Skip to main content

Advertisement

Log in

Industry 4.0 and its Implementation: a Review

  • Published:
Information Systems Frontiers Aims and scope Submit manuscript

Abstract

Triggered by the development of information and communications technologies, Industry 4.0 opens up a new era for the manufacturing industry.Currently, Industry 4.0 has attracted much attention from industry and academia. Research on Industry 4.0 is still evolving towards the development of frameworks linking Industry 4.0’s enabling technologies to specific goals and to their impact on the manufacturers’ businesses.Accordingly, this study presents a systematic review of the scope of Industry 4.0, its goals and implementations, as well as the barriers to the implementation of Industry 4.0. Solutions for overcoming the barriers and challenges are discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Abdirad, M., Krishnan, K., & Gupta, D. (2020). A two-stage metaheuristic algorithm for the dynamic vehicle routing problem in Industry 4.0 approach. Journal of Management Analytics, 8(1), 1–15.

    Google Scholar 

  • Abdul-Hamid, A. Q., Ali, M. H., Tseng, M. L., Lan, S., & Kumar, M. (2020). Impeding challenges on industry 4.0 in circular economy: Palm oil industry in Malaysia. Computers & Operations Research. 117(5), 105052. 1–31.

  • Aceto, G., Persico, V., & Pescapé, A. (2020). Industry 4.0 and health: Internet of things, big data, and cloud computing for healthcare 4.0. Journal of Industrial Information Integration, 18(19), 100129.1–17.

    Article  Google Scholar 

  • Ahmed, M. B., Majeed, F., Sanin, C., & Szczerbicki, E. (2021). Experience-based product inspection planning for industry 4.0. Cybernetics and Systems 21(1), 1–13.

  • Albers, A., Gladysz, B., Pinner, T., Butenko, V., & Stürmlinger, T. (2016). Procedure for defining the system of objectives in the initial phase of an industry 4.0 project focusing on intelligent quality control systems. Procedia Cirp, 52(1), 262–267.

    Article  Google Scholar 

  • Amjad, M. S., Rafique, M. Z., Hussain, S., & Khan, M. A. (2020). A new vision of LARG Manufacturing—A trail towards Industry 4.0. CIRP Journal of Manufacturing Science and Technology 33(2), 1–17.

  • Ardito, L., Petruzzelli, A. M., Panniello, U., & Garavelli, A. C. (2019). Towards Industry 4.0: Mapping digital technologies for supply chain management-marketing integration. Business Process Management Journal 25(2), 323-–346.

  • Azeem, M., Haleem, A., & Javaid, M. (2021). Symbiotic relationship between machine learning and Industry 4.0: A review. Journal of Industrial Integration and Management, 23(3), 2130002.1–16

  • Bag, S., Gupta, S., & Kumar, S. (2021). Industry 4.0 adoption and 10R advance manufacturing capabilities for sustainable development. International Journal of Production Economics, 231(2021), 107844.1–16.

    Google Scholar 

  • Bag, S., Yadav, G., Wood, L. C., Dhamija, P., & Joshi, S. (2020). Industry 4.0 and the circular economy: resource melioration in logistics. Resources Policy, 68(2020), 101776.1–16.

    Google Scholar 

  • Balderas, D., Ortiz, A., Méndez, E., Ponce, P., & Molina, A. (2021). Empowering Digital Twin for Industry 4.0 using metaheuristic optimization algorithms: case study PCB drilling optimization. The International Journal of Advanced Manufacturing Technology 2(2021), 1–12.

  • Borghetti, M., Cantù, E., Sardini, E., & Serpelloni, M. (2020). Future sensors for smart objects by printing technologies in industry 4.0 scenario. Energies, 13(22), 5916.1–17.

    Article  Google Scholar 

  • Borregan-Alvarado, J., Alvarez-Meaza, I., Cilleruelo-Carrasco, E., & Garechana-Anacabe, G. (2020). A bibliometric analysis in industry 4.0 and advanced manufacturing: what about the sustainable supply chain? Sustainability, 12(19), 7840.1–16.

    Article  Google Scholar 

  • Bortolini, M., Faccio, M., Galizia, F. G., Gamberi, M., & Pilati, F. (2021). Adaptive automation assembly systems in the industry 4.0 era: a reference framework and full–scale prototype. Applied Sciences, 11(3), 1256.1–18.

    Article  Google Scholar 

  • Branger, J., & Pang, Z. (2015). From automated home to sustainable, healthy and manufacturing home: a new story enabled by the Internet-of-Things and Industry 4.0. Journal of Management Analytics, 2(4), 314–332.

