Usefulness of digital tools when designing human robot collaboration layouts
Kerstin Johansen, Sten Grahn
Abstract
The introduction of Human-Robot Collaboration assembly (HRC) adds complexity when designing layouts, as e.g. new safety and security issues need to be considered. In this paper, the usefulness of digital tools, such as simulation and emulation tools, to support the transdisciplinary activities in an integrated product and production development process for HRC layouts, is explored. The empirical findings was collected through interactive workshops between industrial experts and researchers, developing and analyzing challenges and needs while using digital tools. The conclusions indicate a need for an understanding of the cost drivers when utilizing digital tools, and how the reuse of digital models and knowledge can reduce development time and cost. This includes understanding of how new versions of digital tools may drive costs. Four important activities while designing a HRC layout, utilizing a digitalized production preparation process, were identified. It was also found that an efficient and reliable assessment method related to different regulations and standards is needed to support the selection and use of digital tools when designing a HRC layout.
Keywords
References
Adnan, M. F., Daud, M. F., Saud, M. S., & Wan Hussin, W. N. (2019). Utilization of contextual knowledge elements in 3D CAD model visualization from the perspectives of practicing engineers. International Journal of Emerging Technologies in Learning, 14(24), 106-120. http://dx.doi.org/10.3991/ijet.v14i24.12137.
Babulak, E., & Wang, M. (2008). Trends in discrete event simulation. In UKSIM European Symposium (pp. 1- 4). USA: IEEE. https://doi.org/10.1109/EMS.2008.107. Bäckstrand, J., & Powell, D.J., (2021). Enhancing supply chain capabilities in an ETO context through “Lean and Learn”. Operations and Supply Chain Management, 14(3), 360-367. http://dx.doi.org/10.31387/oscm0460308
Barosz, P., Gołda, G., & Kampa, A. (2020). Efficiency analysis of manufacturing line with industrial robots and human operators. Applied Sciences (Basel, Switzerland), 10(8), http://dx.doi.org/10.3390/app10082862.
Battini, D., Boysen, N., & Emde, S. (2012). Just-in-time supermarkets for part supply in the automobile industry. Journal of Management Control, 24(2), 209-217. http://dx.doi.org/10.1007/s00187-012-0154-y.
Bishop, D. A. (2018). Key performance indicators: ideation to Creation. IEEE Engineering Management Review, 46(1), 13-15. http://dx.doi.org/10.1109/EMR.2018.2810104.
Boysen, N., Fliedner, M., & Scholl, A. (2009). Sequencing mixed-model assembly lines: Survey, classification and model critique. European Journal of Operational Research, 192, 349-373. http://dx.doi.org/10.1016/j.ejor.2007.09.013.
Brunoe, T. D., Andersen, A.-L., Sorensen, D. G. H., Nielsen, K., & Bejlegaard, M. (2020). Integrated product-process modelling for platform-based co-development. International Journal of Production Research, 58(20), 6185-6201. http://dx.doi.org/10.1080/00207543.2019.1671628.
Caggiano, A., & Teti, R. (2018). Digital factory technologies for robotic automation and enhanced manufacturing cell design. Cogent Engineering, 5, 1426676. http://dx.doi.org/10.1080/23311916.2018.1426676.
Flores-Garcia, E., Bruch, J., Wiktorsson, M., & Jackson, M. (2021). Decision-making approaches in process innovations: an explorative case study. Journal of Manufacturing Technology Management, 32(9), 1-25. http://dx.doi.org/10.1108/JMTM-03-2019- 0087.
Gedell, S., Michaelis, M. T., & Johannesson, H. (2011). Integrated model for co-development of products and production systems – a systems theory approach. Concurrent Engineering, Research and Applications, 19(2), 139-156. http://dx.doi.org/10.1177/1063293X11406751.
Genta, G., Galetto, M., & Franceschini, F. (2018). Product complexity and design of inspection strategies for assembly manufacturing processes. International Journal of Production Research, 56(11), 4056-4066. http://dx.doi.org/10.1080/00207543.2018.1430907.
