Cited by 1,352Digital Transformation in IndustryImpact of AI and Big Data on Business and SocietyFlexible and Reconfigurable Manufacturing Systems

The DOI matches its Crossref record; 20 of the 34 references it cites were found in a registry or an index.

Industry 4.0 – A Glimpse

Open access

Vaidya, Saurabh, Ambad, Prashant, Bhosle, Santosh·2018·Procedia Manufacturing

DOI 10.1016/j.promfg.2018.02.034

Open this paper in CoChat — free account Open PDF

Abstract

Digitization and intelligentization of manufacturing process is the need for today’s industry. The manufacturing industries are currently changing from mass production to customized production. The rapid advancements in manufacturing technologies and applications in the industries help in increasing productivity. The term Industry 4.0 stands for the fourth industrial revolution which is defined as a new level of organization and control over the entire value chain of the life cycle of products; it is geared towards increasingly individualized customer requirements. Industry 4.0 is still visionary but a realistic concept which includes Internet of Things, Industrial Internet, Smart Manufacturing and Cloud based Manufacturing. Industry 4.0 concerns the strict integration of human in the manufacturing process so as to have continuous improvement and focus on value adding activities and avoiding wastes. The objective of this paper is to provide an overview of Industry 4.0 and understanding of the nine pillars of Industry 4.0 with its applications and identifying the challenges and issues occurring with implementation the Industry 4.0 and to study the new trends and streams related to Industry 4.0.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1016/j.promfg.2018.02.034

Cites

20 of 20 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment
Lee, J., Kao, H.-A., & Yang, S. (2014) · Procedia CIRP · doi:10.1016/j.procir.2014.02.001 · Cited by 1,965
Opportunities of Sustainable Manufacturing in Industry 4.0
Stock, T. W., & Seliger, G. (2016) · Procedia CIRP · doi:10.1016/j.procir.2016.01.129 · Cited by 1,947
A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises
Schumacher, A., Erol, S., & Sihn, W. (2016) · Procedia CIRP · doi:10.1016/j.procir.2016.07.040 · Cited by 1,766
Implementing Smart Factory of Industrie 4.0: An Outlook
Wang, S., Wan, J., Li, D., & Zhang, C. (2016) · International Journal of Distributed Sensor Networks · doi:10.1155/2016/3159805 · Cited by 1,527
“Industrie 4.0” and Smart Manufacturing – A Review of Research Issues and Application Examples
Thoben, K., Wiesner, S., Wuest, T., & Industrial and Management Systems Engineering (2017) · International Journal of Automation Technology · doi:10.20965/ijat.2017.p0004 · Cited by 1,148
A Categorical Framework of Manufacturing for Industry 4.0 and Beyond
Qin, J., Liu, Y., & Grosvenor, R. I. (2016) · Procedia CIRP · doi:10.1016/j.procir.2016.08.005 · Cited by 1,043
INDUSTRY 4.0: A REVIEW ON INDUSTRIAL AUTOMATION AND ROBOTIC
Bahrin, M. A. K., Othman, M. F., Azli, N. H. N., & Talib, M. F. (2016) · Jurnal Teknologi · doi:10.11113/jt.v78.9285 · Cited by 680
Tangible Industry 4.0: A Scenario-Based Approach to Learning for the Future of Production
Erol, S., Jäger, A., Hold, P., Ott, K., & Sihn, W. (2016) · Procedia CIRP · doi:10.1016/j.procir.2016.03.162 · Cited by 636
The Industry 4.0 revolution and the future of Manufacturing Execution Systems (MES)
Almada-Lobo, F. (2016) · Journal of Innovation Management · doi:10.24840/2183-0606_003.004_0003 · Cited by 622
Lean Automation enabled by Industry 4.0 Technologies
Kolberg, D., & Zühlke, D. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.06.359 · Cited by 617

Flagged first, then by citations

Show all 34 references

14 of the 34 references couldn’t be matched to a known paper.

