Exploring industry 4.0 technologies for sustainable development goals: a systematic literature review
Submitted: 2024-02-07
|Accepted: 2024-09-29
|Published: 2025-01-31
Copyright (c) 2025 Pramod Kumar, Jaiprakash Bhamu, Jagdish Bhadu, Praveen Saraswat

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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Keywords:
Industry 4.0, Smart manufacturing, Intelligent manufacturing, Flexibility, Productivity, Sustainability
Supporting agencies:
Abstract:
In recent years, Industry 4.0 (I4.0) has emerged as a most significant concept in global manufacturing. Empirical research in the field of I4.0 or Smart Manufacturing (SM) is dominating continuously with great emphasis on conceptual models and case studies. Literature reviews of I4.0 or SM are less portrayed as compared to other manufacturing theories. In the present study, a categorized review of the published literature on I4.0 and SM is lucubrated and precisely visualized. The study examines the research trends in Industry 4.0 (I4.0) from 2011 to 2022, focusing on various parameters like definitions, research methods, journals, and authors to support sustainable development. It analyzed 121 articles, categorizing them by enablers, barriers, and sustainability aspects of I4.0. China, the USA, India, and Germany lead in publishing on I4.0. While conceptual models dominate, there’s a growing focus on case studies and mathematical modeling. The study highlights challenges small industries face in adopting I4.0 due to resource constraints and emphasizes the need for government and expert support. It also shows that integrating Lean and Six Sigma with I4.0 can improve efficiency. However, the research lacks clarity on I4.0’s long-term impacts, and few studies explore non-manufacturing sectors. The study concludes by identifying opportunities for further research, particularly in mathematical modeling, supply chain management, and linking sustainability with I4.0 technologies.
References:
Ahuett-Garza, H., & Kurfess, T. (2018). A brief discussion on the trends of habilitating technologies for Industry 4.0 and Smart Manufacturing. Manufacturing Letters, 15(B), 60-63. https://doi.org/10.1016/j.mfglet.2018.02.011
Akdil, K. Y., Ustundag, A., & Cevikcan, E. (2018). Maturity and readiness model for Industry 4.0 strategy. In A. Ustundag & E. Cevikcan (Eds.), Industry 4.0: Managing the digital transformation (pp. 61-94). Springer. https://doi.org/10.1007/978-3-319-57870-5_461-94
Alcacer, V., & Cruz-Machado, V. (2019). Scanning the Industry 4.0: A literature review on technologies for manufacturing systems. Engineering Science and Technology, an International Journal, 22, 899-919. https://doi.org/10.1016/j.jestch.2019.01.006
Aravindaraj, K., & Chinna, P. R. (2022). A systematic literature review of integration of industry 4.0 and warehouse management to achieve Sustainable Development Goals (SDGs). Cleaner Logistics and Supply Chain, 100072. https://doi.org/10.1016/j.clscn.2022.100072
Bag, S., Telukdarie, A., Pretorius, J. H. C., & Gupta, S. (2018). Industry 4.0 and supply chain sustainability: Framework and future research directions. Benchmarking: An International Journal. https://doi.org/10.1108/BIJ-03-2018-0056
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, 107844. https://doi.org/10.1016/j.ijpe.2020.107844
Bodkhe, U., Tanwar, S., Parekh, K., Khanpara, P., Tyagi, S., Kumar, N., & Alazab, M. (2020). Blockchain for Industry 4.0: A comprehensive review. IEEE Access, 8, 79764-79800. https://doi.org/10.1109/ACCESS.2020.2988579
Bonilla, S. H., Silva, H. R. O., da Silva, M. T., Goncalves, R. F., & Sacomano, J. B. (2018). Industry 4.0 and sustainability implications: A scenario-based analysis of the impacts and challenges. Sustainability, 10, 3740. https://doi.org/10.3390/su10103740
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. https://doi.org/10.1080/23270012.2015.1115379
