Manufacturing equipment retrofitting towards Industry 4.0 standards — a systematic overview of the literature

Al-Maeeni, S. S. H., Kuhnhen, C., Engel, B., & Schiller, M. (2020). Smart retrofitting of machine tools in the context of industry 4.0. Procedia CIRP, 88, 369-374. doi: 10.1016/j.procir.2020.05.064 Search in Google Scholar

Arjoni, D. H., Madani, F. S., Ikeda, G., Carvalho, G. de M., Cobianchi, L. B., Ferreira, L. F. L. R., & Villani, E. (2017). Manufacture Equipment Retrofit to Allow Usage in the Industry 4.0. 2017 2nd International Conference on Cybernetics, Robotics and Control (CRC), 155-161. doi: 10.1109/CRC.2017.46 Search in Google Scholar

Bergstrom, S. D., & Guenther, D. S. (2008). Retrofit of Power Centers Within an Airport. IEEE Transactions on Industry Applications, 44(6), 1918-1923. doi: 10.1109/TIA.2008.2006340 Search in Google Scholar

Burresi, G., Ermini, S., Bernabini, D., Lorusso, M., Gelli, F., Frustace, D., & Rizzo, A. (2020). Smart Retrofitting by Design Thinking Applied to an Industry 4.0 Migration Process in a Steel Mill Plant. 2020 9th Mediterranean Conference on Embedded Computing (MECO), 1-6. doi: 10.1109/MECO49872.2020.9134210 Search in Google Scholar

Camarena-Gil, E., Garrigues, C., & Puig, F. (2020). Innovating in the textile industry: An uncoordinated dance between firms and their territory? Journal of Entrepreneurship, Management and Innovation, 16(3), 47-76. doi: 10.7341/20201632 Search in Google Scholar

Carlo, F. D., Mazzuto, G., Bevilacqua, M., Ciarapica, F. E., Ortenzi, M., Donato, L. D., Ferraro, A., & Pirozzi, M. (2021). A process plant retrofitting framework in Industry 4.0 perspective. IFAC-PapersOnLine, 54(1), 67-72. doi: 10.1016/j.ifacol.2021.08.007 Search in Google Scholar

Corne, R., Nath, C., El Mansori, M., & Kurfess, T. (2017). Study of spindle power data with neural network for predicting real-time tool wear/breakage during inconel drilling. Journal of Manufacturing Systems, 43, 287-295. doi: 10.1016/j.jmsy.2017.01.004 Search in Google Scholar

Fisch, C., & Block, J. (2018). Six tips for your (systematic) literature review in business and management research. Management Review Quarterly, 68(2), 103-106. doi: 10.1007/s11301-018-0142-x Search in Google Scholar

Guerreiro, B. V., Lins, R. G., Sun, J., & Schmitt, R. (2018). Definition of Smart Retrofitting: First Steps for a Company to Deploy Aspects of Industry 4.0. In A. Hamrol, O. Ciszak, S. Legutko, & M. Jurczyk (Eds.), Advances in Manufacturing (pp. 161-170). Springer International Publishing. doi: 10.1007/978-3-319-68619-6_16Keshav Kolla, S. S. V., Lourenço, D. M., Kumar, A. A., & Plapper, P. (2022). Retrofitting of legacy machines in the context of Industrial Internet of Things (IIoT). Procedia Computer Science, 200, 62-70. doi: 10.1016/j.procs.2022.01.205 Search in Google Scholar

Gulewicz, M. (2022). Digital twin technology – Awareness, implementation problems and benefits. Engineering Management in Production and Services, 14(1), 63-77. doi: 10.2478/emj-2022-0006 Search in Google Scholar

Herwan, J., Kano, S., Ryabov, O., Sawada, H., Kasashima, N., & Misaka, T. (2019). Retrofitting old CNC turning with an accelerometer at a remote location towards Industry 4.0. Manufacturing Letters, 21, 56-59. doi: 10.1016/j.mfglet.2019.08.001 Search in Google Scholar

