Abstract
In the context of economic globalization, many enterprises will encounter more and more risk barriers in the process of development, from small losses to large failures. Therefore, the importance of enterprise agility is becoming increasingly prominent. Taking enterprise A as an example, this study adopts the combination of quality function deployment and multi-attribute decision-making method (FDM, AHP, DEMATAL and GRA) to establish the house of quality model and carry out quantitative measurement analysis. The empirical results show that in the risk environment, when considering the improvement of enterprise agility, the enhancement of production and sales ability and strategic decision-making can be prioritized, so as to reduce the enterprise key risks.
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References
Braunscheidel, M.J., Suresh, N.C.: The organizational antecedents of a firm’s supply chain agility for risk mitigation and response. J. Oper. Manag. 27(2), 119–140 (2009)
Cano-Olivos, P., Hernández-Zitlalpopoca, R., Sánchez-Partida, D., et al.: Risk analysis of the supply chain of a tools manufacturer in Puebla, Mexico. J. Contingencies Cris. Manag. 27(4), 406–413 (2019)
Badenhorst-Weiss, J.A., Naudé, R.T.: The challenges behind producing a bottle of wine: supply chain risks. J. Trans. Supply Chain Manag. 14(1), 1–15 (2020)
Rao, C., Xiao, X., Goh, M., Zheng, J., Wen, J.: Compound mechanism design of supplier selection based on multi-attribute auction and risk management of supply chain. Comput. Ind. Eng. 105, 63–75 (2017)
Gligor, D., Bozkurt, S., Gölgeci, I., et al.: Does supply chain agility create customer value and satisfaction for loyal B2B business and B2C end-customers? Int. J. Phys. Distrib. Logist. Manag. 50(7/8), 721–743 (2020)
Mandal, S., Saravanan, D.: Exploring the influence of strategic orientations on tourism supply chain agility and resilience: an empirical investigation. Tour. Plan. Dev. 16(6), 612–636 (2019)
Kim M., Chai, S.: The impact of supplier innovativeness, information sharing and strategic sourcing on improving supply chain agility: global supply chain perspective. Int. J. Prod. Econ. 187, 42–52 (2017)
Xu, J., Xu, X., Xie, S.Q.: A comprehensive review on recent developments in quality function deployment. Int. J. Prod. Qual. Manag. 6(4), 457–494 (2010)
Haq, A.N., Boddu, V.: Analysis of enablers for the implementation of leagile supply chain management using an integrated fuzzy QFD approach. J. Intell. Manufact. 28(1), 1–12 (2017)
Fargnoli, M., Haber, N.: A practical ANP-QFD methodology for dealing with requirements’ inner dependency in PSS development-ScienceDirect. Comput. Ind. Eng. 127, 536–548 (2019)
Ocampo, L.A., Labrador, J.J.T., Jumao-As, A.M.B., et al.: Integrated multiphase sustainable product design with a hybrid quality function deployment-multi-attribute decision-making (QFD-MADM) framework. Sustain. Prod. Consump. 24, 62–78 (2020)
Liu, H.T.: Product design and selection using fuzzy QFD and fuzzy MCDM approaches. Appl. Math. Model. 35(1), 482–496 (2011)
Dursun, M., Karsak, E.E.: A QFD-based fuzzy MCDM approach for supplier selection. Appl. Math. Model. 37(8), 5864–5875 (2013)
Li, M., Jin, L., Wang, J.: A new MCDM method combining QFD with TOPSIS for knowledge management system selection from the user’s perspective in intuitionistic fuzzy environment. Appl. Soft Comput. 21, 28–37 (2014)
Song, C., Wang, J.Q., Li, J.B.: New framework for quality function deployment using linguistic Z-numbers. Mathematics 8(2) (2020)
Acknowledgments
This paper was supported by Natural Science Foundation of Fujian Province of China (Grant No. 2019J01790).
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Yu, RY., Hsu, CH., Sun, AC. (2022). Improving Supply Chain Agility to Reduce Enterprise Risk Based on QFD-MADM. In: Zhang, JF., Chen, CM., Chu, SC., Kountchev, R. (eds) Advances in Intelligent Systems and Computing. Smart Innovation, Systems and Technologies, vol 268. Springer, Singapore. https://doi.org/10.1007/978-981-16-8048-9_2
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DOI: https://doi.org/10.1007/978-981-16-8048-9_2
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