Buer, S. V., Strandhagen, J. O., & Chan, F. T. S. (2018). The link between Industry 4.0 and lean manufacturing: Mapping current research and establishing a research agenda. International Journal of Production Research, 56(8), 2924-2940. https://doi.org/10.1080/00207543.2018.1442945
Cheng, J., Chen, W., Tao, F., & Lin, C. L. (2018). Industrial IoT in 5G environment towards smart manufacturing. Journal of Industrial Information Integration, 10, 10-19. https://doi.org/10.1016/j.jii.2018.04.001
Cheng, Y., Zhang, Y., Ji, P., Xu, W., Zhou, Z., & Tao, F. (2018). Cyber-physical integration for moving digital factories forward towards smart manufacturing: A survey. The International Journal of Advanced Manufacturing Technology, 97(1-4), 1209-1221. https://doi.org/10.1007/s00170-018-2001-2
Ching, N. T., Ghobakhloo, M., Iranmanesh, M., Maroufkhani, P., & Asadi, S. (2022). Industry 4.0 applications for sustainable manufacturing: A systematic literature review and a roadmap to sustainable development. Journal of Cleaner Production, 334, 130133. https://doi.org/10.1016/j.jclepro.2021.130133
Dantas, T. E. T., de-Souza, E. D., Destro, I. R., Hammes, G., Rodriguez, C. M. T., & Soares, S. R. (2021). How the combination of circular economy and Industry 4.0 can contribute towards achieving the Sustainable Development Goals. Sustainable Production and Consumption, 26, 213-227. https://doi.org/10.1016/j.spc.2020.10.005
Davis, J., Edgar, T., Porter, J., Bernaden, J., & Sarli, M. (2012). Smart manufacturing, manufacturing intelligence and demand-dynamic performance. Computers and Chemical Engineering, 47, 145-156. https://doi.org/10.1016/j.compchemeng.2012.06.037
De Sousa Jabbour, A. B. L., Jabbour, C. J. C., Foropon, C., & Filho, M. G. (2018). When titans meet - Can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? The role of critical success factors. Technological Forecasting & Social Change, 132, 18-25. https://doi.org/10.1016/j.techfore.2018.01.017
Ding, K., Chan, F. T. S., Zhang, X., Zhou, G., & Zhang, F. (2019). Defining a digital twin-based cyber-physical production system for autonomous manufacturing in smart shop floors. International Journal of Production Research, 57(20), 6315-6334. https://doi.org/10.1080/00207543.2019.1566661
Egorov, A., Semenov, A., Bebikhov, Y., & Sigaenko, A. (2019). Assessment of energy efficiency of the modernized main fan unit for an underground mine. International Journal of Energy for a Clean Environment, 20(2). https://doi.org/10.1615/InterJEnerCleanEnv.2019026505
Ejsmont, K., Gladysz, B., & Kluczek, A. (2020). Impact of Industry 4.0 on sustainability: Bibliometric literature review. Sustainability, 12, 1-29. https://doi.org/10.3390/su12145650
Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, 210, 15-26. https://doi.org/10.1016/j.ijpe.2019.01.004
Ghobakhloo, M. (2018). The future of manufacturing industry: A strategic roadmap toward Industry 4.0. Journal of Manufacturing Technology Management, 29(6), 910-936. https://doi.org/10.1108/JMTM-02-2018-0057
Ghobakhloo, M. (2020). Industry 4.0, digitization and opportunities for sustainability. Journal of Cleaner Production, 252, 1-21. https://doi.org/10.1016/j.jclepro.2019.119869
Govindan, K., Soleimani, H., & Kannan, D. (2015). Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future. European Journal of Operational Research, 240(3), 603-626. https://doi.org/10.1016/j.ejor.2014.07.012
Gupta, S., Modgil, S., & Gunasekaran, A. (2019). Big data in lean six sigma: A review and further research directions. International Journal of Production Research, 58(3), 947-969. https://doi.org/10.1080/00207543.2019.1598599
Han, H., & Trimi, S. (2022). Towards a data science platform for improving SME collaboration through Industry 4.0 technologies. Technological Forecasting and Social Change, 174, 121242. https://doi.org/10.1016/j.techfore.2021.121242