    Article  Google Scholar 

  • Brettel, M., Friederichsen, N., Keller, M., & Rosenberg, N. (2014). How virtualization, decentralization and network building change the manufacturing landscape: an industry 4.0 perspective. International Journal of Mechanical, Aerospace, Industrial and Mechatronics Engineering, 8(1), 37–44.

  • Brettel, M., Friederichsen, N., Keller, M., & Rosenberg, M. (2017). How virtualization, decentralization and network building change the manufacturing landscape: an industry 4.0 perspective. FormaMente, 10(6), 1–12.

  • Cai, H., Xu, L., Xu, B., Xie, C., Qin, S., & Jiang, L. (2014). IoT-based configurable information service platform for product lifecycle management. IEEE Transactions on Industrial Informatics, 10(2), 1558–1567.

    Article  Google Scholar 

  • Caiado, R. G. G., Scavarda, L. F., Gavião, L. O., Ivson, P., de Mattos Nascimento, D. L., & Garza-Reyes, J. A. (2021). A fuzzy rule-based industry 4.0 maturity model for operations and supply chain management. International Journal of Production Economics, 231(2020), 107883.1–19.

    Google Scholar 

  • Chen, C. L. (2020). Cross-disciplinary innovations by Taiwanese manufacturing SMEs in the context of Industry 4.0. Journal of Manufacturing Technology Management 2(2020), 1–24.

  • Chen, H. (2017). Theoretical foundations for cyber-physical systems: a literature review. Journal of Industrial Integration and Management, 2(3), 1750013.1–18.

    Google Scholar 

  • Chen, H., & Lei, J. (2020a). Scientists’ entrepreneurial cognitive model for science-based firms: a case study based on grounded theory approach. Journal of Industrial Integration and Management 3(2020), 1–31.

  • Chen, H., & Lei, J. (2020b). Research and development of “Science-Based Entreprenenurial Firms” and industrial transformation mechanism: case study approach. Journal of Industrial Integration and Management 3(2020), 1–23.

  • Chen, H., Li, L., & Chen, Y. (2021). Explore success factors that impact artificial intelligence adoption on telecom industry in China. Journal of Management Analytics, 8(1), 36–68.

    Article  Google Scholar 

  • Chen, Y. (2016). Industrial information integration—A literature review 2006–2015. Journal of Industrial Information Integration, 2(2016), 30–64.

    Article  Google Scholar 

  • Choudhary, V., & Mishra, A. (2021). Analyzing the critical success enablers of industry 4.0 using hybrid fuzzy AHP–CoCoSo method. Journal of Industrial Integration and Management 2(2021), 2150018.1–21.

  • Cucculelli, M., Dileo, I., & Pini, M. (2021). Filling the void of family leadership: institutional support to business model changes in the Italian Industry 4.0 experience. The Journal of Technology Transfer 2(2021), 1–29.

  • Culot, G., Orzes, G., Sartor, M., & Nassimbeni, G. (2020). The future of manufacturing: A Delphi-based scenario analysis on Industry 4.0. Technological Forecasting and Social Change, 157(2020), 120092.1–19.

  • de la Peña Zarzuelo, I., Soeane, M. J. F., & Bermúdez, B. L. (2020). Industry 4.0 in the port and maritime industry: A literature review. Journal of Industrial Information Integration, 20(2020), 100173.1–21.

  • de Sousa Jabbour, A. B. L., Jabbour, C. J. C., Filho, G. M., &Roubaud, D. (2018). Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations. Annals of Operations Research, 270(1–2), 273–286.

    Google Scholar 

  • Di Carlo, F., Mazzuto, G., Bevilacqua, M., & Ciarapica, F. E. (2021). Retrofitting a process plant in an industry 4.0 perspective for improving safety and maintenance performance. Sustainability, 13(2), 646.1–16.

    Article  Google Scholar 

  • Dos Santos, L. M. A. L., da Costa, M. B., Kothe, J. V., Benitez, G. B., Schaefer, J. L., Baierle, I. C., & Nara, E. O. B. (2020). Industry 4.0 collaborative networks for industrial performance. Journal of Manufacturing Technology Management, 9(2020), 1–21.

  • Dragicevic, N., Ullrich, A., Tsui, E., & Gronau, N. (2019). A conceptual model of knowledge dynamics in the industry 4.0 smart grid scenario. Knowledge Management Research & Practice, 1(2019), 1–15.

  • Echchakoui, S., & Barka, N. (2020). Industry 4.0 and its impact in plastics industry: A literature review. Journal of Industrial Information Integration, 20(2020), 100172.1–14.