Research works printed but not linked: 4

Brettel, 2014, How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape: An Industry 4.0 Perspective, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, 8, 36
Witkowski, 2017, Internet of Things, Big Data, Industry 4.0- Innovative Solutions in Logistics and Supply Chains Management, 7th International Conference on Engineering, Project, and Production Management, Procedia Engineering, 182, 763
E. Hozdić, Smart Factory for Industry 4.0: A Review, International Journal of Modern Manufacturing Technologies, ISSN 2067–3604, (Vol. VII, No. 1 (2015) 28-35.
A.C. Valdeza, P. Braunera, A.K. Schaara, Reducing Complexity with Simplicity - Usability Methods for Industry 4.0, Proceedings 19th Triennial Congress of the IEA, Melbourne 9-14 August 2015.

Sorted by citations

Items 101–200 of 1,000

Digital twin-driven dynamic scheduling of a hybrid flow shop
Tliba, K., Diallo, T. M. L., Penas, O., Khalifa, R. B., Yahia, N. B., & Choley, J. (2022) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-022-01922-3 · Cited by 69
Identifying organizations’ dynamic capabilities for sustainable digital transformation: A mixed methods study
Feroz, A. K., Zo, H., Eom, J., & Chiravuri, A. (2023) · Technology in Society · doi:10.1016/j.techsoc.2023.102257 · Cited by 106
A bibliometric and scientometric mapping of Industry 4.0 in construction
Zabidin, N. S., Belayutham, S., & Ibrahim, C. K. I. C. (2020) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2020.017 · Cited by 88
Implementing industry 4.0 real-time performance management systems: the case of Schneider Electric
Robert, M., Giuliani, P., & Gurǎu, C. (2020) · Production Planning & Control · doi:10.1080/09537287.2020.1810761 · Cited by 87
Digitalisation and internationalisation in SMEs: a systematic review and research agenda
Bargoni, A., Ferraris, A., Vilamová, Š., & Hussain, W. M. H. W. (2024) · Journal of Enterprise Information Management · doi:10.1108/jeim-12-2022-0473 · Cited by 87
The Implementation of Industry 4.0 – A Systematic Literature Review of the Key Factors
Hoyer, C., Gunawan, I., & Reaiche, C. H. (2020) · Systems Research and Behavioral Science · doi:10.1002/sres.2701 · Cited by 86
Towards a Conceptual Development of Industry 4.0, Servitisation, and Circular Economy: A Systematic Literature Review
Atif, S., Ahmed, S., Wasim, M., Zeb, B., Pervez, Z., & Quinn, L. (2021) · Sustainability · doi:10.3390/su13116501 · Cited by 90
Analysis of readiness factors for Industry 4.0 implementation in SMEs using COPRAS
Sriram, R., & Vinodh, S. (2020) · International Journal of Quality & Reliability Management · doi:10.1108/ijqrm-04-2020-0121 · Cited by 84
Applications of emerging technologies in logistics sector for achieving circular economy goals during COVID 19 pandemic: analysis of critical success factors
Gupta, A., & Singh, R. K. (2021) · International Journal of Logistics Research and Applications · doi:10.1080/13675567.2021.1985095 · Cited by 90
Evolution of Industry and Blockchain Era: Monitoring Price Hike and Corruption Using BIoT for Smart Government and Industry 4.0
Hasan, M. K., Akhtaruzzaman, M., Kabir, S. R., Gadekallu, T. R., Islam, S., Magalingam, P., Hassan, R. B., Alazab, M., & Alazab, M. (2022) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2022.3164066 · Cited by 84
A framework to measure readiness and barriers for the implementation of Industry 4.0: A case approach
Govindan, K., & Arampatzis, G. (2023) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2023.101249 · Cited by 83
Genetic algorithm-enhanced microcomb state generation
Mazoukh, C., Lauro, L. D., Alamgir, I., Fischer, B., Perron, N., Aadhi, A. R., Eshaghi, A., Little, B. E., Chu, S. T., Moss, D., et al. (2024) · Communications Physics · doi:10.1038/s42005-024-01558-0 · Cited by 76
The Economic Aspect of Digital Sustainability: A Systematic Review
Cricelli, L., & Strazzullo, S. (2021) · Sustainability · doi:10.3390/su13158241 · Cited by 82
Integrating Industry 4.0 and circular economy: a review
Sahu, A., Agrawal, S., & Kumar, G. (2021) · Journal of Enterprise Information Management · doi:10.1108/jeim-11-2020-0465 · Cited by 90
