H. (2024) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-07-2022-0269 · Cited by 15 · see citing works
Coordinated allocation production routing problem for mobile supply chains with shared factories
Shahmoradi-Moghadam, H., & Schönberger, J. (2021) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2021.107501 · Cited by 15 · see citing works
Neural Network Insights of Blockchain Technology in Manufacturing Improvement
Kwok, A. O. J., & Koh, S. G. M. (2020) · IEEE International Conference on Industrial Engineering and Applications (ICIEA) · doi:10.1109/iciea49774.2020.9101957 · Cited by 14 · see citing works
An approach for designing a platform of smart welding station system
Febriani, R. A., Park, H., & Lee, C.-M. (2020) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-019-04808-6 · Cited by 13 · see citing works
Towards IT/OT integration in industry digitalization: A comprehensive survey
Venanzi, R., Modica, G., Foschini, L., & Bellavista, P. (2025) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2025.104373 · Cited by 12 · see citing works
- Authors
- Moghaddam, M., Cadavid, M. N., Kenley, C. R., & Deshmukh, A. V.
- Affiliations
- Northeastern University (US)
- Purdue University West Lafayette (US)
- Corresponding author
- Moghaddam, Mohsen
- Venue
- Journal of Manufacturing Systems
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 49
- Pages
- 215-225
- ISSN
- 0278-6125 (ISSN-L)
- OpenAlex
- W2901894327
- Cited by
- 219
- References
- 48
- Citations by year
- 2026: 19 · 2025: 13 · 2024: 33 · 2023: 35 · 2022: 30 · 2021: 46 · 2020: 24 · 2019: 19
- FWCI
- 18.43
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Manufacturing Systems (acceptedVersion)
- Funders
- National Institute of Standards and Technology
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Flexible and Reconfigurable Manufacturing Systems
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Collaboration in agile enterprises
- Keywords
- smart manufacturing, reference architecture, Industry 4.0, cyber-physical production systems, cloud manufacturing, social manufacturing, service orientation, microservices, Internet of Things, human-machine interaction, smart objects, manufacturing paradigms
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