Gopinath, V., & Johansen, K. (2016). Risk assessment process for collaborative assembly – a job safety analysis approach. Procedia CIRP, 44, 199-203. http://dx.doi.org/10.1016/j.procir.2016.02.334.
Gopinath, V., & Johansen, K. (2019). Understanding situational and mode awareness for safe human-robot collaboration: case studies on assembly applications. Production Engineering, 13, 1-9. http://dx.doi.org/10.1007/s11740-018-0868-2.
Grahn, S. (2022). Conceptual integration of digitalization and servitization as means to introduce the circular economy. In Ng, A.H.C., Syberfeldt, A., Högberg, D., Holm, M. (Eds.), Advances in transdisciplinary engineering (Vol. 21: SPS2022, pp. 304-315). Amsterdã: IOS Press. https://doi.org/10.3233/ATDE220149.
Grahn, S., Johansen, K., & Eriksson, Y. (2017). Safety assessment strategy for collaborative robot installations. In H. Canbolat (Ed.), Robots operating in hazardous environments. (Chapter 5). London: InTech. https://doi.org/10.5772/intechopen.69375.
Hibino, H., Sakuma, T., & Yamaguchi, M. (2014). Manufacturing system simulation for evaluation for productivity and energy consumption. Journal of Advanced Mechanical Design, Systems and Manufacturing, 8(2), 1-13. http://dx.doi.org/10.1299/jamdsm.2014jamdsm0014.
Jayaram, J., Das, A., & Nicolae, M. (2010). Looking beyond the obvious: unraveling the Toyota production system. International Journal of Production Economics, 128(1), 280-291. http://dx.doi.org/10.1016/J.IJPE.2010.07.024.
Johansen, K., & Grahn, S. (2022). Digital tools for supporting production preparation: reflections related to designing human robot collaboration layouts, In: B.R. Moser, P. Koomsap, & J. Stjepandić (Eds.), Transdisciplinarity and the future of engineering (Advances in Transdisciplinary Engineering, Vol. 28, pp. 301-309). Amsterdã: IOS Press. https://doi.org/10.3233/ATDE220659.
Johansen, K., & Öhrwall Rönnbäck, A. (2021). Small automation technology solution providers: facilitators for sustainable manufacturing. Procedia CIRP, 104(1), 677-682. http://dx.doi.org/10.1016/j.procir.2021.11.114.
Johansen, K., Rao, S., & Ashourpour, M. (2021). The role of automation in complexities of high-mix in low-volume production – a literature review. Procedia CIRP, 104(8), 1452-1457. http://dx.doi.org/10.1016/j.procir.2021.11.245.
Malik, A. A., & Bilberg, A. (2019). Human centered lean automation in assembly. Procedia CIRP, 81, 659-664. http://dx.doi.org/10.1016/j.procir.2019.03.172.
Mariotti, F. (2012). Exploring interorganizational learning: a review of the literature and future directions. Knowledge and Process Management, 19(4), 215-221. http://dx.doi.org/10.1002/kpm.1395.
Marvel, J. A., Falco, J., & Marstio, I. (2015). Characterizing task-based human-robot collaboration safety in manufacturing. IEEE Transactions on Systems, Man, and Cybernetics, 45(2), 260-275.
Matta, A., Axinte, D., & Walker, I. (2019). Automation technologies for sustainable production [TC Spotlight]. IEEE Robotics & Automation Magazine, 26(1), 98-102.
Paju, M., Johansson, B., Heilala, J., Hentula, M., Heikkilä, A., Leong, S., & Lyons, K. (2010). Framework and indicators for a sustainable manufacturing mapping methodology. In Proceedings of the Winter Simulation Conference (pp. 3411-3422). USA: IEEE. https://doi.org/10.1109/WSC.2010.5679031.
Poot, L., & Johansen, K & Gopinath, V. (2018). Supporting risk assessment of human-robot collaborative production layouts: A proposed design automation framework. Procedia Manufacturing, 25, 543-548. http://dx.doi.org/10.1016/j.promfg.2018.06.119.