Enabler toward successful implementation of Quality 4.0 in digital transformation era: a comprehensive review and future research agenda
Thekkoote, R. (2022) · International Journal of Quality & Reliability Management · doi:10.1108/ijqrm-07-2021-0206 · Cited by 87
Factors Influencing the Implementation of Industry 4.0 for Sustainability in Manufacturing
Kumar, V., Vrat, P., & Shankar, R. (2022) · Global Journal of Flexible Systems Management · doi:10.1007/s40171-022-00312-1 · Cited by 82
Digital Twin Implementation in Additive Manufacturing: A Comprehensive Review
Amor, S. B., Elloumi, N., Eltaief, A., Louhichi, B., Alrasheedi, N., & Seibi, A. (2024) · Processes · doi:10.3390/pr12061062 · Cited by 62
Emotion-Driven Analysis and Control of Human-Robot Interactions in Collaborative Applications
Eyam, A. T., Mohammed, W. M., & Lastra, J. L. M. (2021) · Sensors · doi:10.3390/s21144626 · Cited by 81
Development of Project Risk Management framework based on Industry 4.0 technologies
Rane, S. B., Potdar, P. R., & Rane, S. (2019) · Benchmarking An International Journal · doi:10.1108/bij-03-2019-0123 · Cited by 80
Ontology-based knowledge representation of industrial production workflow
Yang, C., Zheng, Y., Tu, X., Ala-Laurinaho, R., Autiosalo, J., Seppänen, O., & Tammi, K. (2023) · Advanced Engineering Informatics · doi:10.1016/j.aei.2023.102185 · Cited by 80
Digital twin simulation modeling, artificial intelligence-based Internet of Manufacturing Things systems, and virtual machine and cognitive computing algorithms in the Industry 4.0-based Slovak labor market
Valášková, K., Nagy, M., & Grecu, G. (2024) · Oeconomia Copernicana · doi:10.24136/oc.2814 · Cited by 80
Process safety concerns in process system digitalization
Khan, F. I., Amyotte, P. R., & Adedigba, S. (2020) · Education for Chemical Engineers · doi:10.1016/j.ece.2020.11.002 · Cited by 79
The Situation of Technology Companies in Industry 4.0 and the Open Innovation
Hanafiah, M. H., & Soomro, M. A. (2021) · Journal of Open Innovation Technology Market and Complexity · doi:10.3390/joitmc7010034 · Cited by 79
Smart manufacturing systems: a futuristics roadmap towards application of industry 4.0 technologies
Singh, A., Madaan, G., Swapna, H. R., & Kumar, A. (2022) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2022.2090607 · Cited by 83
Healthcare and Fitness Data Management Using the IoT-Based Blockchain Platform
Frikha, T., Chaari, A., Chaabane, F., Cheikhrouhou, O., & Zaguia, A. (2021) · Journal of Healthcare Engineering · doi:10.1155/2021/9978863 · Cited by 78
Retracted
The smart SME technology readiness assessment methodology in the context of industry 4.0
Saad, S. M., Bahadori, R., & Jafarnejad, H. (2021) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-07-2020-0267 · Cited by 77
Narrowing the barriers to Industry 4.0 practices through PCA-Fuzzy AHP-K means
Kumar, S., Suhaib, M., & Asjad, M. (2020) · Journal of Advances in Management Research · doi:10.1108/jamr-06-2020-0098 · Cited by 76
Beyond playful learning – Serious games for the human-centric digital transformation of production and a design process model
Brauner, P., & Ziefle, M. (2022) · Technology in Society · doi:10.1016/j.techsoc.2022.102140 · Cited by 83
Industry 4.0, Disaster Risk Management and Infrastructure Resilience: A Systematic Review and Bibliometric Analysis
Rad, M. H., Mojtahedi, M., & Ostwald, M. J. (2021) · Buildings · doi:10.3390/buildings11090411 · Cited by 74
Industry 5.0 Challenges and Perspectives for Manufacturing Systems in the Society 5.0
Paschek, D., Luminosu, C. T., & Ocakci, E. (2021) · Advances in sustainability science and technology · doi:10.1007/978-981-16-7365-8_2 · Cited by 74
Augmented reality – an important aspect of Industry 4.0
Sharma, A., Mehtab, R. R., Mohan, S. K., & Shah, M. K. M. (2021) · Industrial Robot the international journal of robotics research and application · doi:10.1108/ir-09-2021-0204 · Cited by 75
Identification of cause and effect relationships among barriers of Industry 4.0 using decision-making trial and evaluation laboratory method
Nimawat, D., & Gidwani, B. D. (2021) · Benchmarking An International Journal · doi:10.1108/bij-08-2020-0429 · Cited by 72
Industry 4.0 Technologies and Their Impact in Contemporary Logistics: A Systematic Literature Review