Haseeb, M., Hussain, H. I., Slusarczyk, B., & Jermsittiparsert, K. (2019). Industry 4.0: A solution towards technology challenges of sustainable business performance. Social Sciences, 8(5), 1-24. https://doi.org/10.3390/socsci8050154
Helo, P., Suorsa, M., Hao, Y., & Anussornnitisarn, P. (2014). Toward a cloud-based manufacturing execution system for distributed manufacturing. Computers in Industry, 65, 646-656. https://doi.org/10.1016/j.compind.2014.01.015
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. https://doi.org/10.1080/00207543.2014.999958
Javaid, M., Haleem, A., Singh, R. P., Suman, R., & Gonzalez, E. S. (2022). Understanding the adoption of Industry 4.0 technologies in improving environmental sustainability. Sustainable Operations and Computers, 3, 203-217. https://doi.org/10.1016/j.susoc.2022.01.008
Kamble, S. S., Gunasekaran, A., & Sharma, R. (2018). Analysis of the driving and dependence power of barriers to adopt Industry 4.0 in Indian manufacturing industry. Computers in Industry, 101, 107-119. https://doi.org/10.1016/j.compind.2018.06.004
Kamble, S. S., Gunasekaran, A., & Dhone, N. C. (2020). Industry 4.0 and lean manufacturing practices for sustainable organizational performance in Indian manufacturing companies. International Journal of Production Research, 58(5), 1319-1337. https://doi.org/10.1080/00207543.2019.1630772
Kang, H. S., & Lee, J. Y. (2019). A dynamic processing methodology of manufacturing data for the automated throughput analysis in cyber-physical production environment. Concurrent Engineering: Research and Applications, 27(2), 155-169. https://doi.org/10.1177/1063293X19842264
Kaswan, M. S., Rathi, R., Cross, J., Garza-Reyes, J. A., Antony, J., & Yadav, V. (2022). Integrating Green Lean Six Sigma and Industry 4.0: A conceptual framework. Journal of Manufacturing Technology Management, 34(1), 87-121. https://doi.org/10.1108/JMTM-03-2022-0115
Khan, U., & Haleem, A. (2015). Improving to smart organization: An integrated ISM and fuzzy-MICMAC modelling of barriers. Journal of Manufacturing Technology Management, 26(6), 807-829. https://doi.org/10.1108/JMTM-05-2014-0062
Khan, I. S., Ahmad, M. O., & Majava, J. (2021). Industry 4.0 and sustainable development: A systematic mapping of triple bottom line, circular economy and sustainable business models perspectives. Journal of Cleaner Production, 297, 126655. https://doi.org/10.1016/j.jclepro.2021.126655
Kumar, A. (2017). Methods and materials for smart manufacturing: Additive manufacturing, internet of things, flexible sensors and soft robotics. Manufacturing Letters, 15(B), 122-125. https://doi.org/10.1016/j.mfglet.2017.12.014
Kusiak, A. (2017). Smart manufacturing. International Journal of Production Research, 56(1-2), 508-517. https://doi.org/10.1080/00207543.2017.1351644
Kusiak, A. (2019). Fundamentals of smart manufacturing: A multi-thread perspective. Annual Reviews in Control, 47, 214-220. https://doi.org/10.1016/j.arcontrol.2019.02.001
Lee, J., Bagheri, B., & Kao, H. (2015). A cyber-physical systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters, 3, 18-23. https://doi.org/10.1016/j.mfglet.2014.12.001
Lelli, F. (2019). Interoperability of the time of Industry 4.0 and the Internet of Things. Future Internet, 11(36), 1-13. https://doi.org/10.3390/fi11020036
Leng, J., Zhang, H., Yan, D., Liu, Q., Chen, X., & Zhang, D. (2018). Digital twin-driven manufacturing cyber-physical system for parallel controlling of smart workshop. Journal of Ambient Intelligence and Humanized Computing, 10(3), 1155-1166. https://doi.org/10.1007/s12652-018-0881-5
Leng, J., Ruan, G., Jiang, P., Xu, K., Liu, Q., Zhou, X., & Liu, C. (2020). Blockchain-empowered sustainable manufacturing and product lifecycle management in Industry 4.0: A survey. Renewable and Sustainable Energy Reviews, 132, 110112. https://doi.org/10.1016/j.rser.2020.110112
