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INFORMATION FLOW ANALYSIS ENABLING THE INTRODUCTION OF ADDITIVE MANUFACTURING FOR PRODUCTION TOOLS-INSIGHTS FROM AN INDUSTRIAL CASE

Published online by Cambridge University Press:  19 June 2023

Tina Hajali ,
Adam Mallalieu ,
Arindam Brahma ,
Massimo Panarotto ,
Ola Isaksson ,
Lina Stålberg  and
Johan Malmqvist
Tina Hajali*
Affiliation:
Chalmers University of Technology;
Adam Mallalieu
Affiliation:
Chalmers University of Technology;
Arindam Brahma
Affiliation:
Chalmers University of Technology;
Massimo Panarotto
Affiliation:
Chalmers University of Technology;
Ola Isaksson
Affiliation:
Chalmers University of Technology;
Lina Stålberg
Affiliation:
Mälardalen University
Johan Malmqvist
Affiliation:
Chalmers University of Technology;
*
Hajali, Tina, Chalmers University of Technology, Sweden, [email protected]

Abstract

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Additive Manufacturing (AM) has traditionally been used for prototyping of products, however, in the last few decades, it has seen a rising growth in the manufacture of final products. The addition of AM as a manufacturing method in the portfolio of a company's production capabilities increases the complexity of decision-making. This is because the decisions are often not based on the same criteria and constraints, as related to conventional manufacturing processes. In this paper, we investigate this challenge by studying how AM affects the current workflow and the associated information flow for a design-make process in a Swedish manufacturer before and after the integration of AM. In this paper, it is argued that apart from an understanding of how to design for AM, it is equally important to consider how introducing AM alters the existing information flow and how to benefit from information available in various design-make process steps to facilitate decision making process. The result clarifies that the current process relies largely on tacit and experiences-based knowledge, whereas to take advantage of AM, more precision is required to capture and process the available information.

Keywords

Additive ManufacturingIndustialisationInformation managementDecision making
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 2315 - 2324
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

