Current Standards Landscape for Smart Manufacturing Systems

An Introduction to Efficiency and Productivity Analysis

Coelli, T. J., Rao, D. S. P., O’Donnell, C. J., & Battese, G. E. (2005) · Springer eBooks · doi:10.1007/b136381 · Cited by 6,926

World Wide Web Consortium (W3C)

(2017) · CRC Press eBooks · doi:10.1081/e-elis4-120044744 · Cited by 539

Supply chain excellence : a handbook for dramatic improvement using the SCOR model

Bolstorff, P., & Rosenbaum, R. (2003) · Thammasat University Digital Collections · Cited by 333

Manufacturing strategy, competitive strategy and firm performance: An empirical study in a developing economy environment

Amoako‐Gyampah, K., & Acquaah, M. (2007) · International Journal of Production Economics · doi:10.1016/j.ijpe.2007.02.030 · Cited by 305

Agile Manufacturing: The 21st Century Competitive Strategy

Gunasekaran, A. (2001) · Elsevier eBooks · doi:10.1016/b978-0-08-043567-1.x5000-1 · Cited by 138

Global Information Architecture for Industrial Automation

Vogel‐Heuser, B., Kegel, G., & Wucherer, K. (2013) · atp magazin · doi:10.17560/atp.v51i01-02.1948 · Cited by 123

A Portrait of an ISO STEP Tolerancing Standard as an Enabler of Smart Manufacturing Systems

Feeney, A. B., Frechette, S., & Srinivasan, V. (2014) · Journal of Computing and Information Science in Engineering · doi:10.1115/1.4029050 · Cited by 113

Encyclopedia Britannica online

(2003) · Choice Reviews Online · doi:10.5860/choice.40sup-0010 · Cited by 97

Emerging Global Trends in Advanced Manufacturing

Shipp, S., Gupta, N., Lal, B., Scott, J. A., Weber, C. L., Finnin, M. S., Blake, M., Newsome, S., & Thomas, S. (2012) · Cited by 80

AutomationML: From data exchange to system planning and simulation

Faltinski, S., Niggemann, O., Moriz, N., & Mankowski, A. (2012) · IEEE International Conference on Industrial Technology (ICIT) · doi:10.1109/icit.2012.6209967 · Cited by 38

Multi-stakeholder’s sustainable requirement analysis for smart manufacturing systems based on the stakeholder value network approach

Qu, Y., Wang, Y., Ming, X., & Chu, X. (2023) · Computers & Industrial Engineering · doi:10.1016/j.cie.2023.109043 · Cited by 28

Predictive situation awareness model for smart manufacturing

Park, C. Y., Laskey, K. B., Salim, S., & Lee, J. Y. (2017) · International Conference on Information Fusion (FUSION) · doi:10.23919/icif.2017.8009849 · Cited by 29

The essential elements of intelligent Manufacturing System Architecture

Wei, S., Hu, J., Cheng, Y., Ma, Y., & Yu, Y. (2017) · IEEE International Conference on Automation Science and Engineering (CASE) · doi:10.1109/coase.2017.8256234 · Cited by 29

Smart CPS: vertical integration overview and user story with a cobot

Tamás, L., & Murar, M. (2018) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2018.1535196 · Cited by 28

Generic Design Methodology for Smart Manufacturing Systems from a Practical Perspective, Part I—Digital Triad Concept and Its Application as a System Reference Model

Bi, Z., Zhang, W., Wu, C., Luo, C., & Xu, L. (2021) · Machines · doi:10.3390/machines9100207 · Cited by 27

How to characterize a Digital Twin: A Usage-Driven Classification

Julien, N., & Martin, E. (2021) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2021.08.106 · Cited by 21

A cyber-physical robotic mobile fulfillment system in smart manufacturing: The simulation aspect

Keung, K. L., LEE, C. K. M., Xia, L., Liu, C., Bufan, L. I. U., & Ji, P. (2023) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2023.102578 · Cited by 27

The AUTOWARE Framework and Requirements for the Cognitive Digital Automation

Molina, E., Lázaro, Ó., Sepulcre, M., Gozálvez, J., Passarella, A., Raptis, T. P., Ude, A., Nemec, B., Rooker, M. N., Kirstein, F., et al. (2017) · IFIP advances in information and communication technology · doi:10.1007/978-3-319-65151-4_10 · Cited by 26

Requirements for a Human-Centered Condition Monitoring in Modular Production Environments