Lin, D., Lee, C. K. M., Lau, H., & Yang, Y. (2018). Strategic response to Industry 4.0: An empirical investigation on the Chinese automotive industry. Industrial Management & Data Systems, 118(3), 589-605. https://doi.org/10.1108/IMDS09-2017-0403
Lin, T. C., Wang, K. J., & Sheng, M. L. (2019). To assess smart manufacturing readiness by maturity model: A case study on Taiwan enterprises. International Journal of Computer Integrated Manufacturing, 33(1), 101-115. https://doi.org/10.1080/0951192X.2019.1699255
Liu, C., Vengayil, H., Zhong, R. Y., & Xu, X. (2018). A systematic development method for cyber-physical machine tools. Journal of Manufacturing Systems, 48(C), 13-24. https://doi.org/10.1016/j.jmsy.2018.02.001
Lu, Y. (2017). Industry 4.0: A survey on technologies, applications and open research. Journal of Industrial Information Integration, 6, 1-10. https://doi.org/10.1016/j.jii.2017.04.005
Lu, Y., Liu, C., Wang, K. I. K., Huang, H., & Xu, X. (2020). Digital twin-driven smart manufacturing: Connotation, reference model, applications and research issues. Robotics and Computer-Integrated Manufacturing, 61, 1-14. https://doi.org/10.1016/j.rcim.2019.101837
Ma, S., Zhang, Y., Lv, J., Yang, H., & Wu, J. (2019). Energy-cyber-physical system enabled management for energyintensive manufacturing industries. Journal of Cleaner Production, 226(20), 892-903. https://doi.org/10.1016/j.jclepro.2019.04.134
Machado, C. G., Winroth, M. P., & Ribeiro da Silva, E. H. D. (2020). Sustainable manufacturing in Industry 4.0: An emerging research agenda. International Journal of Production Research, 58(5), 1462-1484. https://doi.org/10.1080/00207543.2019.1652777
Manavalan, E., & Jayakrishna, K. (2018). A review of Internet of Things (IoT) embedded sustainable supply chain for Industry 4.0 requirements. Computers and Industrial Engineering, 127, 925-953. https://doi.org/10.1016/j.cie.2018.11.030
Matthyssens, P. (2019). Reconceptualizing value innovation for Industry 4.0 and the Industrial Internet of Things. Journal of Business & Industrial Marketing, 34(6), 1203-1209. https://doi.org/10.1108/JBIM-11-2018-0348
Mitlin, D. (1992). Sustainable development: A guide to the literature. Environment and Urbanization, 4(1), 111-124. https://doi.org/10.1177/095624789200400112
Mittal, S., Ahmad, M., Romero, D., & Wuest, T. (2018). A critical review of smart manufacturing & Industry 4.0 maturity models: Implications for small and medium-sized enterprises (SMEs). Journal of Manufacturing Systems, 49, 194-214. https://doi.org/10.1016/j.jmsy.2018.10.005
Mittal, S., Khan, M. A., Romero, D., & Wuest, T. (2019). Smart manufacturing: Characteristics, technologies and enabling factors. Journal of Engineering Manufacture, 233(5), 1342-1361. https://doi.org/10.1177/0954405417736547
Moeuf, A., Lamouri, S., Pellerin, R., Tamayo-Giraldo, S., Tobon-Valencia, E., & Eburdy, R. (2019). Identification of critical success factors, risks and opportunities of Industry 4.0 in SMEs. International Journal of Production Research, 58(5), 1-17. https://doi.org/10.1080/00207543.2019.1636323
Moreno, A., Velez, G., Ardanza, A., Barandiaran, I., Ruiz de Infante, A., & Chopitea, R. (2017). Virtualization process of a sheet metal punching machine within the Industry 4.0 vision. International Journal on Interactive Design and Manufacturing (IJIDeM), 11, 365-373. https://doi.org/10.1007/s12008-016-0319-2
Moyne, J., & Iskandar, J. (2017). Big data analytics for smart manufacturing: Case studies in semiconductor manufacturing. Processes, 5(3), 39. https://doi.org/10.3390/pr5030039
Muller, J. M., Kiel, D., & Voigt, K. I. (2018). What drives the implementation of Industry 4.0? The role of opportunities and challenges in the context of sustainability. Sustainability, 10(247), 1-24. https://doi.org/10.3390/su10010247
Nagy, J., Olah, J., Erdei, E., Mate, D., & Popp, J. (2018). The role and impact of Industry 4.0 and the Internet of Things on the business strategy of the value chain: The case of Hungary. Sustainability, 10(10), 1-25. https://doi.org/10.3390/su10103491