  • Enyoghasi, C., & Badurdeen, F. (2021). Industry 4.0 for sustainable manufacturing: Opportunities at the product, process, and system levels (166, p. 105362). Resources, Conservation and Recycling, 166(2021), 105362.1–17.

  • Fakhri, A. B., Mohammed, S. L., Khan, I., Sadiq, A. S., Alkazemi, B., Pillai, P., & Choi, B. J. (2020). Industry 4.0: Architecture and equipment revolution. Computers, Materials and Continua, 66.2021(2020), 1175–1194.

  • Fathi, M., & Ghobakhloo, M. (2020). Enabling mass customization and manufacturing sustainability in industry 4.0 context: a novel heuristic algorithm for in-plant material supply optimization. Sustainability, 12(16), 6669.1–15.

    Article  Google Scholar 

  • Fatimah, Y. A., Govindan, K., Murniningsih, R., & Setiawan, A. (2020). Industry 4.0 based sustainable circular economy approach for smart waste management system to achieve sustainable development goals: A case study of Indonesia. Journal of Cleaner Production, 269(2020), 122263.1–38.

    Google Scholar 

  • Florescu, A., & Barabas, S. A. (2020). Modeling and simulation of a flexible manufacturing system—a basic component of industry 4.0. Applied Sciences, 10(22), 8300.1–20.

  • Frankó, A., Vida, G., & Varga, P. (2020). Reliable identification schemes for asset and production tracking in industry 4.0. Sensors (Basel, Switzerland), 20(13), 3709.1–24.

    Article  Google Scholar 

  • Frazzon, E. M., Hartmann, J., Makuschewitz, T., & Scholz-Reiter, B. (2013). Towards socio-cyber-physical systems in production networks. Procedia Cirp, 7(2013), 49–54.

    Article  Google Scholar 

  • Ge, J., Wang, F., Sun, H., Fu, L., & Sun, M. (2020). Research on the maturity of big data management capability of intelligent manufacturing enterprise. Systems Research and Behavioral Science, 37(4), 646–662.

    Article  Google Scholar 

  • Ghadge, A., Kara, M. E., Moradlou, H., & Goswami, M. (2020). The impact of Industry 4.0 implementation on supply chains. Journal of Manufacturing Technology Management, 31(4), 669–686.

  • Ghobakhloo, M., & Ching, N. T. (2019). Adoption of digital technologies of smart manufacturing in SMEs. Journal of Industrial Information Integration, 16(2019), 100107.1–20.

    Google Scholar 

  • Ghosh, D., Sant, T. G., Kuiti, M. R., Swami, S., & Shankar, R. (2020). Strategic decisions, competition and cost-sharing contract under industry 4.0 and environmental considerations. Resources, Conservation and Recycling, 162(2020), 105057.1–24.

  • Glogovac, M., Ruso, J., & Maricic, M. (2020). ISO 9004 maturity model for quality in industry 4.0 (pp. 1–19). Total Quality Management & Business Excellence. 11(2020), 1–19.

  • Gogolák, L., & Fürstner, I. (2021). Wireless sensor network aided assembly line monitoring according to expectations of industry 4.0. Applied Sciences, 11(1), 1–25.

    Google Scholar 

  • Gunasekaran, A., Subramanian, N., & Ngai, W. T. E. (2019). Quality management in the 21st century enterprises: Research pathway towards Industry 4.0. International Journal of Production Economics 207(2019), 125–129.

  • Guo, D., Li, M., Zhong, R., & Huang, G. Q. (2020). Graduation Intelligent Manufacturing System (GiMS): an Industry 4.0 paradigm for production and operations management. Industrial Management & Data Systems, 9(2020), 1–13.

  • Gürdür, D., El-Khoury, J., Seceleanu, T., & Lednicki, L. (2016). Making interoperability visible: Data visualization of cyber-physical systems development tool chains. Journal of industrial information integration, 4(2016), 26–34.

    Article  Google Scholar 

  • Haleem, A., & Javaid, M. (2019). Additive manufacturing applications in industry 4.0: a review. Journal of Industrial Integration and Management, 4(04), 1930001.1–27.

    Article  Google Scholar 

  • Haque, M. E., & Baroudi, U. (2021). Ambient self-powered cluster-based wireless sensor networks for industry 4.0 applications. Soft Computing, 25(3), 1859–1884.

    Article  Google Scholar 

  • Harikannan, N., Vinodh, S., & Gurumurthy, A. (2020). Sustainable industry 4.0–an exploratory study for uncovering the drivers for integration. Journal of Modelling in Management, 6(2020), 1-20.

  • Harrison, R., Vera, D., & Ahmad, B. (2016). Engineering methods and tools for cyber–physical automation systems. Proceedings of the IEEE, 104(5), 973–985.