Birtel, M., Mohr, F., Hermann, J., Bertram, P., & Ruskowski, M. (2018) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2018.08.464 · Cited by 26

A Model for Working Environment Monitoring in Smart Manufacturing

Dobrilović, D., Brtka, V., Stojanov, Ž., Jotanović, G., Peraković, D., & Jauševac, G. (2021) · Applied Sciences · doi:10.3390/app11062850 · Cited by 26

A review of geometric dimensioning and tolerancing (GD&T) of additive manufacturing and powder bed fusion lattices

Pei, E., Kabir, I., Breški, T., Godec, D., & Nordin, A. (2022) · Progress in Additive Manufacturing · doi:10.1007/s40964-022-00304-8 · Cited by 26

Digital Manufacturing

Mourtzis, D., Angelopoulos, J., & Panopoulos, N. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-91614-1.00002-2 · Cited by 26

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 38

Personalization of the MES System to the Needs of Highly Variable Production

Zwolińska, B., Tubis, A. A., Chamier-Gliszczyński, N., & Kostrzewski, M. (2020) · Sensors · doi:10.3390/s20226484 · Cited by 25

Proposal and validation of an industry 4.0 maturity model for SMEs

Bohórquez, J. H. Á., & Herrera, R. D. J. G. (2022) · Journal of Industrial Engineering and Management · doi:10.3926/jiem.3673 · Cited by 25

A process model representation of the end-of-life phase of a product in a circular economy to identify standards needs

Mathur, N., Last, N., & Morris, K. C. (2023) · Frontiers in Manufacturing Technology · doi:10.3389/fmtec.2023.988073 · Cited by 30

Knowledge-based expert system to drive an informationally interoperable manufacturing system: An experimental application in the Aerospace Industry

Szejka, A. L., Canciglieri, O., & Mas, F. (2024) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2024.100661 · Cited by 24

Industrial Design and Development Software System Architecture Based on Model-Based Systems Engineering and Cloud Computing

Yu, C., Li, Q., Liu, K., Yuwen, C. H. E. N., & Wei, H. (2021) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2021.04.011 · Cited by 24

Fast Mesh Denoising With Data Driven Normal Filtering Using Deep Variational Autoencoders

Nousias, S., Arvanitis, G., Lalos, A. S., & Moustakas, K. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.3000491 · Cited by 23

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

Comparison of agent oriented software methodologies to apply in cyber physical production systems

Salazar, L. A. C., & Vogel‐Heuser, B. (2017) · IEEE International Conference on Industrial Informatics (INDIN) · doi:10.1109/indin.2017.8104748 · Cited by 22

Product lifecycle management and digital manufacturing technologies in the era of cloud computing

Holligan, C., Hargaden, V., & Papakostas, N. (2017) · IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) · doi:10.1109/ice.2017.8279980 · Cited by 22

Advancing towards industry 4.0: A maturity model for smart shop floor control

Bueno, A., Filho, M. G., Cecconello, M. D. S., de Santa-Eulália, L. A., Caiado, R. G. G., Ganga, G. M. D., & Carvalho, J. V. (2025) · International Journal of Production Economics · doi:10.1016/j.ijpe.2025.109538 · Cited by 21

Application of sustainable smart manufacturing technologies and toolkits in the automotive industry

Inyang, V. M., Kanakana, G. M., & Laseinde, O. T. (2023) · International Journal of Low-Carbon Technologies · doi:10.1093/ijlct/ctad023 · Cited by 20

Knowledge integration via the fusion of the data models used in automotive production systems

Cupek, R., Ziębiński, A., Drewniak, M., & Fojcik, M. (2018) · Enterprise Information Systems · doi:10.1080/17517575.2018.1489563 · Cited by 20

Defining Near-Term to Long-Term Research Opportunities to Advance Metrics, Models, and Methods for Smart and Sustainable Manufacturing

Raman, A. S., Haapala, K. R., Raoufi, K., Linke, B. S., Bernstein, W. Z., & Morris, K. C. (2020) · Smart and Sustainable Manufacturing Systems · doi:10.1520/ssms20190047 · Cited by 20

Smart Connected Digital Factories: Unleashing the Power of Industry 4.0

Papazoglou, M., & Andreou, A. S. (2019) · Communications in computer and information science · doi:10.1007/978-3-030-29193-8_5 · Cited by 19

The Manufacturing Planning and Control System: A Journey Towards the New Perspectives in Industry 4.0 Architectures

