Abstract
The integration of manufacturing planning activities into early design decisions is paramount. Manufacturing constraints and opportunities should be investigated early in a product development (PD) stages to launch products successfully. Set-based concurrent engineering (SBCE) paradigm is pronounced in literature and believed to form the foundation of lean thinking in PD. In SBCE, alternative product-subsystems are explored simultaneously and weak design choices are progressively eliminated as more knowledge about manufacturability becomes known. However, there is a methodological gap on how to execute SBCE in practice and integrate manufacturing process planning.
This paper aims at conceptualizing the requirements to start manufacturing planning in the realm of SBCE paradigm. At the same time, the paper proposes a dialogue mechanism through which designers and manufacturing process planners are able to explore and evaluate alternative conceptual designs and process plans in parallel. Moreover, the methodology enables design and process knowledge to be effectively integrated for a better decision making.
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Ward, A., Liker, J.K., Cristiano, J.J., Sobek II, D.K.: The Second Toyota Paradox: How De-laying Decisions Can Make Better Cars Faster. Sloan Management Review 36, 43–61 (1995)
Sobek, D.K., Ward, A.C., Liker, J.K.: Toyota’s Principles of Set-Based Concurrent Engineering. Sloan Management Review 40, 67–83 (1999)
Morgan, J.M., Liker, J.K.: The Toyota Product Development System: Integrating People, Process, and Technology. Productivity Press, New York (2006)
Ward, A.C., Shook, J., Sobek, D.K.: Lean Product and Process Development. The Lean Enterprise Institute, Cambridge, Massachusetts (2007)
Rossi, M., Kerga, E., Taisch, M., Terzi, S.: Proposal of a method to systematically identify wastes in New Product Development Process. In: IEEE Proceeding of the 7th International Conference on Concurrent Enterprise (ICE 2011), Aachen, Germany, June 20-22 (2011)
Rossi, M., Kerga, E., Taisch, M., Terzi, S.: Lean Product Development: Fact Finding Research in Italy. In: International Conference on Industrial Engineering and Systems Management (IESM) Proceedings, Metz (France), May 25-27 (2011)
Ashby, M.F., Bre’chetbt, Y.J.M., Cebona, D., Salvoc, L.: Selection strategies for materials and processes. Journal of Materials and Design 25, 51–67 (2004)
Boothroyd, G., Dewhurst, P., Knight, W.: Product Design for Manufacture and Assembly. Marcel Dekker Inc., New York (1994)
Hassan, A., Siadat, A., Dantan, Y., Martin, P.: Conceptual process planning–an improvement approach using QFD,FMEA, and ABC methods. Int. J. of Robotics and Computer-Integrated Manufacturing 26, 392–401 (2010)
Esawi, A.M.K., Ashby, M.K.: Computer-based selection of manufacturing processes: Methods, software and case studies. J. of Engineering Manufacture 212(8), 595–610 (1998)
Esawi, A.M.K., Ashby, M.K.: Cost estimates to guild pre-selection of process. Mater. Design 24, 605–616 (2004)
Tornberg, K.: Activity-based costing and process modeling for cost-conscious product design: A case study in a manufacturing company. Int. J. of Production Economics 79, 75–82 (2002)
Chin, K.S., Zheng, L.Y., Wei, L.: A hybrid rough-cut process planning for quality. Int. J. Adv. Manuf. Technol. 22, 733–743 (2003)
Ginn, D.M., Jones, D.V., Rahnejat, H., Zairi, M.: The QFD/FMEA interface. Europ. J. Innov. Manage 1(1), 7–20 (1998)
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Kerga, E., Taisch, M., Terzi, S. (2012). Manufacturing Process Planning in Set-Based Concurrent Engineering Paradigm. In: Rivest, L., Bouras, A., Louhichi, B. (eds) Product Lifecycle Management. Towards Knowledge-Rich Enterprises. PLM 2012. IFIP Advances in Information and Communication Technology, vol 388. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35758-9_14
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DOI: https://doi.org/10.1007/978-3-642-35758-9_14
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