Efthymiou, O. Κ., & Ponis, S. T. (2021) · Sustainability · doi:10.3390/su132111643 · Cited by 72
Role of Academics in Transferring Knowledge and Skills on Artificial Intelligence, Internet of Things and Edge Computing
Dec, G. R., Stadnicka, D., Paśko, Ł., Mądziel, M., Figliè, R., Mazzei, D., Tyrovolas, M., Stylios, C. D., Navarro, J., & Solé-Beteta, X. (2022) · Sensors · doi:10.3390/s22072496 · Cited by 72
Role of Industry 5.0 for driving sustainability in the manufacturing sector: an emerging research agenda
Narkhede, G. B., Chinchanikar, S. S., Narkhede, R., & Chaudhari, T. (2024) · Journal of strategy and management · doi:10.1108/jsma-06-2023-0144 · Cited by 72
SCADA Systems With Focus on Continuous Manufacturing and Steel Industry: A Survey on Architectures, Standards, Challenges and Industry 5.0
Sverko, M., Grbac, T. G., & Mikuc, M. (2022) · IEEE Access · doi:10.1109/access.2022.3211288 · Cited by 71
“…an Intelligent management of the manufacturing process [2] As a result of the smart factory concept implementation, Lean, Flexible, Sustainable, Digital, Cloud, Intelligent, Holonic, Additive and Agile manufacturing models have been deﬁned [3], [4], based on utilization of speciﬁc groups of I4.”
Background
Packaging 4.0: The threshold of an intelligent approach
Sadeghi, K., Kim, J., & Seo, J. (2022) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.12932 · Cited by 71
Evaluation of key factors for industry 4.0 technologies adoption in small and medium enterprises (SMEs): an emerging economy context
Karuppiah, K., Sankaranarayanan, B., D’Adamo, I., & Ali, S. M. (2022) · Journal of Asia Business Studies · doi:10.1108/jabs-05-2021-0202 · Cited by 71
Reliance on Artificial Intelligence, Machine Learning and Deep Learning in the Era of Industry 4.0
Rao, T. V. N., Gaddam, A., Kurni, M., & Saritha, K. (2021) · Wiley eBooks · doi:10.1002/9781119792253.ch12 · Cited by 71
Business transformation through sustainability based on Industry 4.0
da Rocha, A. B. T., de Oliveira, K. B., Espuny, M., Reis, J. S. D. M., & de Oliveira, O. J. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e10015 · Cited by 70
A two-stage metaheuristic algorithm for the dynamic vehicle routing problem in Industry 4.0 approach
Abdirad, M., Krishnan, K., & Gupta, D. (2020) · Journal of Management Analytics · doi:10.1080/23270012.2020.1811166 · Cited by 69
Mapping the implications and competencies for Industry 4.0 to hard and soft total quality management
Babatunde, O. (2020) · The TQM Journal · doi:10.1108/tqm-07-2020-0158 · Cited by 57
Assessing the key enablers for Industry 4.0 adoption using MICMAC analysis: a case study
Krishnan, S., Gupta, S., Mathiyazhagan, K., Kumar, P. V., & Garza‐Reyes, J. A. (2021) · International Journal of Productivity and Performance Management · doi:10.1108/ijppm-02-2020-0053 · Cited by 69
The implementation of Industry 4.0 in manufacturing: from lean manufacturing to product design
Huang, Z., Jowers, C., Kent, D., Dehghan‐Manshadi, A., & Dargusch, M. S. (2022) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-022-09511-7 · Cited by 69
Data quality challenges in large-scale cyber-physical systems: A systematic review
Alwan, A. A., Ciupala, M. A., Brimicombe, A. J., Ghorashi, S. A., Baravalle, A., & Falcarin, P. (2022) · Information Systems · doi:10.1016/j.is.2021.101951 · Cited by 68
Impact of Additive Manufacturing on the Supply Chain of Aerospace Spare Parts Industry—A Review
Debnath, B., Shakur, M. S., Tanjum, F., Rahman, M., & Adnan, Z. H. (2022) · Logistics · doi:10.3390/logistics6020028 · Cited by 73
Drivers and influencers of blockchain and cloud-based business sustainability accounting in China: Enhancing practices and promoting adoption
Tian, Z., Qiu, L., & Wang, L. (2024) · PLoS ONE · doi:10.1371/journal.pone.0295802 · Cited by 69
Generative artificial intelligence (AI) tools in innovation management: a study on the appropriation of ChatGPT by innovation managers
Cimino, A., Felicetti, A. M., Corvello, V., Ndou, V., & Longo, F. (2024) · Management Decision · doi:10.1108/md-10-2023-1968 · Cited by 69
Re-engineering process in a food factory: an overview of technologies and approaches for the design of pasta production processes