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

Two non-linear programming models for the multi-stage multi-cycle smart production system with autonomation and remanufacturing in same and different cycles to reduce wastes

Sarkar, B., Kugele, A. S. H., & Sarkar, M. (2024) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2024.100749 · Cited by 19

Modeling Manufacturing Resources: An Ontological Approach

Sanfilippo, E. M., Benavent, S., Stefano Borgo, A., Guarino, N., Troquard, N., Romero, F., Rosado, P., Solano, L., Belkadi, F., & Bernard, A. (2018) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-01614-2_28 · Cited by 19

An automated workflow for integrating environmental sustainability assessment into parametric part design through standard reference models

Bernstein, W. Z., Tensa, M. A., Praniewicz, M., Kwon, S., & Ramanujan, D. (2020) · Procedia CIRP · doi:10.1016/j.procir.2020.02.058 · Cited by 19

Assessment of Smart Manufacturing Solutions Based on Extended Value Stream Mapping

Martin, N. L., Dér, A., Herrmann, C. A., & Thiede, S. (2020) · Procedia CIRP · doi:10.1016/j.procir.2020.04.019 · Cited by 19

The Flow and Reuse of Data: Capabilities of AutomationML in the Production System Life Cycle

Schmidt, N., & Lüeder, A. (2018) · IEEE Industrial Electronics Magazine · doi:10.1109/mie.2018.2818748 · Cited by 19

Analytic Hierarchy Process and Multilayer Network-Based Method for Assembly Line Balancing

Nagy, L., Ruppert, T., & Abonyi, J. (2020) · Applied Sciences · doi:10.3390/app10113932 · Cited by 18

Additive manufacturing embraces big data

Bi, K., Lin, D. L., Liao, Y., Wu, C.-H. J., & Parandoush, P. (2021) · Progress in Additive Manufacturing · doi:10.1007/s40964-021-00172-8 · Cited by 18

A systematic mapping of semi-formal and formal methods in requirements engineering of industrial Cyber-Physical systems

Zahid, F., Tanveer, A., Kuo, M. M. Y., & Sinha, R. (2021) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-021-01753-8 · Cited by 18

Analysis of the Information Security Threats in the Digital Production Networks

Dakhnovich, A. D., Moskvin, D. A., & Петрович, З. Д. (2018) · Automatic Control and Computer Sciences · doi:10.3103/s0146411618080369 · Cited by 17

Embedded Intelligence: Platform Technologies, Device Analytics, and Smart City Applications

Ang, L.-M., & Seng, J. K. P. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3088217 · Cited by 17

Assessment of Smart Transformation in the Manufacturing Process of Aerospace Components Through a Data-Driven Approach

Bernabei, M., Eugeni, M., Gaudenzi, P., & Costantino, F. (2022) · Global Journal of Flexible Systems Management · doi:10.1007/s40171-022-00328-7 · Cited by 17

An Overview of Artificial Intelligence in Product Design for Smart Manufacturing

Aphirakmethawong, J., Yang, E., & Mehnen, J. (2022) · International Conference on Automation and Computing (ICAC) · doi:10.1109/icac55051.2022.9911089 · Cited by 16

Policy interactions with research trajectories: The case of cyber-physical convergence in manufacturing and industrials

Bordoloi, T., Philip Shapira, A., & Mativenga, P. T. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121347 · Cited by 16

Advancing Smart Manufacturing in Europe: Experiences from Two Decades of Research and Innovation Projects

Grefen, P., Vanderfeesten, I., Traganos, K., Domagała-Schmidt, Z., & van der Vleuten, J. (2022) · Machines · doi:10.3390/machines10010045 · Cited by 15

Enhancing strategy for Industry 4.0 implementation through maturity models and standard reference architectures alignment

Angreani, L. S., Vijaya, A., & Wicaksono, H. (2024) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-07-2022-0269 · Cited by 15

Integrating fuzzy Kano model and fuzzy analytic hierarchy process to evaluate requirements of smart manufacturing systems

Qu, Y., Xinguo, M., Qiu, S., Liu, Z., Zhang, X., & Hou, Z. (2019) · Concurrent Engineering · doi:10.1177/1063293x19845137 · Cited by 15

Enhancing operational performance and productivity benefits in breweries through smart manufacturing technologies

Nimbalkar, S. U., Supekar, S. D., Meadows, W., Wenning, T., Guo, W., & Cresko, J. W. (2020) · Journal of Advanced Manufacturing and Processing · doi:10.1002/amp2.10064 · Cited by 15

