Abstract
Initial Analysis of a complex situation is one of the most vital phase in inventive design. To ensure an exhaustive and formal method to draw a knowledge representation model, a problem-graph is proposed. However, one of the criticisms often leveled is that the application of these methods is time-consuming. For this reason, the Inverse Problem Graph method was introduced to increase the agility of the inventive design process through the beginning of the problem formulation from an initial problem, located in the lower level of a problem situation. Nevertheless, the way designers should select the most important initial problem among the others is not treated. The purpose of this article is to integrate a Failure Mode Effect Analysis (FMEA) based method into the IPG method in order to prioritize the initial problems in the initial analysis phase. The capability of the proposal is finally tested through its application in a case study.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Cohen, M.A., Eliasberg, J., Ho, T.-H.: New product development: the performance and time-to-market tradeoff. Manag. Sci. 42(2), 173–186 (1996). https://doi.org/10.1287/mnsc.42.2.173
Sheu, D.D., Lee, H.-K.: A proposed classification and process of systematic innovation. Int. J. Syst. Innov. 1(1), 20 (2010)
Cavallucci, D.: Designing the inventive way in the innovation era. In: Chakrabarti, A., Blessing, L.T.M. (eds.) An Anthology of Theories and Models of Design, pp. 237–262. Springer, London (2014). https://doi.org/10.1007/978-1-4471-6338-1_12
Chibane, H., Dubois, S., De Guio, R.: Innovation beyond optimization: application to cutting tool design. Comput. Ind. Eng. 154, 107139 (2021). https://doi.org/10.1016/j.cie.2021.107139.
Hanifi, M., Chibane, H., Houssin, R., Cavallucci, D.: Contribution to TRIZ in combining lean and inventive design method. In: Cavallucci, D., Brad, S., Livotov, P. (eds.) TFC 2020. IAICT, vol. 597, pp. 280–291. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-61295-5_23
Hanifi, M., Chibane, H., Houssin, R., Cavallucci, D.: A method to formulate problem in initial analysis of inventive design. In: Nyffenegger, F., RÃos, J., Rivest, L., Bouras, A. (eds.) PLM 2020. IFIP Advances in Information and Communication Technology, vol. 594, pp. 311–323. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-62807-9_25
Hanifi, M., Chibane, H., Houssin, R., Cavallucci, D.: Improving inventive design methodology’s agility. In: Benmoussa, R., DeGuio, R., Dubois, S., Koziołek, S. (eds.) TFC 2019. IAICT, vol. 572, pp. 216–227. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-32497-1_18
Rhee, S.J., Ishii, K.: Using cost based FMEA to enhance reliability and serviceability. Adv. Eng. Inform. 17(3–4), 179–188 (2003). https://doi.org/10.1016/j.aei.2004.07.002
Liu, H.-C., Wang, L.-E., Li, Z., Hu, Y.-P.: Improving risk evaluation in FMEA with cloud model and hierarchical TOPSIS method. IEEE Trans. Fuzzy Syst. 27(1), 84–95 (2019). https://doi.org/10.1109/TFUZZ.2018.2861719
Wang, W.: A risk evaluation and prioritization method for FMEA with prospect theory and Choquet integral. Saf. Sci. 12, 152–163 (2018)
Ng, W.C., Teh, S.Y., Low, H.C., Teoh, P.C.: The integration of FMEA with other problem solving tools: a review of enhancement opportunities. J. Phys. Conf. Ser. 890, 012139 (2017). https://doi.org/10.1088/1742-6596/890/1/012139.