Massaro, A. S., & Galiano, A. M. (2020) · Production & Manufacturing Research · doi:10.1080/21693277.2020.1749180 · Cited by 67
Real-Time Fault Detection and Condition Monitoring for Industrial Autonomous Transfer Vehicles Utilizing Edge Artificial Intelligence
Gültekın, Ö., Çinar, E. M., Özkan, K., & Yazıcı, A. T. (2022) · Sensors · doi:10.3390/s22093208 · Cited by 68
A topic-based patent analytics approach for exploring technological trends in smart manufacturing
Wang, J., & Hsu, C.-C. (2020) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-03-2020-0106 · Cited by 69
PDCA 4.0: A New Conceptual Approach for Continuous Improvement in the Industry 4.0 Paradigm
Peças, P., Encarnação, J. M., Gambôa, M., Sampayo, M., & Jorge, D. P. (2021) · Applied Sciences · doi:10.3390/app11167671 · Cited by 65
Role of Industry 4.0 in agile manufacturing to achieve sustainable development
Agarwal, V., Hameed, A. Z., Malhotra, S., Mathiyazhagan, K., Alathur, S., & Appolloni, A. (2022) · Business Strategy and the Environment · doi:10.1002/bse.3321 · Cited by 65
Industry 4.0: defining the research agenda
Erro‐Garcés, A. (2019) · Benchmarking An International Journal · doi:10.1108/bij-12-2018-0444 · Cited by 65
The relationship between digital technologies and the circular economy: a systematic literature review and a research agenda
Neri, A., Cagno, E., Susur, E., Urueña, A., Nuur, C., Kumar, P. V., Franchi, S., & Sorrentino, C. (2024) · R and D Management · doi:10.1111/radm.12715 · Cited by 75
Development of a solution for adding a collaborative robot to an industrial AGV
D'Souza, F., Costa, J. P., & Pires, J. N. (2020) · Industrial Robot the international journal of robotics research and application · doi:10.1108/ir-01-2020-0004 · Cited by 63
Development of an Intelligent Data-Driven System to Recommend Personalized Fashion Design Solutions
Sharma, S., Koehl, L., Bruniaux, P., Zeng, X., & Wang, Z. (2021) · Sensors · doi:10.3390/s21124239 · Cited by 62
Towards industry 4.0 in practice: a novel RFID-based intelligent system for monitoring and optimisation of production systems
Pacheco, D. A. D. J., Jung, C. F., & de Azambuja, M. C. (2021) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-021-01840-w · Cited by 62
An Efficient Hybrid Deep Learning Model for Denial of Service Detection in Cyber Physical Systems
Sharma, A., Rani, S., Ahmed, S. H., Sharma, R., Yu, F., & Hassan, M. M. (2023) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2023.3273301 · Cited by 62
Selection of Industry 4.0 technologies for Lean Six Sigma integration using fuzzy DEMATEL approach
Ibrahim, A., & Kumar, G. (2024) · International Journal of Lean Six Sigma · doi:10.1108/ijlss-05-2023-0090 · Cited by 46
Big data analytics for retail industry using MapReduce-Apriori framework
Verma, N., Malhotra, D., & Singh, J. (2020) · Journal of Management Analytics · doi:10.1080/23270012.2020.1728403 · Cited by 61
Diversification as a Method of Ensuring the Sustainability of Energy Supply within the Energy Transition
Gitelman, L. D., KOZHEVNIKOV, M. V., & Visotskaya, Y. (2023) · Resources · doi:10.3390/resources12020019 · Cited by 67
Production and maintenance in industries: impact of industry 4.0
Kunju, F. K. F., Naveed, N., Anwar, M. N., & Haq, M. I. U. (2021) · Industrial Robot the international journal of robotics research and application · doi:10.1108/ir-09-2021-0211 · Cited by 59
Novel composite curing methods for sustainable manufacture: A review
Collinson, M., Bower, M. P., Swait, T. J., Atkins, C., Hayes, S. A., & Nuhiji, B. (2022) · Composites Part C Open Access · doi:10.1016/j.jcomc.2022.100293 · Cited by 59
Safety education 4.0 – A critical review and a response to the process industry 4.0 need in chemical engineering curriculum
Qian, Y., Vaddiraju, S., & Khan, F. I. (2023) · Safety Science · doi:10.1016/j.ssci.2023.106069 · Cited by 61
Industry 4.0: complex, disruptive, but inevitable
Kumar, S., Suhaib, M., & Asjad, M. (2020) · Management and Production Engineering Review · doi:10.24425/mper.2020.132942 · Cited by 59
Sustainable industry 4.0 – an exploratory study for uncovering the drivers for integration
