Abstract
Potential AM adopters can recognize the suitability of AM technology to their circumstance through the analysis provided in pervious chapter. This chapter discusses the technology selection and implementation processes. It begins with an analysis of the technology and then attempts to depict the future of AM technology. It describes the future possible beneficiaries of this technology and introduces the process for AM technology selection. It presents appropriate selection criteria and proposes a process for selecting a system from among the different manufacturing technologies available as well as selecting from different AM technologies. The chapter goes on to describe the implementation process for AM technologies in an organization. A detailed discussion on the changes required in an organization, its operations and supply chains is provided. As for the operational changes, the chapter analyzes the design process, production planning and control, quality control , and the role of the Internet of Things (IoT) in implementation.
References
Armillotta, A. (2008). Selection of layered manufacturing techniques by an adaptive AHP decision model. Robotics and Computer-Integrated Manufacturing, 24(3), 450–461.
Baumers, M., Tuck, C., Wildman, R., Ashcroft, I., Rosamond, E., & Hague, R. (2013). Transparency built-in. Journal of Industrial Ecology, 17(3), 418–431.
Byun, H. S., Lee, K. H. (2005). A decision support system for the selection of a rapid prototyping process using the modified TOPSIS method. International Journal of Advanced Manufacturing Technology, 26(11–12), 1338–1347.
Caputo, A., Marzi, G., & Pellegrini, M. M. (2016). The Internet of Things in manufacturing innovation processes: Development and application of a conceptual framework. Business Process Management Journal, 22(2), 383–402.
Chung, C. W., Hong, J., Lee, A., Ramani, K., & Tomovic, M. (2003, January). Methodology for selection of rapid tooling process for manufacturing applications. In ASME 2003 International Mechanical Engineering Congress and Exposition (pp. 23–30). American Society of Mechanical Engineers.
Cotteleer, M., & Joyce, J. (2014). 3D opportunity: Additive manufacturing paths to performance, innovation, and growth. Deloitte Review, 14, 5–19.
Hopkinson, N., & Dicknes, P. (2003). Analysis of rapid manufacturing—Using layer manufacturing processes for production. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 217(1), 31–39.
Holmström, J., Holweg, M., Khajavi, S. H., & Partanen, J. (2016). The direct digital manufacturing (r)evolution: Definition of a research agenda. Operations Management Research, 9(1–2), 1–10.
Jiang, R., Kleer, R., & Piller, F. T. (2017). Predicting the future of additive manufacturing: A Delphi study on economic and societal implications of 3D printing for 2030. Technological Forecasting and Social Change, 117, 84–97.
Kellens, K., Yasa, E., Dewulf, W., & Duflou, J. (2010). Environmental assessment of selective laser melting and selective laser sintering. Going green—Care innovation: From legal compliance to energy-efficient products and services, paper, (2.14), 5.
Kengpol, A., & O’Brien, C. (2001). The development of a decision support tool for the selection of advanced technology to achieve rapid product development. International Journal of Production Economics, 69(2), 177–191.
Khorram Niaki, M., & Nonino, F. (2017a). Additive manufacturing management: A review and future research agenda. International Journal of Production Research, 55(5), 1419–1439.
Khorram Niaki, M., & Nonino, F. (2017b). Impact of additive manufacturing on business competitiveness: A multiple case study. Journal of Manufacturing Technology Management, 28(1), 56–74.
Khrais, S., Al-Hawari, T., & Al-Araidah, O. (2011). A fuzzy logic application for selecting layered manufacturing techniques. Expert Systems with Applications, 38(8), 10286–10291.
Lan, H. (2009). Web-based rapid prototyping and manufacturing systems: A review. Computers in industry, 60(9), 643–656.
Lan, H., Ding, Y., & Hong, J. (2005). Decision support system for rapid prototyping process selection through integration of fuzzy synthetic evaluation and an expert system. International Journal of Production Research, 43(1), 169–194.
Mahapatra, S. S., & Panda, B. N. (2013). Benchmarking of rapid prototyping systems using grey relational analysis. International Journal of Services and Operations Management, 16(4), 460–477.
Masood, S. H., & Soo, A. (2002). A rule based expert system for rapid prototyping system selection. Robotics and Computer-Integrated Manufacturing, 18(3), 267–274.
Mellor, S., Hao, L., & Zhang, D. (2014). Additive manufacturing: A framework for implementation. International Journal of Production Economics, 149, 194–201.
Mognol, P., Lepicart, D., & Perry, N. (2006). Rapid prototyping: Energy and environment in the spotlight. Rapid prototyping journal, 12(1), 26–34.
MunguÃa, J., de Ciurana, J., & Riba, C. (2008). Pursuing successful rapid manufacturing: A users’ best-practices approach. Rapid Prototyping Journal, 14(3), 173–179.
Paul, R., & Anand, S. (2012). Process energy analysis and optimization in selective laser sintering. Journal of manufacturing systems, 31(4), 429–437.
Rao, R. V., & Padmanabhan, K. K. (2007). Rapid prototyping process selection using graph theory and matrix approach. Journal of Materials Processing Technology, 194(1), 81–88.
Roberson, D. A., Espalin, D., & Wicker, R. B. (2013). 3D printer selection: A decision-making evaluation and ranking model. Virtual and Physical Prototyping, 8(3), 201–212.
Schmid, M., & Levy, G. (2014). Quality management and estimation of quality costs for additive manufacturing with SLS. ETH-Zürich.
Small, M. H., & Yasin, M. M. (1997). Advanced manufacturing technology: Implementation policy and performance. Journal of Operations Management, 15(4), 349–370.
Voss, C. A. (1988). Implementation: A key issue in manufacturing technology: The need for a field of study. Research Policy, 17(2), 55–63.
Yang, S., & Zhao, Y. (2015). Additive manufacturing-enabled design theory and methodology: A critical review. International Journal of Advanced Manufacturing Technology, 80.
Xu, X., Meteyer, S., Perry, N., & Zhao, Y. F. (2015). Energy consumption model of Binder-jetting additive manufacturing processes. International Journal of Production Research, 53(23), 7005–7015.
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Khorram Niaki, M., Nonino, F. (2018). Selection and Implementation of Additive Manufacturing. In: The Management of Additive Manufacturing. Springer Series in Advanced Manufacturing. Springer, Cham. https://doi.org/10.1007/978-3-319-56309-1_7
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