Regazzoni, D., Russo, D.: TRIZ tools to enhance risk management. Procedia Eng. 9, 40–51 (2011). https://doi.org/10.1016/j.proeng.2011.03.099
Mzougui, I., Felsoufi, Z.E.: Proposition of a modified FMEA to improve reliability of product. Procedia CIRP 84, 1003–1009 (2019). https://doi.org/10.1016/j.procir.2019.04.315
Spreafico, C., Russo, D.: Case: can TRIZ functional analysis improve FMEA? In: Chechurin, L., Collan, M. (eds.) Advances in Systematic Creativity, pp. 87–100. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-78075-7
Hakim, M.H., Singgih, M.L.: Reduction defect in sewing work stations by integrating OTSM-TRIZ and FMEA. IPTEK J. Proc. Ser. 0(5), 495 (2019). https://doi.org/10.12962/j23546026.y2019i5.6411
Sawhney, R., Subburaman, K., Sonntag, C., Rao Venkateswara Rao, P., Capizzi, C.: A modified FMEA approach to enhance reliability of lean systems. Int. J. Qual. Reliab. Manag. 27(7), 832–855 (2010). https://doi.org/10.1108/02656711011062417
Ciani, L., Guidi, G., Patrizi, G.: A critical comparison of alternative risk priority numbers in failure modes, effects, and criticality analysis. IEEE Access 7, 92398–92409 (2019). https://doi.org/10.1109/ACCESS.2019.2928120
Lo, H.-W., Liou, J.J.H.: A novel multiple-criteria decision-making-based FMEA model for risk assessment. Appl. Soft Comput. 73, 684–696 (2018). https://doi.org/10.1016/j.asoc.2018.09.020
Wang, Y.-M., Liu, J., Elhag, T.M.S.: An integrated AHP–DEA methodology for bridge risk assessment q. Ind. Eng., 13 (2008)
Saaty, T.L.: Decision making — the analytic hierarchy and network processes (AHP/ANP). J. Syst. Sci. Syst. Eng. 13(1), 1–35 (2004). https://doi.org/10.1007/s11518-006-0151-5
Mahmoodzadeh, S., Shahrabi, J., Pariazar, M., Zaeri, M.S.: Project Selection by Using Fuzzy AHP and TOPSIS Technique, p. 6 (2007)
Dağdeviren, M.: Decision making in equipment selection: an integrated approach with AHP and PROMETHEE. J. Intell. Manuf. 19(4), 397–406 (2008). https://doi.org/10.1007/s10845-008-0091-7
Deng, X., Hu, Y., Deng, Y., Mahadevan, S.: Supplier selection using AHP methodology extended by D numbers. Expert Syst. Appl. 41(1), 156–167 (2014). https://doi.org/10.1016/j.eswa.2013.07.018
Onut, S., Soner, S.: Transshipment site selection using the AHP and TOPSIS approaches under fuzzy environment. Waste Manag. 28(9), 1552–1559 (2008)
Wang, Z., Ran, Y., Chen, Y., Yu, H., Zhang, G.: Failure mode and effects analysis using extended matter-element model and AHP. Comput. Ind. Eng. 140, 106233 (2020). https://doi.org/10.1016/j.cie.2019.106233
Khomenko, N., De Guio, R.: OTSM Network of Problems for representing and analysing problem situations with computer support. In: León-Rovira, N. (ed.) CAI 2007. ITIFIP, vol. 250, pp. 77–88. Springer, Boston, MA (2007). https://doi.org/10.1007/978-0-387-75456-7_8
Hanifi, M., Chibane, H., Houssin, R., Cavallucci, D.: IPG as a new method to improve the agility of the initial analysis of the inventive design. FME Trans. 49(3), 549–562 (2021)
Khomenko, N., De Guio, R., Lelait, L., Kaikov, I.: A framework for OTSM? TRIZ-based computer support to be used in complex problem management. Int. J. Comput. Appl. Technol. 30(1–2), 88–104 (2007)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 IFIP International Federation for Information Processing
About this paper
Cite this paper
Hanifi, M., Chibane, H., Houssin, R., Cavallucci, D. (2021). Application of an FMEA Based Method to Prioritize the Initial Problem Choices in Inventive Design. In: Borgianni, Y., Brad, S., Cavallucci, D., Livotov, P. (eds) Creative Solutions for a Sustainable Development. TFC 2021. IFIP Advances in Information and Communication Technology, vol 635. Springer, Cham. https://doi.org/10.1007/978-3-030-86614-3_19
Download citation
DOI: https://doi.org/10.1007/978-3-030-86614-3_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-86613-6
Online ISBN: 978-3-030-86614-3
eBook Packages: Computer ScienceComputer Science (R0)