Harikannan, N., Vinodh, S., & Gurumurthy, A. (2020) · Journal of Modelling in Management · doi:10.1108/jm2-11-2019-0269 · Cited by 59
Prepared for work in Industry 4.0? Modelling the target activity system and five dimensions of worker readiness
Blayone, T. J. B., & van Oostveen, R. (2020) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2020.1836677 · Cited by 63
Industry 4.0 and human factor: How is technology changing the role of the maintenance operator?
Gallo, T., & Santolamazza, A. (2021) · Procedia Computer Science · doi:10.1016/j.procs.2021.01.364 · Cited by 58
Sensors Data Analysis in Supervisory Control and Data Acquisition (SCADA) Systems to Foresee Failures with an Undetermined Origin
Maseda, F. J., López, I. G., Martija, I., Alkorta, P., Garrido, A. J., & Garrido, I. (2021) · Sensors · doi:10.3390/s21082762 · Cited by 58
Challenges for Agriculture through Industry 4.0
Bernhardt, H., Bozkurt, M., Brunsch, R., Colangelo, E., Herrmann, A. P., Horstmann, J., Kraft, M., Marquering, J., Steckel, T., Tapken, H., et al. (2021) · Agronomy · doi:10.3390/agronomy11101935 · Cited by 58
Overcoming the barriers of effective implementation of manufacturing execution system in pursuit of smart manufacturing in SMEs
Dutta, G., Kumar, R., Sindhwani, R., & Singh, R. K. (2022) · Procedia Computer Science · doi:10.1016/j.procs.2022.01.279 · Cited by 58
Industry 4.0 and circular economy for emerging markets: evidence from small and medium-sized enterprises (SMEs) in the Indian food sector
Despoudi, S., Sivarajah, U., Spanaki, K., Charles, V., & Durai, V. K. (2023) · Annals of Operations Research · doi:10.1007/s10479-023-05404-4 · Cited by 58
Assessing the level of digital maturity of enterprises in the Central and Eastern European countries using the MCDM and Shannon’s entropy methods
Brodny, J., & Tutak, M. (2021) · PLoS ONE · doi:10.1371/journal.pone.0253965 · Cited by 69
The Impact of Technological Innovation on Industry 4.0 Implementation and Sustainability: An Empirical Study on Malaysian Small and Medium Sized Enterprises
Jayashree, S., Reza, M. N. H., Malarvizhi, C. A., Maheswari, H., Hosseini, Z., & Kasım, A. (2021) · Sustainability · doi:10.3390/su131810115 · Cited by 56
Environment for Education on Industry 4.0
Fuertes, J. J., Prada, M. A., Ossorio, J. R. R., González-Herbón, R., Pérez, D., & Domínguez, M. (2021) · IEEE Access · doi:10.1109/access.2021.3120517 · Cited by 56
Condition Monitoring and Predictive Maintenance of Assets in Manufacturing Using LSTM-Autoencoders and Transformer Encoders
Bampoula, X., Nikolakis, N., & Alexopoulos, K. (2024) · Sensors · doi:10.3390/s24103215 · Cited by 61
Key performance indicator based dynamic decision-making framework for sustainable Industry 4.0 implementation risks evaluation: reference to the Indian manufacturing industries
Gadekar, R., Sarkar, B., & Gadekar, A. (2022) · Annals of Operations Research · doi:10.1007/s10479-022-04828-8 · Cited by 55
Boosting additive circular economy ecosystems using blockchain: An exploratory case study
Ferreira, I. A., Godina, R., Pinto, A., Pinto, P., & Carvalho, H. (2022) · Computers & Industrial Engineering · doi:10.1016/j.cie.2022.108916 · Cited by 55
Human-Centered Gamification Framework for Manufacturing Systems
Ulmer, J., Braun, S., Cheng, C., Dowey, S., & Wollert, J. F. (2020) · Procedia CIRP · doi:10.1016/j.procir.2020.04.076 · Cited by 55
Application of Industry 4.0 technologies for effective coordination in humanitarian supply chains: a strategic approach
Kumar, P., & Singh, R. K. (2021) · Annals of Operations Research · doi:10.1007/s10479-020-03898-w · Cited by 55
A FRAMEWORK FOR A LOGISTICS 4.0 MATURITY MODEL WITH A SPECIFICATION FOR INTERNAL LOGISTICS
Zoubek, M., & Simon, M. K. (2021) · MM Science Journal · doi:10.17973/mmsj.2021_03_2020073 · Cited by 54
The impact of Industry 4.0 on organizational performance: the case of Pakistan's retail industry
Ali, S., & Xie, Y. (2021) · European Journal of Management Studies · doi:10.1108/ejms-01-2021-0009 · Cited by 54
Investigating the Relationship between Industry 4.0 and Productivity: A Conceptual Framework for Malaysian Manufacturing Firms
Backhaus, S. K. H., & Nadarajah, D. (2019) · Procedia Computer Science · doi:10.1016/j.procs.2019.11.173 · Cited by 53