Pradhan, S., Rajarajan, K., & Shetty, A. S. (2018). Prototype, emulation, implementation and evaluation of SCARA Robot in industrial environment. Procedia Computer Science, 133, 331-337. http://dx.doi.org/10.1016/j.procs.2018.07.041.
Prajapat, N., Turner, C., Tiwari, A., Tiwari, D., & Hutabarat, W. (2020). Real-time discrete event simulation: a framework for an intelligent expert system approach utilising decision trees. International Journal of Advanced Manufacturing Technology, 110, 2893-2911. http://dx.doi.org/10.1007/s00170-020-06048-5.
Rao, S., Johansen, K., & Ashourpour, M. (2022). Exploring simulation as a tool for evaluation of automation assisted assembly of customized products, In A. L. Andersen, R. Andersen, T. D. Brunoe, M. S. S. Larsen, K. Nielsen, A. Napoleone & S. Kjeldgaard (Eds.), Towards sustainable customization: bridging smart products and manufacturing systems (pp. 1006-1013). Cham: Springer. https://doi.org/10.1007/978-3-030-90700-6_115.
Safavi, E., Wlazlak, P., & Johansen, K. (2021). Aspects on a Digitalized Industrialization Process: Are there Challenges to Overcome? In: L. Newnes, S. Lattanzio, R.M. Bryan, J. Stjepandić, & N. Wognum (Eds.), Advances in Transdisciplinary Engineering 16 (pp. 252-262). Amsterdã: IOS Press. https://doi.org/10.3233/ATDE210104.
Salim, R. (2021). Exploring the content and process of automation decisions in manufacturing system development projects: a study in the Swedish wood products industry [Doctoral Dissertation]. Jönköping University, Sweden. Retrieved in 2023, March 6, from http://www.diva-portal.org/smash/record.jsf?pid=diva2%3A1526707
Shah, R., & Ward, P. T. (2007). Defining and developing measures of lean production. Journal of Operations Management, 25(4), 785-805. http://dx.doi.org/10.1016/j.jom.2007.01.019.
Synnes, E. L., & Welo, T. (2015). Design for automated assembly of large and complex products: experiences from a marine company operating in Norway. Procedia Computer Science, 44, 254-265. http://dx.doi.org/10.1016/j.procs.2015.03.052.
Thoben, K.-D., Wiesner, S., & Wuest, T. (2017). “Industrie 4.0” and smart manufacturing – a review of research issues and application examples. International Journal of Automotive Technology, 11(1), 4-16.
Wadekar, P., Gopinath, V., & Johansen, K. (2018). Safe layout design and evaluation of a human-robot collaborative application cell through risk assessment – a computer aided approach. Procedia Manufacturing, 25, 602-611. http://dx.doi.org/10.1016/j.promfg.2018.06.095.
Wagg, D., Worden, K., Barthorpe, R., & Gardner, P. (2020). Digital twins: state-of-the-art future directions for modelling and simulation in engineering dynamics applications. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering (New York, N.Y.), 6(3), 030901. http://dx.doi.org/10.1115/1.4046739.
White, K. P., & Ingalls, R. G. (2015). Introduction to simulation. In Proceedings of the 2015 Winter Simulation Conference (WSC) (pp. 1741-1755). USA: IEEE. https://doi.org/10.1109/WSC.2015.7408292.
Wibeck, V., Dahlgren, M. A., & Öberg, G. (2007). Learning in focus groups: an analytical dimension for enhancing focus group research. Qualitative Research, 7(2), 249-267. http://dx.doi.org/10.1177/1468794107076023.
Wlazlak, P., Säfsten, K., & Hilletofth, P. (2019). Original equipment manufacturer (OEM)-supplier integration to prepare for production ramp-up. Journal of Manufacturing Technology Management, 30(2), 506-530. http://dx.doi.org/10.1108/JMTM-05- 2018-0156.
Wöhlke, G., & Schiller, E. (2005). Digital planning validation in automotive industry. Computers in Industry, 56, 393-405. http://dx.doi.org/10.1016/j.compind.2005.01.010.
Submitted date:
03/06/2023
Accepted date:
04/26/2023
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