Model-based design and simulation of smart factory from usage and functional aspects

Komoto, H., & Masui, K. (2018) · CIRP Annals · doi:10.1016/j.cirp.2018.04.025 · Cited by 15

Industrial Internet of Things: covering standardization gaps for the next generation of reconfigurable production systems

Meyer, O., Rauhoeft, G., Schel, D., & Stock, D. (2018) · IEEE International Conference on Industrial Informatics (INDIN) · doi:10.1109/indin.2018.8472048 · Cited by 15

Application of SIRI for Industry 4.0 Maturity Assessment and Analysis

Lin, W., Low, M. Y. H., Chong, Y. T., & Teo, C. L. (2019) · doi:10.1109/ieem44572.2019.8978720 · Cited by 15

Smart Manufacturing

Tantawi, K. H., Fidan, I., Musa, Y., & Tantawy, A. (2023) · Advances in computational intelligence and robotics book series · doi:10.4018/978-1-7998-7852-0.ch008 · Cited by 14

Drilling down on Smart Manufacturing – enabling composable apps

Kulvatunyou, B., Ivezic, N., Morris, K. C., & Frechette, S. (2016) · Manufacturing Letters · doi:10.1016/j.mfglet.2016.08.004 · Cited by 14

Recent Industrial Roadmaps to Enable Smart Manufacturing of Biopharmaceuticals

Lin‐Gibson, S., & Srinivasan, V. (2019) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2019.2951018 · Cited by 14

A Guideline for the Standardization of Smart Manufacturing and the Role of RAMI 4.0 in Digitising the Industrial Sector

Shirbazo, A., Li, B., Ata, S., Ramandi, H. L., & Saydam, S. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3559929 · Cited by 13

Modeling of the Master Production Schedule for the Digital Transition of Manufacturing SMEs in the Context of Industry 4.0

Valencia, E. T., Samir Lamouri, A., Pellerin, R., & Moeuf, A. (2022) · Sustainability · doi:10.3390/su141912562 · Cited by 13

Towards Data and Model Interoperability for Industrial Extended Reality in Manufacturing

Bernstein, W. Z., Bowman, A., Durscher, R. J., Gillman, A. S., & Donegan, S. (2023) · Journal of Computing and Information Science in Engineering · doi:10.1115/1.4062328 · Cited by 14

Applications of the Factory Design and Improvement Reference Activity Model

Choi, S., Kang, G., Jung, K., Kulvatunyou, B., & Morris, K. C. (2016) · IFIP advances in information and communication technology · doi:10.1007/978-3-319-51133-7_82 · Cited by 13

Integrating A Dynamic Simulator and Advanced Process Control using the OPC-UA Standard

Latif, H. H., Shao, G., & Starly, B. (2019) · Procedia Manufacturing · doi:10.1016/j.promfg.2019.06.200 · Cited by 13

The State of Cybersecurity in Smart Manufacturing Systems: A Systematic Review

Júnior, A. A. D. S., Pio, J. L. D. S., Fonseca, J. C., de Oliveira, M. A., Valadares, O. C. D. P., & SILVA, P. H. S. D. (2021) · European Journal of Business Management and Research · doi:10.24018/ejbmr.2021.6.6.1173 · Cited by 16

Enabling Smart Manufacturing by Empowering Data Integration with Industrial IoT Support

Bosi, F., Antonio Corradi, A., Modica, G., Foschini, L., Montanari, R., Patera, L., & Solimando, M. (2020) · doi:10.1109/icte47868.2020.9215538 · Cited by 13

Extending the scope of reference models for smart factories

Soares, N., Monteiro, P., Duarte, F. J., & Machado, R. J. (2021) · Procedia Computer Science · doi:10.1016/j.procs.2021.01.134 · Cited by 13

Theory of Discrete Event Logistics Systems (DELS) specification

Sprock, T., Thiers, G., McGinnis, L. F., & Bock, C. E. (2020) · doi:10.6028/nist.ir.8262 · Cited by 13

How Can Firms Implement Smart Manufacturing Through Supply Chain Collaboration? A Multiple-Case Study from China

Liu, W., Hou, J., & Yang, C. (2022) · Production Planning & Control · doi:10.1080/09537287.2024.2362866 · Cited by 12

Feature-Based Framework for Inspection Process Planning

Romero, F., Castellano, P. R., Bellido, G. M. B., & Benavent, S. (2018) · Materials · doi:10.3390/ma11091504 · Cited by 12

