Abstract
In view of the limitations of classical TRIZ theory in dealing with multi-conflict problems in complex technical systems, it is difficult to resolve multi-conflict problems quickly and effectively. The quantitative construction algorithm of multi-conflict problem network based on extension theory is introduced, so as to establish the hierarchical analysis structure of multi-conflict problems, to dig the essential relation between multi-conflict problems, and to quantitatively calculate the correlation degree of multi-conflict problems. On this basis, cluster analysis is carried out to classify conflict groups, in which conflicts belonging to different groups are solved in parallel way. Based on AHP, the serial resolution priority of multi-conflict problem in the same group is determined. Thus, the optimization solution path planning of multi-conflict problem network with unified series and parallel is completed, and the solution is completed by combining with relevant tools of TRIZ theory. In the end, the multi-conflict problem resolution process model of complex technical system is established, which provides necessary theoretical guidance and technical support for relevant research and engineering practice. The validity of the model is verified by the research on the no-avoidance stereo garage.
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Terninko, J., Zusman, A., Zlotin, B.: Systematic Innovation: An Introduction to TRIZ (Theory of Inventive Problem Solving). CRC Press, Boca Raton (1998)
Fiorineschi, L., Frillici, F.S., Rissone, P.: A comparison of classical TRIZ and OTSM-TRIZ in dealing with complex problems. Procedia Eng. 131, 86–94 (2015)
Khomenko, N., Ashtiani, M.: Classical TRIZ and OTSM as a Scientific Theoretical Background for Non-Typical Problem Solving Instruments. ETRIA Future, Frankfurt (2007)
Han, B., Zhang, J.H., Liu, K.C., et al.: A pyramidal model for initial problem situation analysis process. In: 2014 IEEE International Conference on Management of Innovation and Technology, pp. 436–441. IEEE (2014)
Czinki, A., Hentschel, C.: Solving complex problems and TRIZ. Procedia CIRP 39, 27–32 (2016)
Zhang, C., Yang, F., Ren, G.: Research on a rapid multi-contradictions problem solving method and its program design for TRIZ. J. Mach. Des. 31(10), 8–12 (2014)
Zhou, J., Gui, F., Zhao, Y., et al.: Model and application of product conflict problem with integrated TRIZ and Extenics for low-carbon design. Procedia Comput. Sci. 122, 384–391 (2017)
Zhang, J., Liang, R., Han, B., et al.: The problem flow network building and solving process model for complex product. J. Mech. Eng. 54(23), 160–173 (2018)
Khomenko, N., Guio, R.: OTSM network of problems for representing and analysing problem situations with computer support. In: IFIP International Federation for Information Processing, pp. 77–88 (2007)
Wen, C.A.I., Chunyan, Y.A.N.G.: The basic theory and method system of extenics. Chin. Sci. Bull. 58(13), 1190–1199 (2013)
Dweiri, F., Kumar, S., Khan, S.A., et al.: Designing an integrated AHP based decision support system for supplier selection in automotive industry. Expert Syst. Appl. 62, 273–283 (2016)
Zadeh, L.A.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965)
Franek, J., Kresta, A.: Judgment scales and consistency measure in AHP. Procedia Econ. Financ. 12, 164–173 (2014)
Zhang, J., Zhao, R., et al.: A new type of no-avoidance stereo garage, China, CN108487723A, 04 September 2018
Acknowledgment
The research is supported in part by the National Innovation Method Fund, China (No. 2018IM040300).
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Zhao, R., Zhang, J., Zhang, X., Wang, X., Wang, C., Zhang, W. (2020). Multi-conflict Problem Resolution Process Model of Complex Technical System. In: Cavallucci, D., Brad, S., Livotov, P. (eds) Systematic Complex Problem Solving in the Age of Digitalization and Open Innovation. TFC 2020. IFIP Advances in Information and Communication Technology, vol 597. Springer, Cham. https://doi.org/10.1007/978-3-030-61295-5_28
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DOI: https://doi.org/10.1007/978-3-030-61295-5_28
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