Design for Six Sigma (DFSS) for additive manufacturing applied to an innovative multifunctional fan

  • Alfredo Liverani
  • Gianni Caligiana
  • Leonardo FrizzieroEmail author
  • Daniela Francia
  • Giampiero Donnici
  • Karim Dhaimini
Original Paper


In an increasing number of aggressive enterprise world, “time to market” concerning products has come to be a solution element because of enterprise success. There are exceptional techniques so expect layout mistakes or open products concerning the need between much less time. Among the most used methodologies in the design and setting about stability the requirements, Quality Function Deployment (QFD) and Design for Six Sigma (DFSS) execute remain used. In the prototyping phase, such is feasible in imitation of tackle the rising science regarding additive manufacturing. Today, three-dimensional stamping is in the meanwhile used as a rapid prototyping technique. However, the actual challenge that enterprise is going through is the use of these machineries for large-scale production about parts, at last viable along current HP Multi fusion. The aim of this article is to study the interactive design and engineering applied to the entire product development process taking advantage of the most modern models and technologies for the final realization of a case study that involves the design and prototyping of an innovative multifunctional fan (Lamp, Aroma Diffuser and fan) through the Multi Jet Fusion of HP. To begin with, issues related to the DFSS, the QFD and their application to identify the fan requirements are explored. Once the requirements have been defined, the modern CAD design systems and the CAE systems for the validation of the case study will be analyzed and applied. Finally, HP’s Multi Jet Fusion methodology and design rules for additive manufacturing will be analyzed in detail, trying to exploit all the positive aspects it offers.


QFD Design for Six Sigma Design for additive manufacturing Multi jet fusion FEA CAD CAE Rapid prototyping Product development 



  1. 1.
    Freddi, A.: Imparare a progettare, Principi e metodi del progetto concettuale per lo sviluppo della creatività industriale. Pitagora, ISBN 88-371-1512-1 (2005)Google Scholar
  2. 2.
    Gibson, I., Rosen, D.W., Stucker, B.: Additive Manufacturing Technologies: Rapid Prototyping to Direct Digital Manufacturing, p. 459. Springer, New York (2010)CrossRefGoogle Scholar
  3. 3.
    Schilling, M.A.: Strategic Management of Technological Innovation, p. 629. McGraw-Hill Education, Bologna (2010)Google Scholar
  4. 4.
    Grandi, A.: Gestione dei progetti d’innovazione. McGraw-Hill Education, Bologna (2017)Google Scholar
  5. 5.
    Filippini, R., Ulrich, K.T., Eppinger, S.D.: Progettazione e sviluppo prodotto. McGraw-Hill Education, Bologna (2007)Google Scholar
  6. 6.
    De Cesari, C., Metodologies of six sigma and DFSS, Academic internship report at the department of industrial engineering, Alma Mater Studiorum University of Bologna, 2018Google Scholar
  7. 7.
    Vaneker, T.H.J.: The Role of Design for Additive Manufacturing in the Successful Economical Introduction of AM. University of Twente, Enschede (2017)CrossRefGoogle Scholar
  8. 8.
    Baril, C., Yacout, S., Clément, B.: Design for Six Sigma Through Collaborative Multi Objective Optimization. Department of Industrial Engineering, Université du Québec à Trois-Rivières, 3351 Boulevard des Forges, Trois-Rivières. Journal Computers and Industrial Engineering archive 60(1), 43–55 (2011)CrossRefGoogle Scholar
  9. 9.
    Tao, W, Leu, M.C.: Design of lattice structure for additive manufacturing, Conference: 2016 International Symposium on Flexible Automation (ISFA) (2016).
  10. 10.
    Chirone, E., Tornincasa, S.: Disegno Tecnico Industriale 1. Il Capitello, Torino (2011)Google Scholar
  11. 11.
    Ogawa, S., Piller, F.: Reducing the risks of new product development. In: MIT Sloan Managment Review-Winter’06 (2006)Google Scholar
  12. 12.
    de Frutos, G.M.: Thesis to Obtain the Master of Science Degree in Materials Engineering. Product Development Process for Additive Manufacturing. Universidad Tecnica de LisbonaGoogle Scholar
  13. 13.
  14. 14.
  15. 15.
    Ghezzo, F., Giannini, G., Cesari, F., Caligiana, G.: Numerical and experimental analysis of the interaction between two notches in carbon fibre laminates. Compos. Sci. Technol. 68, 1057–1072 (2008). CrossRefGoogle Scholar
  16. 16.
    Caligiana, G., Liverani, A., Francia, D., Frizziero, L., Donnici, G.: Integrating QFD and TRIZ for innovative design. J. Adv. Mech. Des. Syst. Manuf. 11(2), JAMDSM0015 (2017)CrossRefGoogle Scholar
  17. 17.
    Francia, D., Caligiana, G., Liverani, A., Frizziero, L., Donnici, G.: PrinterCAD: a QFD and TRIZ integrated design solution for large size open moulding manufacturing. Int. J. Interact. Des. Manuf. 12(1), 81–94 (2018)CrossRefGoogle Scholar
  18. 18.
    de Amicis, R., Ceruti, A., Francia, D., Frizziero, L., Simoes, B.: Augmented Reality for virtual user manual. Int. J. Interact. Des. Manuf. 12(2), 689–697 (2018)CrossRefGoogle Scholar
  19. 19.
    Frizziero, L., Francia, D., Donnici, G., Liverani, A., Caligiana, G.: Sustainable design of open molds with QFD and TRIZ combination. J. Ind. Prod. Eng. 35(1), 21–31 (2018)Google Scholar
  20. 20.
    Donnici, G., Frizziero, L., Francia, D., Liverani, A., Caligiana, G.: Increasing innovation of a new transportation means using TRIZ methodology. J. Heat Mass Transf. 15(2), 341–370 (2018)CrossRefGoogle Scholar
  21. 21.
    Donnici, G., Frizziero, L., Francia, D., Liverani, A., Caligiana, G.: Project of inventive ideas through a TRIZ study applied to the analysis of an innovative urban transport means. Int. J. Manuf. Mater. Mech. Eng. 8(4), 1–24 (2018)Google Scholar
  22. 22.
    Donnici, G., Frizziero, L., Francia, D., Liverani, A., Caligiana, G.: TRIZ method for innovation applied to an hoverboard. Cogent Eng. 5(1), 1–24 (2018)CrossRefGoogle Scholar
  23. 23.
    Briand, R., Fischer, X., Arrijuria, O., Terrasson, G.: Multidisciplinary design process based on virtual prototyping for microsystem design. Virtual Phys. Prototyp. 5(3), 153–162 (2010)CrossRefGoogle Scholar
  24. 24.
    Cagin, S., Fischer, X., Delacourt, E., Bouraba, N., Morin, C., Coutellier, D., Carré, B., Loumé, S.: A new reduced model of scavenging to optimize cylinder design(Article). Simulation 92(6), 507–520 (2016)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag France SAS, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Industrial EngineeringAlma Mater Studiorum University of BolognaBolognaItaly

Personalised recommendations