Supportment for organization and management competences of ASEAN community and European Union toward Industry 4.0

Ramingwong, S., & Manopiniwes, W. (2019) · International Journal of ADVANCED AND APPLIED SCIENCES · doi:10.21833/ijaas.2019.03.014 · Cited by 12

BETA CONVERGENCE ANALYSIS OF GROSS VALUE ADDED IN THE HIGH-TECHNOLOGY MANUFACTURING INDUSTRIES

Șerban, A. C., Pelinescu, E., & Dospinescu, A. S. (2021) · Technological and Economic Development of Economy · doi:10.3846/tede.2021.15918 · Cited by 14

Taxonomy-Driven Graph-Theoretic Framework for Manufacturing Cybersecurity Risk Modeling and Assessment

Rahman, M. H., Hamedani, E. Y., Son, Y.-J., & Shafae, M. S. (2023) · Journal of Computing and Information Science in Engineering · doi:10.1115/1.4063729 · Cited by 12

Organizational Learning Supported by Reference Architecture Models: Industry 4.0 Laboratory Study

Nardello, M., Møller, C., & Gøtze, J. (2017) · Complex Systems Informatics and Modeling Quarterly · doi:10.7250/csimq.2017-12.02 · Cited by 12

Design and Implementation of Cyber-Physical System-Based Automation on Plant Chemical Process: Study Case Mini Batch Distillation Column

Budiawan, I., Pranoto, H. R., Hidayat, E., & Syaichu-Rohman, A. (2018) · doi:10.1109/icoict.2018.8528798 · Cited by 11

Towards the realization of dynamically adaptable manufacturing automation systems

Harrison, R., Vera, D., & Ahmad, B. (2021) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2020.0365 · Cited by 11

A SOA-Based Engineering Process Model for the Life Cycle Management of System-of-Systems in Industry 4.0

Urgese, G., Azzoni, P., van Deventer, J., Delsing, J., Macii, A., & Macii, E. (2022) · Applied Sciences · doi:10.3390/app12157730 · Cited by 11

Analyzing a Knowledge Graph of Industry 4.0 Standards

Grangel-González, I., & Vidal, M.-E. (2021) · International World Wide Web Conference (WWW) · doi:10.1145/3442442.3453542 · Cited by 11

Typology of Manufacturing Digital Twins: A First Step Towards a Deployment Methodology

Julien, N., & Martin, E. (2022) · Studies in computational intelligence · doi:10.1007/978-3-030-99108-1_12 · Cited by 11

Portable Medical Suction and Aspirator Devices: Are the Design and Performance Standards Relevant?

Peri, S. R., Akhter, F., Lorenzo, R. A. D., & Hood, R. L. (2022) · Sensors · doi:10.3390/s22072515 · Cited by 12

Challenges and Founding Pillars for a Manufacturing Platform to Support Value Networks Operating in a Circular Economy Framework

Pedrazzoli, P., Sorlini, M., Rovere, D., Lázaro, Ó., Maló, P., & Fiorello, M. (2022) · Applied Sciences · doi:10.3390/app12062995 · Cited by 10

STRATEGY OF DIGITAL TRANSFORMATION OF INDUSTRIAL ENTERPRISES: THE EFFECTS OF THE INTRODUCTION OF SMART MANUFACTURING TECHNOLOGIES

Ilkevich, S. (2022) · Strategic decisions and risk management · doi:10.17747/2618-947x-2022-3-210-225 · Cited by 10

Evaluation of smart manufacturing performance using a grey theory-based approach: a case study

Malaga, A., & Vinodh, S. (2021) · Grey Systems Theory and Application · doi:10.1108/gs-04-2021-0049 · Cited by 10

Smart Vaccine Manufacturing Using Novel Biotechnology Platforms: A Study During COVID-19

Kumar, V., Srinivasan, V., & Kumara, S. R. T. (2021) · Journal of Computing and Information Science in Engineering · doi:10.1115/1.4053273 · Cited by 10

A multilevel, multi-mode framework for standardization in digital B2B platform eco-systems in international cargo transportation—A multiple case study

Teßmann, R., & Elbert, R. M. (2022) · Electronic Markets · doi:10.1007/s12525-022-00551-1 · Cited by 12

Information exchange and knowledge discovery for additive manufacturing digital thread: a comprehensive literature review

Xiao, J., Anwer, N., Huang, H., Bonnard, R., Eynard, B., Huang, C., & Pei, E. (2024) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2024.2387768 · Cited by 9