  • Hernandez-de-Menendez, M., Morales-Menendez, R., Escobar, C. A., & McGovern, M. (2020). Competencies for Industry 4.0. International Journal on Interactive Design and Manufacturing (IJIDeM), 14(4), 1511–1524.

    Article  Google Scholar 

  • Hu, H., Jia, X., He, Q., Fu, S., & Liu, K. (2020). Deep reinforcement learning based AGVs real-time scheduling with mixed rule for flexible shop floor in industry 4.0. Computers & Industrial Engineering, 149(2020), 106749.1–23.

    Google Scholar 

  • Huo, J., Zhang, J., & Chan, F. T. (2020). A fuzzy control system for assembly line balancing with a three-state degradation process in the era of Industry 4.0. International Journal of Production Research, 58(23), 7112–7129.

    Article  Google Scholar 

  • Ivanov, D., Dolgui, A., Sokolov, B., Werner, F., & Ivanova, M. (2016). A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0. International Journal of Production Research, 54(2), 386–402.

    Article  Google Scholar 

  • Jain, V., & Ajmera, P. (2020). Modelling the enablers of industry 4.0 in the Indian manufacturing industry. International Journal of Productivity and Performance Management, .6(2020), 1-30.

  • Javaid, M., Haleem, A., Singh, R. P., & Suman, R. (2021). Significant applications of big data in Industry 4.0. Journal of Industrial Integration and Management, 1(2021), 1–19.

  • Kaya, İ, Erdoğan, M., Karaşan, A., & Özkan, B. (2020). Creating a road map for industry 4.0 by using an integrated fuzzy multicriteria decision-making methodology. Soft Computing, 24(2020), 17931–17956.

    Article  Google Scholar 

  • Kayikci, Y., Subramanian, N., Dora, M., & Bhatia, M. S. (2020). Food supply chain in the era of Industry 4.0: blockchain technology implementation opportunities and impediments from the perspective of people, process, performance, and technology (pp. 1–21). Production Planning & Control, 5(2020),1–221.

  • Khan, I. H., & Javaid, M. (2021). Role of Internet of Things (IoT) in adoption of Industry 4.0. Journal of Industrial Integration and Management, 1(2021), 2150006.1-20.

  • Kim, J. H. (2017). A review of cyber-physical system research relevant to the emerging IT trends: industry 4.0, IoT, big data, and cloud computing. Journal of industrial integration and management, 2(3), 1750011.1-22.

  • King, G. S., Rameshwar, J. R., & Syan, C. S. (2020). Industry 4.0 in a small commodity-based economy: a vehicle for stimulating innovation. Journal of Industrial Integration and Management, 5(03), 365–391.

    Article  Google Scholar 

  • Kiraz, A., Canpolat, O., Özkurt, C., & Taşkın, H. (2020). Analysis of the factors affecting the Industry 4.0 tendency with the structural equation model and an application. Computers & Industrial Engineering, 150(2020), 106911.1–46.

    Google Scholar 

  • Ko, M. D. (2020). An intelligent, empty container dispatching system model using fuzzy set theory and genetic algorithm in the context of industry 4.0. Enterprise Information Systems, 9(2020), 1–24.

  • Kumar, P., & Singh, R. K. (2021). Application of Industry 4.0 technologies for effective coordination in humanitarian supply chains: a strategic approach (pp. 1–33). Annals of Operations Research. 2(2021), 1-33.

  • Kumar, P., Singh, R. K., & Kumar, V. (2021). Managing supply chains for sustainable operations in the era of industry 4.0 and circular economy: Analysis of barriers. Resources, Conservation and Recycling, 164(2021), 105215.1–12.

    Google Scholar 

  • Kumar, S., Suhaib, M., & Asjad, M. (2020). Narrowing the barriers to Industry 4.0 practices through PCA-Fuzzy AHP-K means. Journal of Advances in Management Research, 8(2020), 1–27.

  • Kumar, V., Vrat, P., & Shankar, R. (2021b). Prioritization of strategies to overcome the barriers in Industry 4.0: a hybrid MCDM approach. Opsearch, 1(2021), 1–40.

  • Lasi, H., Fettke, P., Kemper, H. G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & Information Systems Engineering, 6(4), 239–242.

  • Leong, W. D., Teng, S. Y., How, B. S., Ngan, S. L., Abd Rahman, A., Tan, C. P., et al. (2020). Enhancing the adaptability: Lean and green strategy towards the Industry Revolution 4.0. Journal of Cleaner Production, 273(2020), 122870.1–38.