Nara, E. O. B., da Costa, M. B., Baierle, I. C., Schaefer, J. L., Benitez, G. B., do Santos, L. M. A. L., & Benitez, L. B. (2021). Expected impact of Industry 4.0 technologies on sustainable development: A study in the context of Brazil's plastic industry. Sustainable Production and Consumption, 25, 102-122. https://doi.org/10.1016/j.spc.2020.07.018
Nascimento, D. L. M., Alencastro, V., Quelhas, O. L. G., Caiado, R. G. G., Garza-Reyes, J. A., Lona, L. R., & Tortorella, G. (2018). Exploring Industry 4.0 technologies to enable circular economy practices in a manufacturing context. Journal of Manufacturing Technology Management, 30(3), 607-627. https://doi.org/10.1108/JMTM-03-2018-0071
Nedaei, M., Walsh, P., & Assareh, E. (2020). Sustainable energy planning of a wind power plant by coordinating clean development strategies. International Journal of Energy for a Clean Environment, 21(1). https://doi.org/10.1615/InterJEnerCleanEnv.2020033676
Oláh, J., Aburumman, N., Popp, J., Khan, M. A., Haddad, H., & Kitukutha, N. (2020). Impact of Industry 4.0 on environmental sustainability. Sustainability, 12(11), 4674. https://doi.org/10.3390/su12114674
Oesterreich, T. D., & Teuteberg, F. (2016). Understanding the implications of digitisation and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry. Computers in industry, 83, 121-139. https://doi.org/10.1016/j.compind.2016.09.006
Qandil, M. D., Abbas, A. I., Abdelhadi, A. I., Salem, A. R., & Amano, R. S. (2021). Energy analysis: Ways to save energy and reduce the emissions in wastewater treatment plants. International Journal of Energy for a Clean Environment, 22(1). https://doi.org/10.1615/InterJEnerCleanEnv.2020035138
Qian, C., Zhang, Y., Jiang, C., Pan, S., & Rong, Y. (2020). A real-time data-driven collaborative mechanism in fixedposition assembly systems for smart manufacturing. Robotics and Computer Integrated Manufacturing, 61, 1-13. https://doi.org/10.1016/j.rcim.2019.101841
Qin, J., Liu, Y., & Grosvenor, R. (2016). A categorical framework of manufacturing for industry 4.0 and beyond. Procedia cirp, 52, 173-178. https://doi.org/10.1016/j.procir.2016.08.005
Radziwon, A., Bilberg, A., Bogers, M., & Madsen, E. S. (2014). The smart factory: exploring adaptive and flexible manufacturing solutions. Procedia engineering, 69, 1184-1190. https://doi.org/10.1016/j.proeng.2014.03.108
Rafique, M. Z., Ab Rahman, M. N., Saibani, N., Arsad, N., & Saadat, W. (2016). RFID impacts on barriers affecting lean manufacturing. Industrial Management & Data Systems, 116(8), 1585-1616. https://doi.org/10.1108/IMDS-10-2015-0427
Raj, A., Dwivedi, G., Sharma, A., de Sousa Jabbour, A. B. L., & Rajak, S. (2019). Barriers to the adoption of Industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective. International Journal of Production Economics, 224, 1-50. https://doi.org/10.1016/j.ijpe.2019.107546
Rajput, S., & Singh, S. P. (2019). Identifying Industry 4.0 IoT enablers by integrated PCA-ISM-DEMATEL approach. Management Decision, 57(8), 1784-1817. https://doi.org/10.1108/MD-04-2018-0378
Ren, S., Zhang, Y., Liu, Y., Sakao, T., Huisingh, D., & Almeida, C. M. V. (2018). A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions. Journal of Cleaner Production, 210(10), 1343-1365. https://doi.org/10.1016/j.jclepro.2018.11.025
Roblek, V., Meško, M., & Krapež, A. (2016). A complex view of Industry 4.0. Sage Open, 6(2), 2158244016653987. https://doi.org/10.1177/2158244016653987
Rosin, F., P. Forget, S. Lamouri, and R. Pellerin. 2019. "Impacts of Industry 4.0 technologies on Lean principles."International Journal of Production Research. 50(6): 1644-1661. https://doi.org/10.1080/00207543.2019.1672902
Rosin, F., Forget, P., Lamouri, S., & Pellerin, R. (2020). Impacts of Industry 4.0 technologies on Lean principles. International Journal of Production Research, 58(6), 1644-1661. https://doi.org/10.1080/00207543.2019.1672902