Foundations of Information Governance for Smart Manufacturing

Morris, K. C., Lu, Y., & Frechette, S. (2020) · Smart and Sustainable Manufacturing Systems · doi:10.1520/ssms20190041 · Cited by 9

Collaborative Coexistence Management Scheme for Industrial Wireless Sensor Networks

Hong, S. H., Sun, J., Yu, M., Zhang, X., & Xu, A. (2018) · IEEE Access · doi:10.1109/access.2018.2886365 · Cited by 9

Review and Classification of Digital Manufacturing Reference Architectures

Kaiser, J., McFarlane, D., & Hawkridge, G. (2022) · Studies in computational intelligence · doi:10.1007/978-3-030-99108-1_17 · Cited by 9

Proportional Reliability of Agent-Oriented Software Engineering for the Application of Cyber Physical Production Systems

Salazar, L. A. C., & Li, H. (2018) · Studies in computational intelligence · doi:10.1007/978-3-319-73751-5_11 · Cited by 8

A proposal to make OCF and OPC UA interoperable

Cavalieri, S., & Scroppo, M. S. (2018) · IEEE International Conference on Industrial Technology (ICIT) · doi:10.1109/icit.2018.8352412 · Cited by 8

Applying Garlic Routing to Guarantee Secure Collaboration of Segments in a Digital Manufacturing Network

Dakhnovich, A. D., Петрович, З. Д., & Moskvin, D. A. (2018) · Automatic Control and Computer Sciences · doi:10.3103/s0146411618080060 · Cited by 8

A Digital Shadow cloud-based application to enhance quality control in manufacturing

Santolamazza, A., Groth, C., Introna, V., Porziani, S., Scarpitta, F., Urso, G., Valentini, P. P., Costa, E., Ferrante, E., Sorrentino, S., et al. (2020) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2020.12.2809 · Cited by 8

Software-Defined Manufacturing: Reference Architecture

Frick, F., Ellwein, C., Lechler, A., Neubauer, M., & Verl, A. W. (2024) · International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM) · doi:10.1109/speedam61530.2024.10609236 · Cited by 7

Design Issues of Information and Communication Systems for New Generation Industrial Enterprises

Leventsov, V. A., Radaev, A. E., & Nikolaevskiy, N. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-67380-6_13 · Cited by 7

IoT and Smart Manufacturing

Rehman, A. U., Khan, I. U., Murtaza, A., & Naz, U. (2018) · Advances in e-business research series · doi:10.4018/978-1-5225-3628-4.ch001 · Cited by 7

Integrated Operations Management for Distributed Manufacturing

Sprock, T., Sharp, M. E., Bernstein, W. Z., Brundage, M. P., Helu, M., & Hedberg, T. (2019) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2019.11.466 · Cited by 7

Functional Safety and Cybersecurity Analysis and Management in Smart Manufacturing Systems

KOSMOWSKI, K. T. (2020) · Springer eBooks · doi:10.1007/978-3-030-55732-4_3 · Cited by 7

Aligning IIoT and ISA-95 to Improve Asset Management in Process Industries

The, Y.-L., & Kuusk, A. G. (2020) · Lecture notes in mechanical engineering · doi:10.1007/978-3-030-64228-0_14 · Cited by 7

State of Industry 4.0 Across Six French Companies

Chengula, Z., Morato, M. A. R., Thurner, T., Wiedensohler, Y., & Martin, L. (2018) · IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) · doi:10.1109/ice.2018.8436256 · Cited by 7

The median control chart for process monitoring in short production runs

Khoo, M. B. C., Saha, S., Teh, S. Y., Haq, A., & Lee, H. C. (2020) · Communications in Statistics - Simulation and Computation · doi:10.1080/03610918.2020.1783557 · Cited by 7

Optimization of the Flow of Parts in the Process of Brake Caliper Regeneration Using the System Dynamics Method

Litwin, P., Gola, A., Wójcik, Ł., & Cioch, M. (2023) · Processes · doi:10.3390/pr12010016 · Cited by 6

Empirical analysis of industry 4.0 and the circular economy in accelerating the SDGs in G20 economies

Garg, V., Kaushik, P., & Singh, S. (2025) · Energy Informatics · doi:10.1186/s42162-025-00581-x · Cited by 6

Smart Manufacturing and Pro-Environmental Behavior: Moderated Serial Mediation Modelling and Analysis

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