Hesser, D. F., & Markert, B. (2019). Tool wear monitoring of a retrofitted CNC milling machine using artificial neural networks. Manufacturing Letters, 19, 1-4. doi: 10.1016/j.mfglet.2018.11.001 Search in Google Scholar

Ilari, S., Carlo, F. D., Ciarapica, F. E., & Bevilacqua, M. (2021). Machine Tool Transition from Industry 3.0 to 4.0: A Comparison between Old Machine Retrofitting and the Purchase of New Machines from a Triple Bottom Line Perspective. Sustainability, 13(18), 10441. doi: 10.3390/su131810441 Search in Google Scholar

Kancharla, C. R., Bekaert, L., Lannoo, J., Vankeirsbilck, J., Vanoost, D., Boydens, J., & Hallez, H. (2021). Augmented Reality Based Machine Monitoring for Legacy Machines: A retrofitting use case. 2021 XXX International Scientific Conference Electronics (ET), 1-5. doi: 10.1109/ET52713.2021.9579936 Search in Google Scholar

Kang, J.-K., & Suh, S.-H. (1997). Machinability and set-up orientation for five-axis numerically controlled machining of free surfaces. The International Journal of Advanced Manufacturing Technology, 13(5), 311-325. doi: 10.1007/BF01178251 Search in Google Scholar

Keshav Kolla, S. S. V., Lourenço, D. M., Kumar, A. A., & Plapper, P. (2022). Retrofitting of legacy machines in the context of Industrial Internet of Things (IIoT). Procedia Computer Science, 200, 62-70. doi: 10.1016/j.procs.2022.01.205 Search in Google Scholar

Lima, F., Massote, A. A., & Maia, R. F. (2019). IoT Energy Retrofit and the Connection of Legacy Machines Inside the Industry 4.0 Concept. IECON 2019 – 45th Annual Conference of the IEEE Industrial Electronics Society, 5499-5504. doi: 10.1109/IECON.2019.8927799 Search in Google Scholar

Lins, T., Augusto Rabelo Oliveira, R., H. A. Correia, L., & Sa Silva, J. (2018). Industry 4.0 Retrofitting. 2018 VIII Brazilian Symposium on Computing Systems Engineering (SBESC), 8-15. doi: 10.1109/SBESC.2018.00011 Search in Google Scholar

Medina, B. E., & Manera, L. T. (2017). Retrofit of air conditioning systems through an Wireless Sensor and Actuator Network: An IoT-based application for smart buildings. 2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC), 49-53. doi: 10.1109/ICNSC.2017.8000066 Search in Google Scholar

Mourtzis, D., Angelopoulos, J., & Panopoulos, N. (2020). Recycling and retrofitting for industrial equipment based on augmented reality. Procedia CIRP, 90, 606-610. doi: 10.1016/j.procir.2020.02.134 Search in Google Scholar

Niemeyer, C. L., Gehrke, I., Müller, K., Küsters, D., & Gries, T. (2020). Getting Small Medium Enterprises started on Industry 4.0 using retrofitting solutions. Procedia Manufacturing, 45, 208-214. doi: 10.1016/j.promfg.2020.04.096 Search in Google Scholar

Nightingale, A. (2009). A guide to systematic literature reviews. Surgery (Oxford), 27(9), 381-384. doi: 10.1016/j.mpsur.2009.07.005 Search in Google Scholar

Okoli, C. (2015). A Guide to Conducting a Standalone Systematic Literature Review. Communications of the Association for Information Systems, 37. doi: 10.17705/1CAIS.03743 Search in Google Scholar

Olsen, T. L., & Tomlin, B. (2020). Industry 4.0: Opportunities and Challenges for Operations Management. Manufacturing & Service Operations Management, 22(1), 113-122. doi: 10.1287/msom.2019.0796 Search in Google Scholar

Panda, S. K., Blome, A., Wisniewski, L., & Meyer, A. (2019). IoT Retrofitting Approach for the Food Industry. 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 1639-1642. doi: 10.1109/ETFA.2019.8869093 Search in Google Scholar

Panda, S. K., Wisniewski, L., Ehrlich, M., Majumder, M., & Jasperneite, J. (2020). Plug & Play Retrofitting Approach for Data Integration to the Cloud. 2020 16^th IEEE International Conference on Factory Communication Systems (WFCS), 1-8. doi: 10.1109/WFCS47810.2020.9114523 Search in Google Scholar

Pandiyan, V., Caesarendra, W., Tjahjowidodo, T., & Tan, H. H. (2018). In-process tool condition monitoring in compliant abrasive belt grinding process using support vector machine and genetic algorithm. Journal of Manufacturing Processes, 31, 199-213. doi: 10.1016/j.jmapro.2017.11.014 Search in Google Scholar

Pisching, M. A., Pessoa, M. A. O., Junqueira, F., dos Santos Filho, D. J., & Miyagi, P. E. (2018). An architecture based on RAMI 4.0 to discover equipment to process operations required by products. Computers & Industrial Engineering, 125, 574-591. doi: 10.1016/j. cie.2017.12.029 Search in Google Scholar

Quatrano, A., De, S., Rivera, Z. B., & Guida, D. (2017). Development and implementation of a control system for a retrofitted CNC machine by using Arduino. FME Transaction, 45(4), 565-571. doi: 10.5937/fmet1704565Q Search in Google Scholar

Sanghavi, D., Parikh, S., & Raj, S. A. (2019). Industry 4.0: Tools and Implementation. doi: 10.24425/MPER.2019.129593 Search in Google Scholar

Sridevi, S., Dhanasekar, J., & Manikandan, G. (2015). A methodology of retrofitting for CNC vertical milling machine. 2015 International Conference on Robotics, Automation, Control and Embedded Systems (RACE), 1-4. doi: 10.1109/RACE.2015.7097257 Search in Google Scholar

Stock, T., & Seliger, G. (2016). Opportunities of Sustainable Manufacturing in Industry 4.0. Procedia CIRP, 40, 536-541. doi: 10.1016/j.procir.2016.01.129 Search in Google Scholar

Szpilko, D., & Ejdys, J. (2022). European Green Deal – research directions. a systematic literature review. Ekonomia i Środowisko - Economics and Environment, 81(2), 8-38. doi: 10.34659/eis.2022.81.2.455 Search in Google Scholar

Tantscher, D., & Mayer, B. (2022). Digital Retrofitting of legacy machines: A holistic procedure model for industrial companies. CIRP Journal of Manufacturing Science and Technology, 36, 35-44. doi: 10.1016/j.cirpj.2021.10.011 Search in Google Scholar

Torres-Carrión, P. V., González-González, C. S., Aciar, S., & Rodríguez-Morales, G. (2018). Methodology for systematic literature review applied to engineering and education. 2018 IEEE Global Engineering Education Conference (EDUCON), 1364-1373. doi: 10.1109/EDUCON.2018.8363388 Search in Google Scholar

Wu, D., Jennings, C., Terpenny, J., Gao, R. X., & Kumara, S. (2017). A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests. Journal of Manufacturing Science and Engineering, 139(7). doi: 10.1115/1.4036350 Search in Google Scholar

Xiao, Y., & Watson, M. (2019). Guidance on Conducting a Systematic Literature Review. Journal of Planning Education and Research, 39(1), 93-112. doi: 10.1177/0739456X17723971 Search in Google Scholar

Younkin, G., & Hesla, E. (2008). Origin of Numerical Control [History]. IEEE Industry Applications Magazine, 14(5), 10-12. doi: 10.1109/MIAS.2008.927525 Search in Google Scholar

Zambetti, M., Khan, M. A., Pinto, R., & Wuest, T. (2020). Enabling servitization by retrofitting legacy equipment for Industry 4.0 applications: Benefits and barriers for OEMs. Procedia Manufacturing, 48, 1047-1053. doi: 10.1016/j.promfg.2020.05.144 Search in Google Scholar

Xie, H., Shi, W., Choudhary, H., Fu, H., & Guo, X. (2019). Big Data Analysis for Retrofit Projects in Smart Cities. 2019 3rd International Conference on Smart Grid and Smart Cities (ICSGSC), 1-5. doi: 10.1109/ICSGSC.2019.00-28 Search in Google Scholar