Rossit, D. A., Tohme, F., & Frutos, M. (2019). Industry 4.0: Smart scheduling. International Journal of Production Research, 57(12), 3802-3813. https://doi.org/10.1080/00207543.2018.1504248
Ruggerio, C. A. (2021). Sustainability and sustainable development: A review of principles and definitions. Science of the Total Environment, 786, 147481. https://doi.org/10.1016/j.scitotenv.2021.147481
Saniuk, S., & Grabowska, S. (2020). Social expectations and market changes in the context of developing the Industry 4.0 concept. Sustainability, 12(1362), 1-21. https://doi.org/10.3390/su12041362
Sartal, A., Bellas, R., Mejías, A. M., & García-Collado, A. (2020). The sustainable manufacturing concept, evolution and opportunities within Industry 4.0: A literature review. Advances in Mechanical Engineering, 12(5), 1-17. https://doi.org/10.1177/1687814020925232
Schlechtendahl, J., Keinert, M., Kretschmer, F., Lechler, A., & Verl, A. (2014). Making existing production systems Industry 4.0-ready: Holistic approach to the integration of existing production systems in Industry 4.0 environments. Production Engineering Research Development, 9, 143-148. https://doi.org/10.1007/s11740-014-0586-3
Schmidt, R., Mohring, M., Harting, R. C., Reichstein, C., Neumaier, P., & Jozinovic, P. (2015). Industry 4.0 - Potentials for creating smart products: Empirical research. In W. Abramowicz (Ed.), BIS 2015 (pp. 16-27). Springer. https://doi.org/10.1007/978-3-319-19027-3
Serrano-Ruiz, J. C., Mula, J., & Poler, R. (2021). Smart manufacturing scheduling: A literature review. Journal of Manufacturing Systems, 61, 265-287. https://doi.org/10.1016/j.jmsy.2021.09.011
Sharma, R., Jabbour, C. J. C., & de Sousa Jabbour, A. B. L. (2020). Sustainable manufacturing and Industry 4.0: What we know and what we don't. Journal of Enterprise Information Management, 34(1), 230-266. https://doi.org/10.1108/JEIM-01-2020-0024
Sharp, M., Ak, R., & Hedberg, T. (2018). A survey of the advancing use and development of machine learning in smart manufacturing. Journal of Manufacturing Systems, 48, 170-179. https://doi.org/10.1016/j.jmsy.2018.02.004
Singh, R., & Bhanot, N. (2020). An integrated DEMATEL-MMDE-ISM based approach for analysing the barriers of IoT implementation in the manufacturing industry. International Journal of Production Research, 58(8), 2454-2476. https://doi.org/10.1080/00207543.2019.1675915
Sony, M., & Naik, S. (2019). Key ingredients for evaluating Industry 4.0 readiness for organizations: A literature review. Benchmarking: An International Journal, 27(7), 2213-2232. https://doi.org/10.1108/BIJ-09-2018-0284
Strange, R., & Zucchella, A. (2017). Industry 4.0, global value chains and international business. Multinational Business Review, 25(3), 174-184. https://doi.org/10.1108/MBR-05-2017-0028
Tao, F., Qi, Q., Liu, A., & Kusiak, A. (2018). Data-driven smart manufacturing. Journal of Manufacturing Systems, 1-13. https://doi.org/10.1016/j.jmsy.2018.01.006
Thomas, A., & Trentesaux, D. (2014). Are intelligent manufacturing systems sustainable? Service Orientation in Holonic and Multi-Agent Manufacturing and Robotics, 3-14. https://doi.org/10.1007/978-3-319-04735-5_1
Tortorella, G. Z., & Fettermann, D. (2017). Implementation of Industry 4.0 and lean production in Brazilian manufacturing companies. International Journal of Production Research, 56(8), 2975-2987. https://doi.org/10.1080/00207543.2017.1391420
Tuptuk, N., & Hailes, S. (2018). Security of smart manufacturing systems. Journal of Manufacturing Systems, 47, 93-106. https://doi.org/10.1016/j.jmsy.2018.04.007
Urbina Coronado, P. D., Louhichi, R. L. W., Parto, M., Wescoat, E., & Kurfess, T. (2018). Part data integration in the shop floor digital twin: Mobile and cloud technologies to enable a manufacturing enable system. Journal of Manufacturing Systems. https://doi.org/10.1016/j.jmsy.2018.02.002