Total productive maintenance and Industry 4.0 in a sustainability context: exploring the mediating effect of circular economy
Samadhiya, A., Agrawal, R., Luthra, S., Anil Kumar, K., Garza-Reyes, J., & Srivastava, D. (2022) · International Journal of Logistics Management · doi:10.1108/ijlm-04-2022-0192 · Cited by 44
A Systematic Review of Industry 4.0 Technology on Workforce Employability and Skills: Driving Success Factors and Challenges in South Asia
Miah, M. T., Késmárki-Gally, S. E., Dancs, A., & Fekete‐Farkas, M. (2024) · Economies · doi:10.3390/economies12020035 · Cited by 53
The gamification as a tool to increase employee skills through interactives work instructions training
Pereira, M. S., de Oliveira, M. A., Vieira, A. F., Lima, R. M., & Paes, L. (2018) · Procedia Computer Science · doi:10.1016/j.procs.2018.10.084 · Cited by 53
Manufacturing quality assessment in the industry 4.0 era: a review
Markatos, N. G., & Mousavi, A. (2023) · Total Quality Management & Business Excellence · doi:10.1080/14783363.2023.2194524 · Cited by 52
Short review: Application Areas of Industry 4.0 Technologies in Food Processing Sector
Hasnan, N. Z. N., & Yusoff, Y. M. (2018) · IEEE Student Conference on Research and Development (SCOReD) · doi:10.1109/scored.2018.8711184 · Cited by 51
Model development for assessing inhibitors impacting Industry 4.0 implementation in Indian manufacturing industries: an integrated ISM-Fuzzy MICMAC approach
Gadekar, R., Sarkar, B., & Gadekar, A. (2022) · International Journal of Systems Assurance Engineering and Management · doi:10.1007/s13198-022-01691-5 · Cited by 56
An imperative role of 6G communication with perspective of industry 4.0: Challenges and research directions
Ghildiyal, Y., Singh, R., Alkhayyat, A. H., Gehlot, A., Malik, P. K., Sharma, R., Akram, S. V., & Alkwai, L. M. (2023) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2023.103047 · Cited by 51
Effect of Biomedical Materials in the Implementation of a Long and Healthy Life Policy
Dobrzański, L. A., Dobrzańska-Danikiewicz, A. D., & Dobrzański, L. B. (2021) · Processes · doi:10.3390/pr9050865 · Cited by 53
Simulation of Innovative Systems under Industry 4.0 Conditions
Shpak, N. O., Odrekhivskyі, M., Doroshkevych, K., & Sroka, W. (2019) · Social Sciences · doi:10.3390/socsci8070202 · Cited by 50
Millimeter-Wave Smart Antenna Solutions for URLLC in Industry 4.0 and Beyond
Jabbar, A., Abbasi, Q. H., Anjum, N., Kalsoom, T., Ramzan, N., Ahmed, S., Rafi-ul-Shan, P. M., Falade, O. P., Imran, M. A., & Rehman, M. U. (2022) · Sensors · doi:10.3390/s22072688 · Cited by 49
Deployment of Interpretive Structural Modeling in Barriers to Industry 4.0: A Case of Small and Medium Enterprises
Goel, P., Kumar, R., Banga, H. K., Kaur, S., Kumar, R., Pimenov, D. Y., & Giasin, K. (2022) · Journal of risk and financial management · doi:10.3390/jrfm15040171 · Cited by 49
Applying Industry 4.0 technologies for the sustainability of small service enterprises
Pandya, D., & Kumar, G. (2022) · Service Business · doi:10.1007/s11628-022-00507-7 · Cited by 55
Polymerization Photoinitiators with Near-Resonance Enhanced Two-Photon Absorption Cross-Section: Toward High-Resolution Photoresist with Improved Sensitivity
Arnoux, C., Konishi, T., Elslande, E. V., Poutougnigni, E. A., Mulatier, J., Khrouz, L., Bucher, C., Dumont, E. E., Kamada, K., Andraud, C., et al. (2020) · Macromolecules · doi:10.1021/acs.macromol.0c01518 · Cited by 49
Developing an industry 4.0 readiness model using fuzzy cognitive maps approach
Monshizadeh, F., Moghadam, M. R. S., Mansouri, T., & Kumar, M. (2022) · International Journal of Production Economics · doi:10.1016/j.ijpe.2022.108658 · Cited by 48
The role of industry 4.0‐enabled data‐driven shared platform as an enabler of product‐service system in the context of circular economy: A systematic literature review and future research directions
Atif, S. (2023) · Business Strategy & Development · doi:10.1002/bsd2.238 · Cited by 54
The role of artificial intelligence in corporate digital strategies: evidence from China
Yang, S., Hussain, M., Zahid, R. M. A., & Maqsood, U. S. (2024) · Kybernetes · doi:10.1108/k-08-2023-1583 · Cited by 48