    Google Scholar 

  • Lepore, D., Dubbini, S., Micozzi, A., & Spigarelli, F. (2021). Knowledge sharing opportunities for industry 4.0 firms. Journal of the Knowledge Economy, 3(2021), 1–20.

  • Li, L. (2018). China’s manufacturing locus in 2025: with a comparison of “Made-in-China 2025” and “Industry 4.0.” Technological Forecasting and Social Change, 135(2018), 66–74.

  • Li, L. (2020). Education supply chain in the era of Industry 4.0. Systems Research and Behavioral Science, 37(4), 579–592.

    Article  Google Scholar 

  • Li, X., & Xu, L. (2020). A review of Internet of Things—resource allocation. IEEE Internet of Things Journal. Digital Object Identifier. https://doi.org/10.1109/JIOT.2020.3035542.

    Article  Google Scholar 

  • Li, Y., Dai, J., & Cui, L. (2020). The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model. International Journal of Production Economics, 229(2020), 107777.1–63.

    Google Scholar 

  • Lin, B., Wu, W., & Song, M. (2019). Industry 4.0: driving factors and impacts on firm’s performance: an empirical study on China’s manufacturing industry (pp. 1–21). Research, 11(2019),1-21.(2019), 1-21.

  • Lola, I. S., & Bakeev, M. (2020). Pilot study of Industry 4.0 and digital technology prevalence in Russian manufacturing companies. Management and Production Engineering Review, 11(2020), 1-18.

  • Lu, Y. (2017). Cyber physical system (CPS)-based industry 4.0: A survey. Journal of Industrial Integration and Management, 2(03), 1750014.1–57.

    Article  Google Scholar 

  • Lu, Y. (2017). Industry 4.0: A survey on technologies, applications and open research issues. Journal of industrial information integration, 6(2017), 1–10.

    Article  Google Scholar 

  • Lucas-Estañ, M. C., Coll-Perales, B., & Gozalvez, J. (2020). Redundancy and diversity in wireless networks to support mobile industrial applications in industry 4.0. IEEE Transactions on Industrial Informatics, 17(1), 311–320.

    Article  Google Scholar 

  • Luthra, S., & Mangla, S. K. (2018). Evaluating challenges to Industry 4.0 initiatives for supply chain sustainability in emerging economies. Process Safety and Environmental Protection, 117(2018), 168–179.

    Article  Google Scholar 

  • Mabkhot, M. M., Al-Ahmari, A. M., Salah, B., & Alkhalefah, H. (2018). Requirements of the smart factory system: A survey and perspective. Machines, 6(2), 23.1–22.

    Article  Google Scholar 

  • Mastos, T. D., Nizamis, A., Vafeiadis, T., Alexopoulos, N., Ntinas, C., Gkortzis, D., et al. (2020). Industry 4.0 sustainable supply chains: An application of an IoT enabled scrap metal management solution. Journal of Cleaner Production, 269(2020), 122377.1–33.

    Google Scholar 

  • Matana, G., Simon, A., Godinho Filho, M., & Helleno, A. (2020). Method to assess the adherence of internal logistics equipment to the concept of CPS for industry 4.0. International Journal of Production Economics, 228(2020), 107845.1–17.

    Google Scholar 

  • Mian, S. H., Salah, B., Ameen, W., Moiduddin, K., & Alkhalefah, H. (2020). Adapting universities for sustainability education in industry 4.0: channel of challenges and opportunities. Sustainability, 12(15), 6100.1–31.

    Article  Google Scholar 

  • Michna, A., & Kmieciak, R. (2020). Open-mindedness culture, knowledge-sharing, financial performance, and industry 4.0 in SMEs. Sustainability, 12(21), 9041.1–15.

    Article  Google Scholar 

  • Mitra, A. (2021). On the capabilities of Cellular Automata-based MapReduce model in Industry 4.0. Journal of Industrial Information Integration, 21(2021), 100195.1–26.

    Google Scholar 

  • Mosteiro-Sanchez, A., Barcelo, M., Astorga, J., & Urbieta, A. (2020). Securing IIoT using defence-in-depth: towards an end-to-end secure industry 4.0. Journal of Manufacturing Systems, 57(2020), 367–378.

    Article  Google Scholar 

  • Mubarak, M. F., & Petraite, M. (2020). Industry 4.0 technologies, digital trust and technological orientation: What matters in open innovation? Technological Forecasting and Social Change, 161, 120332.

    Article  Google Scholar 

  • Müller, J. M., Veile, J. W., & Voigt, K. I. (2020). Prerequisites and incentives for digital information sharing in Industry 4.0–An international comparison across data types. Computers & Industrial Engineering, 148(2020), 106733.1–49.