Varela, L., Ara, A., Paulo, A., & Castro, H. (2019). Evaluation of the relation between lean manufacturing, Industry 4.0, and sustainability. Sustainability, 11(5), 1-19. https://doi.org/10.3390/su11051439
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, 158-168. https://doi.org/10.1016/j.comnet.2015.12.017
Wang, J., Ye, L., Gao, R. X., Li, C., & Zhang, L. (2018). Digital Twin for rotating machinery fault diagnosis in smart manufacturing. International Journal of Production Research, 57(12), 3920-3934. https://doi.org/10.1080/00207543.2018.1552032
Wang, J., Ma, Y., Zhang, L., Gao, R. X., & Wu, D. (2018). Deep learning for smart manufacturing: Methods and applications. Journal of Manufacturing Systems, 48, 144-156. https://doi.org/10.1016/j.jmsy.2018.01.003
Wang, W., Zhang, Y., & Zhong, R. Y. (2020). A proactive material handling method for CPS enabled shop-floor. Robotics and Computer-Integrated Manufacturing, 61, 1-14. https://doi.org/10.1016/j.rcim.2019.101849
Xu, X. (2012). From cloud computing to cloud manufacturing ubiquitous product life cycle support. Robotics and Computer-Integrated Manufacturing, 28(1), 75-86. https://doi.org/10.1016/j.rcim.2011.07.002
Yadav, N., Shankar, R., & Singh, S. P. (2020). Impact of Industry 4.0/ICTs, Lean Six Sigma and quality management systems on organizational performance. TQM Journal, 32(4), 815-835. https://doi.org/10.1108/TQM-10-2019-0251
Yadav, V. S., Singh, A. R., Raut, R. D., Mangla, S. K., Luthra, S., & Kumar, A. (2022). Exploring the application of Industry 4.0 technologies in the agricultural food supply chain: A systematic literature review. Computers & Industrial Engineering, 169, 108304. https://doi.org/10.1016/j.cie.2022.108304
Yang, F., & Gu, S. (2021). Industry 4.0, a revolution that requires technology and national strategies. Complex & Intelligent Systems, 7, 1311-1325. https://doi.org/10.1007/s40747-020-00267-9
Yue, X., Cai, H., Yan, H., Zou, C., & Zhou, K. (2015). Cloud-assisted industrial cyber-physical systems: An insight. Microprocessors and Microsystems, 39(8), 1262-1270. https://doi.org/10.1016/j.micpro.2015.08.013
Zhang, Y., Zhang, G., Wang, J., Sun, S., Si, S., & Yang, T. (2014). Real-time information capturing and integration framework of the internet of manufacturing things. International Journal of Computer Integrated Manufacturing, 28(8), 811-822. https://doi.org/10.1080/0951192X.2014.900874
Zhang, A., Venkatesh, V. G., Wang, J., Venkatesh, M., Wan, M., & Qu, T. (2019). Drivers of Industry 4.0-enabled smart waste management in supply chain operations: A circular economy perspective in China. Production Planning & Control, 1-51.
Zheng, P., Wang, H., Sang, Z., Zhong, R. Y., Liu, Y., Liu, C., Mubarok, K., Yu, S., & Xu, X. (2018). Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios and future perspectives. Frontier Mechanical Engineering, 13(2), 137-150. https://doi.org/10.1007/s11465-018-0499-5
Zheng, T., Ardolino, M., Bacchetti, A., & Perona, M. (2021). The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review. International Journal of Production Research, 59(6), 1922-1954. https://doi.org/10.1080/00207543.2020.1824085
Zhou, F., Lin, X., Liu, C., Zhao, Y., Xu, P., Ren, L., Xue, T., & Ren, L. (2018). A survey of visualization for smart manufacturing. Journal of Visualization, 22, 419-435. https://doi.org/10.1007/s12650-018-0530-2
Zhuang, C., Liu, J., & Xiong, H. (2018). Digital twin-based smart production management and control framework for the complex product assembly shop-floor. International Journal of Advanced Manufacturing Technology, 96, 1149-1163. https://doi.org/10.1007/s00170-018-1617-6
Zwetsloot, I. M., Kuiper, A., Akkerhuis, T. S., & de Koning, H. (2018). Lean Six Sigma meets data science: Integrating two approaches based on three case studies. Quality Engineering, 30(3), 419-431. https://doi.org/10.1080/08982112.2018.1434892



