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Data-driven customer requirements discernment in the product lifecycle management via intuitionistic fuzzy sets and electroencephalogram

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Abstract

Large amount of data are collected through the product lifecycle management, and the benefits of big data analytics permeate the entire manufacturing value chain. However, the existing methods pay little attention to the analysis of customer requirements data in the beginning of life period. Thus, a data-driven approach for customer requirements discernment is proposed in this paper. It not only manages the vagueness in the semantic expression level using the intuitionistic fuzzy sets, but also adopts the electroencephalogram data as endogenous neural indicators to handle the vagueness in the neurocognitive level. An experimental research integrated with the Kano model is developed to record the EEG data which inherently interpret customers’ psychological states. Benefit from the data mining method, the effect of customer requirements on psychological response can be investigated using the EEG data. Taking the data of initial requirement importance, performance realization levels and customers’ psychological states into consideration, three novel adjusting models are established to acquire the comprehensive importance of each requirement. A case study is conducted to illustrate the feasibility of the approach proposed in this paper.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Nos. 51775489, 51675477), Zhejiang Provincial Natural Science Foundation of China (No. LZ18E050001), and Innovation Foundation of the State Key Laboratory of Fluid Power and Mechatronic Systems.

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Authors and Affiliations

  1. State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310027, China

    Shanhe Lou, Yixiong Feng, Hao Zheng, Yicong Gao & Jianrong Tan

  2. Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, Zhejiang University, Hangzhou, 310027, China

    Shanhe Lou, Yixiong Feng, Hao Zheng, Yicong Gao & Jianrong Tan

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  1. Shanhe Lou
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  2. Yixiong Feng
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  3. Hao Zheng
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Correspondence to Yixiong Feng.

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Lou, S., Feng, Y., Zheng, H. et al. Data-driven customer requirements discernment in the product lifecycle management via intuitionistic fuzzy sets and electroencephalogram. J Intell Manuf 31, 1721–1736 (2020). https://doi.org/10.1007/s10845-018-1395-x

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