    Google Scholar 

  • Naglič, A., Tominc, P., & Logožar, K. (2020). The impact of industry 4.0 on export market orientation, market diversification, and export performance. Organizacija, 53(3), 227–244.

  • Narwane, V. S., Raut, R. D., Yadav, V. S., & Singh, A. R. (2020). Barriers in sustainable industry 4.0: a case study of the footwear industry. International Journal of Sustainable Engineering, 10(2020), 1–15.

  • Nguyen Duc, D., Huu, T., & Nananukul, N. (2020). A dynamic route-planning system based on industry 4.0 technology. Algorithms, 13(12), 308.1–17.

    Article  Google Scholar 

  • Nordal, H., & El-Thalji, I. (2021). Modeling a predictive maintenance management architecture to meet industry 4.0 requirements: A case study. Systems Engineering, 24(1), 34–50.

    Article  Google Scholar 

  • Pang, T. Y., Restrepo, P., Cheng, J. D., Yasin, C. T., Lim, A. H., & Miletic, M. (2021). Developing a digital twin and digital thread framework for an ‘Industry 4.0’Shipyard. Applied Sciences, 11(3), 1097.1–33.

    Article  Google Scholar 

  • Pech, M., & Vrchota, J. (2020). Classification of small-and medium-sized enterprises based on the level of industry 4.0 implementation. Applied Sciences, 10(15), 5150.1–22.

    Article  Google Scholar 

  • Pokhrel, S. R., & Garg, S. (2020). Multipath communication with deep Q-Network for industry 4.0 automation and orchestration. IEEE Transactions on Industrial Informatics, .7(2020), 1–8.

  • Polge, J., Robert, J., & Le Traon, Y. (2020). A case driven study of the use of time series classification for flexibility in industry 4.0. Sensors (Basel, Switzerland), 20(24), 7273.1–22.

    Article  Google Scholar 

  • Portna, O. V., Iershova, N. Y., Tereshchenko, D. A., & Kryvytska, O. R. (2021). Economic business partnerships within industry 4.0: new technologies in management. ELIT–Economic Laboratory for Transition Research Dz. Washingtona, 4/5(1), 151–163.

    Google Scholar 

  • Posada, J., Toro, C., Barandiaran, I., Oyarzun, D., Stricker, D., De Amicis, R., Pinto, E. B., Eisert, P., Döllner, J., & Vallarino, I. (2015). Visual computing as a key enabling technology for industrie 4.0 and industrial internet. IEEE Computer Graphics and Applications, 35(2), 26–40.

    Article  Google Scholar 

  • Qu, Y., Pokhrel, S. R., Garg, S., Gao, L., & Xiang, Y. (2020). A blockchained federated learning framework for cognitive computing in industry 4.0 networks. IEEE Transactions on Industrial Informatics, 99(2020), 1-10.

  • Rahman, A., Sara, U., Kundu, D., Islam, S., Islam, M., Hasan, M., Rahman, Z., & Nasir, M. K. (2020). Distb-sdoindustry: Enhancing security in industry 4.0 services based on distributed blockchain through software defined networking-iot enabled architecture. International Journal of Advanced Computer Science and Applications, 11(2020), 9.1-29.

  • Raj, A., Dwivedi, G., Sharma, A., de Sousa Jabbour, A. B. L., & Rajak, S. (2020). Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective. International Journal of Production Economics, 224(2020), 107546.1–50.

    Google Scholar 

  • Rajput, S., & Singh, S. P. (2020). Industry 4.0 model for circular economy and cleaner production. Journal of Cleaner Production, 277(2020), 123853.1–21.

    Google Scholar 

  • Rao, M., Lynch, L., Coady, J., Toal, D., & Newe, T. (2020). Integration of an MES and AIV using a LabVIEW middleware scheduler suitable for use in industry 4.0 applications. Applied Sciences, 10(20), 7054.1–25.

    Article  Google Scholar 

  • Rao, S. K., & Prasad, R. (2018). Impact of 5G technologies on industry 4.0. Wireless Personal Communications, 100(1), 145–159.

    Article  Google Scholar 

  • Reinhardt, I. C., Oliveira, J. C., & Ring, D. T. (2020). Current perspectives on the development of Industry 4.0 in the pharmaceutical sector. Journal of Industrial Information Integration, 18, 100131.

    Article  Google Scholar 

  • Roblek, V., Meško, M., & Krapež, A. (2016). A complex view of industry 4.0. Sage Open, 6(2), 1–11.

    Article  Google Scholar 

  • Rolle, R. P., de Oliveira Martucci, V., & Godoy, E. P. (2020). Architecture for Digital Twin implementation focusing on Industry 4.0. IEEE Latin America Transactions, 18(05), 889–898.

    Article  Google Scholar 

  • Rossit, D., Toncovich, A., & Nesmachnow, S. (2021). Solving a flow shop scheduling problem with missing operations in an Industry 4.0 production environment. Journal of Project Management, 6(1), 33–44.

    Article  Google Scholar 

  • Sanchez, M., Exposito, E., & Aguilar, J. (2020a). Industry 4.0: survey from a system integration perspective. International Journal of Computer Integrated Manufacturing, 33(10–11), 1017–1041.

    Article  Google Scholar 

  • Sanchez, M., Exposito, E., & Aguilar, J. (2020). Autonomic computing in manufacturing process coordination in industry 4.0 context. Journal of Industrial Information Integration, 19(2020), 100159.1–16.

    Google Scholar 

  • Sanchez, M., Exposito, E., & Aguilar, J. (2020). Implementing self-* autonomic properties in self-coordinated manufacturing processes for the Industry 4.0 context. Computers in Industry, 121(2020), 103247.1–17.

    Google Scholar 

  • Sanders, A., Elangeswaran, C., & Wulfsberg, J. (2016). Industry 4.0 implies lean manufacturing: research activities in industry 4.0 function as enablers for lean manufacturing. Journal of Industrial Engineering and Management (JIEM), 9(3), 811–833.

    Article  Google Scholar 

  • Santos, C. H. D., de Queiroz, J. A., Leal, F., & Montevechi, J. A. B. (2020). Use of simulation in the industry 4.0 context: Creation of a Digital Twin to optimise decision making on non-automated process. Journal of Simulation, 9(2020), 1–14.

  • Sengupta, J., Ruj, S., & Bit, S. D. (2020). A secure fog-based architecture for industrial internet of things and industry 4.0. IEEE Transactions on Industrial Informatics, 17(4), 2316–2324.

    Article  Google Scholar 

  • Sharma, M., Kamble, S., Mani, V., Sehrawat, R., Belhadi, A., & Sharma, V. (2020). Industry 4.0 adoption for sustainability in multi-tier manufacturing supply chain in emerging economies. Journal of Cleaner Production, 11(2020), 125013.1-54.

  • Sun, Y., Li, L., Shi, H., & Chong, D. (2020). The transformation and upgrade of China’s manufacturing industry in Industry 4.0 era. Systems Research and Behavioral Science, 37(4), 734–740.

    Article  Google Scholar 

  • Tortorella, G., Miorando, R., Caiado, R., Nascimento, D., & PortioliStaudacher, A. (2021). The mediating effect of employees’ involvement on the relationship between Industry 4.0 and operational performance improvement. Total Quality Management & Business Excellence, 32(1–2), 119–133.

    Article  Google Scholar 

  • van Geest, M., Tekinerdogan, B., & Catal, C. (2020). Design of a reference architecture for developing smart warehouses in industry 4.0. Computers in Industry, 124(2020), 103343.1–10.

    Google Scholar 

  • Veile, J. W., Kiel, D., Müller, J. M., & Voigt, K. I. (2019). Lessons learned from Industry 4.0 implementation in the German manufacturing industry. Journal of Manufacturing Technology Management, 7(2019), 1–21.

  • Veile, J. W., Schmidt, M. C., Müller, J. M., & Voigt, K. I. (2020). Relationship follows technology! How Industry 4.0 reshapes future buyer-supplier relationships. Journal of Manufacturing Technology Management, 7(2020), 1–22.

  • Villasante, C., Mabe, J., Les-Aguerrea, I., Pena, A., Sanchez, M., & Lopez, S. (2020). y SMARTCSP: Industry 4.0 approach for an effective concentrated solar power (CSP) cost reduction. DYNA, 95(6), 629–634.

    Article  Google Scholar 

  • Viriyasitavat, W., Xu, L., Bi, Z., & Sapsomboon, A. (2020). Blockchain-based business process management (BPM) framework for service composition in industry 4.0. Journal of Intelligent Manufacturing, 31(7), 1737–1748.

    Article  Google Scholar 

  • Vogel-Heuser, B., & Hess, D. (2016). Guest editorial Industry 4.0–prerequisites and visions. IEEE Transactions on Automation Science and Engineering, 13(2), 411–413.

    Article  Google Scholar 

  • Vogel-Heuser, B., & Jumar, U. (2019). Scientific fundamentals of Industry 4.0. at-Automatisierungstechnik, 67(6), 502–503.

  • Vrchota, J., Řehoř, P., Maříková, M., & Pech, M. (2021). Critical success factors of the project management in relation to industry 4.0 for sustainability of projects. Sustainability, 13(1), 281.