Authors: Vaidya, S., Ambad, P., & Bhosle, S.
Corresponding author: Vaidya, Saurabh
ORCID: Bhosle, Santosh
Venue: Procedia Manufacturing
Publisher: Elsevier BV
Published: 2018
Volume: 20
Pages: 233-238
ISSN: 2351-9789 (ISSN-L)
DOI: 10.1016/j.promfg.2018.02.034
OpenAlex: W2791987562
Cited by: 1,352
References: 34
Citations by year: 2026: 69 · 2025: 140 · 2024: 159 · 2023: 188 · 2022: 233 · 2021: 260 · 2020: 188 · 2019: 83 · 2018: 32
FWCI: 116.61
Type: journal article
Language: en
Open access: diamond
doi.org
Licence: cc-by-nc-nd
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
creativecommons.org/licenses/by-nc-nd/4.0/ (vor, 33 d)
Locations: Procedia Manufacturing (publishedVersion, cc-by-nc-nd)
Topics: Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Flexible and Reconfigurable Manufacturing Systems
Keywords: Industry 4.0, digitalization of manufacturing, Internet of Things, Industrial Internet of Things, smart manufacturing, cloud manufacturing, value chain integration, waste reduction, implementation barriers, manufacturing trends

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

Industry 4.0 – A Glimpse

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks