Simulation of a welding station with RobotStudio
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Abstract
Industrial robotic arms are key factors for smart manufacturing in the Industry 4.0 era. Technical and financial information are essential to robotic welding investment decisions, but the literature on analytical processes is lacking. This research proposes the use of the ECRS framework in enhancing welding processes, simulating workstations with RobotStudio, comparing productivity, and evaluating financial feasibility. The framework was applied to the manufacturing of off-road front bumpers. Results show that robotic welding reduces working time by 82.3%, increases productivity 5.64-fold, and reduces operational costs by 94.67%. The simple payback period is 4.65 years, and the discounted payback period is 5.73–5.84 years, depending on investing capital. Change in welder wage has the largest effect on the net present value and internal rate of return of the project, whereas change in electricity cost has the least effect.
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References
Adegbola, Y. U., Fisher, P. R., and Hodges, A. W. (2019). Economic evaluation of transplant robots for plant cuttings. Scientia Horticulturae, 246, 237–243.
Alcácer, V., and 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(3), 899–919.
Cohal, V. (2017). A welding technology using RobotStudio. MATEC Web of Conferences, 112, 03012.
Connolly, C. (2009). Technology and applications of ABB RobotStudio. Industrial Robot, 36(6), 540–545.
Flores, E., Xu, X., and Lu, Y. (2020). Human Capital 4.0: A workforce competence typology for industry 4.0. Journal of Manufacturing Technology Management, 31(4), 687–703.
Fu, C., Jing, B., Huiyu, W., and Xiaoguang, X. (2019). Reducing the energy consumption of a palletizing robot through RobotStudio. In Proceedings of the 2019 Chinese Control and Decision Conference (CCDC), pp. 5608–5610. Nanchang, China.
Gadaleta, M., Pellicciari, M., and Berselli, G. (2019). Optimization of the energy consumption of industrial robots for automatic code generation. Robotics and Computer-Integrated Manufacturing, 57, 452–464.
Gamboa, P., and Singgih, M. L. (2021). Lean manufacturing improvement using ECRS and TRIZ methods: Literature review. In Proceedings of the Second Asia Pacific International Conference on Industrial Engineering and Operations Management, pp. 2996–3000. Surakarta, Indonesia.
Hedelind, M., and Jackson, M. (2011). How to improve the use of industrial robots in lean manufacturing systems. Journal of Manufacturing Technology Management, 22(7), 891–905.
Holubek, R., Delgado Sobrino, D. R., Košťál, P., and Ružarovský, R. (2014). Offline programming of an ABB robot using imported CAD models in the RobotStudio software environment. Applied Mechanics and Materials, 693, 62–67.
Holubek, R., Ružarovský, R., and Delgado Sobrino, D. R. (2018). Using virtual reality as a support tool for the offline robot programming. Research Papers Faculty of Materials Science and Technology in Trnava Slovak University of Technology in Bratislava, 26(42), 85–91.
Huang, S., Wang, B., Li, X., Zheng, P., Mourtzis, D., and Wang, L. (2022). Industry 5.0 and society 5.0—comparison, complementation and co-evolution. Journal of Manufacturing Systems, 64, 424–428.
ISO. (2011). Robots and robotic devices — safety requirements for industrial robots — part 1: Robots. In ISO 10218-1, 2nd, p. 43. Geneva: International Organization for Standardization.
Ivan, A.-M., Avram, G.-C., Nicolescu, A. F., and Strajescu, E. R. (2010). Offline programming and simulation of arc welding robotic cell using RobotStudio software. In Annals of DAAAM for 2010 & Proceedings of the 21st International DAAAM Symposium ''Intelligent Manufacturing & Automation'' (Katalinic, B., Ed.), Vienna, Austria
Jena, M. C., Mishra, S. K., and Moharana, H. S. (2019). Application of industry 4.0 to enhance sustainable manufacturing. Environmental Progress & Sustainable Energy, 39(1), e13360.
Junior, R. G. P., Inácio, R. H., da Silva, I. B., Hassui, A., and Barbosa, G. F. (2022). A novel framework for single-minute exchange of die (SMED) assisted by lean tools. The International Journal of Advanced Manufacturing Technology, 119(9–10), 6469–6487.
Kiwała, S., Kazibudzki, J., Muraszkowski, A., and Olinski, M. (2016). Fast trajectory planning and programming of a robotic manipulator using RobotStudio software for inertial sensor testing. Interdisciplinary Journal of Engineering Sciences, 4(1), 56–64.
KUKA. (2015). KUKA System Software 8.3 Operating and Programming Instruction for System Integrators, Version: KSS 8.3 SI V4, Augsburg: KUKA Roboter GmbH.
Landscheidt, S., and Kans, M. (2016). Method for assessing the total cost of ownership of industrial robots. Procedia CIRP, 57, 746–751.
Leng, J., Sha, W., Wang, B., Zheng, P., Zhuang, C., Liu, Q., Wuest, T., Mourtzis, D., and Wang, L. (2022). Industry 5.0: Prospect and retrospect. Journal of Manufacturing Systems, 65, 279–295.
Leyh, C., Martin, S., and Schäffer, T. (2017). Industry 4.0 and lean production—a matching relationship? an analysis of selected industry 4.0 models. In Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, pp. 989–993. Prague, Czech Republic.
Li, B., and Liu, C. (2019). Design and simulation of paper roll packaging workstation based on RobotStudio. In Proceedings of the 2019 International Conference on Big Data, Electronics and Communication Engineering (BDECE 2019), pp. 59–62. Beijing, China.
Maddikunta, P. K. R., Pham, Q.-V., Prabadevi, B., Deepa, N., Dev, K., Gadekallu, T. R., Ruby, R., and Liyanage, M. (2022). Industry 5.0: A survey on enabling technologies and potential applications. Journal of Industrial Information Integration, 26, 100257.
Maiolino, P., Woolley, R., Branson, D., Benardos, P., Popov, A., and Ratchev, S. (2017). Flexible robot sealant dispensing cell using RGB-D sensor and off-line programming. Robotics and Computer-Integrated Manufacturing, 48, 188–195.
Maisiri, W., Darwish, H., and van Dyk, L. (2019). An investigation of industry 4.0 skills requirements. South African Journal of Industrial Engineering, 30(3), 90–105.
Mocan, B., and Fulea, M. (2011). Offline programming of robotic arc welding systems. Acta Technica Napocensis - Series: Applied Mathematics, Mechanics, and Engineering, 54(1), 173–178.
Noamna, S., Thongphun, T., and Kongjit, C. (2022). Transformer production improvement by lean and MTM-2 technique. ASEAN Engineering Journal, 12(2), 29–35.
Patsavellas, J., and Salonitis, K. (2019). The carbon footprint of manufacturing digitalization: Critical literature review and future research agenda. Procedia CIRP, 81, 1354–1359.
Phongthiya, T., Kasemset, C., Poomsuk, S., and Lertcharoenpaisan, W. (2021). Application of simulation technique in improvement of intra-hospital patient transfer: A provincial hospital center in northern Thailand. In Proceedings of the 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 314–318. Singapore, Singapore.
Qin, S. (2022). Robot automatic spraying of propeller blade virtual workstation. In Proceedings of the 2nd International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology, pp. 673–676. Guilin, China.
Quenehen, A., Pocachard, J., Klement, N., Roucoules, L., and Gibaru, O. (2021). Lean techniques application towards efficient collaborative robot integration: An experimental study. Production, 31, e20190160.
Rekha, R. S., Periyasamy, P., and Nallusamy, S. (2016). Lean tools implementation for lead time reduction in CNC shop floor of an automotive component manufacturing industry. Indian Journal of Science and Technology, 9(45), 1–6.
Seif, J., and Rabbani, M. (2014). Component based life cycle costing in replacement decisions. Journal of Quality in Maintenance Engineering, 20(4), 436–452.
Shah, R., and Ward, P. T. (2003). Lean manufacturing: Context, practice bundles, and performance. Journal of Operations Management, 21(2), 129–149.
Shan, H. Y., Li, L. N., Yuan, Y., and Wang, C. (2018). Simulation and optimization of production line in em-plant based assembly workshop. In Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 1381–1385. Bangkok, Thailand.
Shen, W. (2020). Research on virtual simulation design of ABB robot welding operation based on RobotStudio. In Proceedings of the 2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA), pp. 894–897. Dalian, China.
Sordan, J. E., Oprime, P. C., Pimenta, M. L., Lombardi, F., and Chiabert, P. (2022). Symbiotic relationship between robotics and lean manufacturing: A case study involving line balancing. The TQM Journal, 34(5), 1076–1095.
Stuja, K., Katalinic, B., Aburaia, M., and Pajaziti, A. (2021). Design of a robot application with regard to energy efficiency. In Proceedings of the 32nd DAAAM International Symposium on Intelligent Manufacturing and Automation (Katalinic, B., Ed.), pp. 0033–0039. Vienna, Austria.
Supsomboon, S., and Varodhomwathana, T. (2017). Robot and plant simulation for automotive part production process design: A case study. International Journal of Simulation Modelling, 16(4), 617–629.
Varodhomwathana, T., and Subsomboon, S. (2014). Production process design for automotive part with the application of lean manufacturing and computer simulation. In Proceedings of the International Conference on Innovative Engineering Technologies (ICIET’2014), pp. 37–41. Bangkok, Thailand.
Vidal, L. F. R., and Ogorodnikova, O. (2021). Planning and design of robotic production. MATEC Web of Conferences, 346, 03045.
Vigier, K. (2022). Virtual commissioning: From virtual to reality, with RobotStudio® AR viewer, there is only one step. In Proceedings of ISR Europe 2022; 54th International Symposium on Robotics, pp. 123–128. Munich, Germany.
Wallén, J. (2008). The History of The Industrial Robot (Technical reports no. LiTH-ISY-R-2853), Linköping: Linköping University Electronic Press.
Wang, J., and Liu, H. (2019). Design and algorithm of multi-robot cooperative welding and assembling workstation based on RobotStudio. In Proceedings of the 2019 International Conference on Robots & Intelligent System (ICRIS), pp. 14–17. Haikou, China.
Wu, Z., Wang, H., Zhang, Y., and Ai, M. (2021). ABB robot data collection based on dynamic link library. Journal of Physics: Conference Series, 2113(1), 012077.
Xu, X., Lu, Y., Vogel-Heuser, B., and Wang, L. (2021). Industry 4.0 and industry 5.0—inception, conception and perception. Journal of Manufacturing Systems, 61, 530–535.