    Article  Google Scholar 

  • VuksanovićHerceg, I., Kuč, V., Mijušković, V. M., & Herceg, T. (2020). Challenges and driving forces for industry 4.0 implementation. Sustainability, 12(10), 4208.

    Article  Google Scholar 

  • Wang, S., Ouyang, J., Li, D., & Liu, C. (2017). An integrated industrial ethernet solution for the implementation of smart factory. IEEE Access: Practical Innovations, Open Solutions, 5(2017), 25455–25462.

    Article  Google Scholar 

  • Wang, S., Wan, J., Zhang, D., Li, D., & Zhang, C. (2016). Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination. Computer Networks, 101(2016), 158–168.

    Article  Google Scholar 

  • Wipulanusat, W., Panuwatwanich, K., Stewart, R. A., Arnold, S. L., & Wang, J. (2020). Bayesian network revealing pathways to workplace innovation and career satisfaction in the public service. Journal of Management Analytics, 7(2), 253–280.

    Article  Google Scholar 

  • Xie, Y., Yin, Y., Xue, W., Shi, H., & Chong, D. (2020). Intelligent supply chain performance measurement in Industry 4.0. Systems Research and Behavioral Science, 37(4), 711–718.

    Article  Google Scholar 

  • Xu, L. (2020a). Industry 4.0—Frontiers of fourth industrial revolution. Systems Research and Behavioral Science, 37(4), 531–534.

    Article  Google Scholar 

  • Xu, L. (2020b). The contribution of systems science to Industry 4.0. Systems Research and Behavioral Science, 37(4), 618–631.

    Article  Google Scholar 

  • Xu, L. (2020). Industrial information integration – An emerging subject in industrialization and informatization process. Journal of Industrial Information Integration, 17(2020), 100128.1–4.

    Google Scholar 

  • Xu, L., & Duan, L. (2019). Big data for cyber physical systems in industry 4.0: a survey. Enterprise Information Systems, 13(2), 148–169.

    Article  Google Scholar 

  • Xu, L., Lu, Y., & Li, L. (2021). Embedding blockchain technology into IoT for security: a survey. IEEE Internet of Things Journal. https://doi.org/10.1109/JIOT.2021.3060508.

    Article  Google Scholar 

  • Xu, L., Xu, E. L., & Li, L. (2018). Industry 4.0: state of the art and future trends. International Journal of Production Research, 56(8), 2941–2962.

    Article  Google Scholar 

  • Yang, S., Kaminski, M. R. A. R. J., & Pepin, H. (2018). Opportunities for industry 4.0 to support remanufacturing. Applied Sciences, 8(7), 1177.

    Article  Google Scholar 

  • Yli-Ojanperä, M., Sierla, S., Papakonstantinou, N., & Vyatkin, V. (2019). Adapting an agile manufacturing concept to the reference architecture model industry 4.0: A survey and case study. Journal of Industrial Information Integration, 15(2019), 147–160.

    Article  Google Scholar 

  • Zhang, C. (2019). Research on the fluctuation and factors of China TFP of IT industry. Journal of Industrial Integration and Management, 04(04), 1950013.1–19.

    Article  Google Scholar 

  • Zhang, C. (2020). Research on the economical influence of the difference of regional logistics developing level in China. Journal of Industrial Integration and Management, 05(02), 205–223.

    Article  Google Scholar 

  • Zhang, C., & Chen, Y. (2020). A review of research relevant to the emerging industry trends: Industry 4.0, IoT, blockchain, and business analytics. Journal of Industrial Integration and Management, 5(01), 165–180.

    Article  Google Scholar 

  • Zhang, C., & Chu, H. (2020) Preprocessing method of structured big data in human resource archives database. 2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI), Harbin, China, 379–384.

  • Zhang, C., & Fu, W. (2021). Optimal model for patrols of UAVs in power grid under time constraints. International Journal of Performability Engineering, 17(1), 103–113.

    Article  Google Scholar 

  • Zhang, C., Xu, X., & Chen, H. (2019). Theoretical foundations and applications of cyber-physical systems. Journal of Library Hi Tech, 38(1), 95–104.

    Article  Google Scholar 

Download references

Acknowledgements

Funding from China National Social Science (No.15BJY022), and funding from China University of Labor Relations (No.JG2106, No. ZYTS201806).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Caiming Zhang.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, C., Chen, Y., Chen, H. et al. Industry 4.0 and its Implementation: a Review. Inf Syst Front (2021). https://doi.org/10.1007/s10796-021-10153-5

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10796-021-10153-5

Keywords

Navigation