References

Ballor, G. (2022), “CE Marking, Business, and European Market Integration”, Business History Review, Vol. 96 No. 1, pp. 77–108, https://dx.doi.org/10.1017/S0007680521000696.CrossRefGoogle Scholar
Belkadi, F., Vidal, L.M., Bernard, A., Pei, E. and Sanfilippo, E.M. (2018), “Towards an Unified Additive Manufacturing Product-Process Model for Digital Chain Management Purpose”, Procedia CIRP, Elsevier B.V., Vol. 70, pp. 428–433, https://dx.doi.org/10.1016/j.procir.2018.03.146.CrossRefGoogle Scholar
Birtchnell, T. and Urry, J. (2016), A New Industrial Future? 3D Printing and the Reconfiguring of Production, Distribution, and Consumption, Routledge, London.CrossRefGoogle Scholar
Blessing, L.T.M. and Chakrabarti, A. (2009), DRM, a Design Research Methodology, Springer LondonCrossRefGoogle Scholar
Bonham, E., McMaster, K., Thomson, E., Panarotto, M., Müller, J.R., Isaksson, O. and Johansson, E. (2020), “Designing and integrating a digital thread system for customized additive manufacturing in multi-partner kayak production”, Systems, Vol. 8 No. 4, pp. 1–17, https://dx.doi.org/10.3390/systems8040043.CrossRefGoogle Scholar
Borgue, O., Müller, J., Leicht, A., Panarotto, M. and Isaksson, O. (2019), “Constraint Replacement-Based Design for Additive Manufacturing of Satellite Components: Ensuring Design Manufacturability through Tailored Test Artefacts”, Aerospace, https://dx.doi.org/10.3390/aerospace6110124.CrossRefGoogle Scholar
Diegel, O., Nordin, A. and Motte, D. (2019), A Practical Guide to Design for Additive Manufacturing, Springer Singapore.CrossRefGoogle Scholar
Ford, S. and Despeisse, M. (2016), “Additive manufacturing and sustainability: an exploratory study of the advantages and challenges”, Journal of Cleaner Production, Vol. 137, pp. 1573–1587, https://dx.doi.org/10.1016/j.jclepro.2016.04.150.CrossRefGoogle Scholar
Kim, D.B., Witherell, P., Lipman, R. and Feng, S.C. (2015), “Streamlining the additive manufacturing digital spectrum: A systems approach”, Additive Manufacturing, Elsevier B.V., Vol. 5, pp. 20–30.Google Scholar
Mallalieu, A., Hajali, T., Isaksson, O. and Panarotto, M. (2022), “The Role of Digital Infrastructure for the Industrialisation of Design for Additive Manufacturing”, Proceedings of the Design Society, Vol. 2, pp. 1401–1410, https://dx.doi.org/10.1017/pds.2022.142.CrossRefGoogle Scholar
Mellor, S., Hao, L. and Zhang, D. (2014), “Additive manufacturing: A framework for implementation”, Production Economics, Vol. 149, pp. 194–201, https://dx.doi.org/10.1016/j.ijpe.2013.07.008.CrossRefGoogle Scholar
Mies, D., Marsden, W. and Warde, S. (2016), “Overview of Additive Manufacturing Informatics: ‘A Digital Thread’”, Integrating Materials and Manufacturing Innovation, Vol. 5 No. 1, pp. 114–142, https://dx.doi.org/10.1186/s40192-016-0050-7.CrossRefGoogle Scholar
Oettmeier, K. and Hofmann, E. (2016), “Impact of additive manufacturing technology adoption on supply chain management processes and components”, Journal of Manufacturing Technology Management, Vol. 27 No. 7, pp. 944–968, https://dx.doi.org/10.1108/JMTM-12-2015-0113.CrossRefGoogle Scholar
Page, T.D., Yang, S. and Zhao, Y.F. (2019), “Automated candidate detection for additive manufacturing: A framework proposal”, Proceedings of the International Conference on Engineering Design, ICED, Vol. 2019-Augus No. August, pp. 679–688, https://dx.doi.org/10.1017/dsi.2019.72.CrossRefGoogle Scholar
Panfili, G. (2019), “Industrialisation and Field Experience of Gas Turbine Components Made By Additive Manufacturing”, Gas Turbines for Energy Network Symposium, No. October.Google Scholar
Presley, A. and Liles, D.H. (1995), “Use of IDEF0 for the design and specification of methodologies”, Industrial Engineering Research - Conference Proceedings, No. October 1998, pp. 442–448.Google Scholar
Rylands, B., Böhme, T., Gorkin, R. III, Fan, J. and Birtchnell, T. (2016), “The adoption process and impact of additive manufacturing on manufacturing systems”, Journal of Manufacturing Technology Management, Vol. 27 No. 7, pp. 969–989, https://dx.doi.org/10.1108/JMTM-12-2015-0117CrossRefGoogle Scholar
Thompson, M.K., Moroni, G., Vaneker, T., Fadel, G., Campbell, R.I., Gibson, I., Bernard, A., et al. (2016), “Design for Additive Manufacturing: Trends, opportunities, considerations, and constraints”, CIRP Annals - Manufacturing Technology, Vol. 65 No. 2, pp. 737–760, https://dx.doi.org/10.1016/j.cirp.2016.05.004.CrossRefGoogle Scholar
Tian, X., Wu, L., Gu, D., Yuan, S., Zhao, Y., Li, X., Ouyang, L., et al. (2022), “Roadmap for Additive Manufacturing: Toward Intellectualization and Industrialization”, Chinese Journal of Mechanical Engineering: Additive Manufacturing Frontiers, Elsevier Ltd, Vol. 1 No. 1, p. 100014, https://dx.doi.org/10.1016/j.cjmeam.2022.100014.Google Scholar
Wang, Y. and Blache, R. (2017), “Selection of additive manufacturing processes”, Rapid Prototyping Journal, Vol. 2 No. June 2016, pp. 434–447, https://dx.doi.org/10.1108/RPJ-09-2015-0123.CrossRefGoogle Scholar