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Application of combined Kano model and interactive genetic algorithm for product customization

Author

Listed:
  • Runliang Dou

    (Tianjin University)

  • Yubo Zhang

    (Tianjin University)

  • Guofang Nan

    (Tianjin University)

Abstract

Interactive genetic algorithms (IGAs) have been applied in industrial design to quickly respond to customers’ personalized demand and to achieve customization. However, unreasonable recognition and improper configuration of customization attributes may increase the design complexity, impair efficiency and lead to user fatigue. In this paper, a combined Kano model and IGA approach is proposed for more effective product customization to conduct customer-driven product design by fully considering their individual preferences and simultaneously enhancing effective user involvement. The approach uses the Kano model to recognize different customization attributes and rank them in order of their influence on customer satisfaction. The model then dynamically adjusts these attributes for customization in the IGA-based product design process to more quickly find a satisfying design scheme without leading to user fatigue. A computer-aided design system prototype is developed in the context of the customized design of tablet PCs to prove the maneuverability and effectiveness of the proposed approach. The experimental results demonstrate that the approach could improve customization efficiency to a large extent and fully relieve user fatigue by expediting the process of finding satisfying design individuals for customers.

Suggested Citation

  • Runliang Dou & Yubo Zhang & Guofang Nan, 2019. "Application of combined Kano model and interactive genetic algorithm for product customization," Journal of Intelligent Manufacturing, Springer, vol. 30(7), pages 2587-2602, October.
    • Handle: RePEc:spr:joinma:v:30:y:2019:i:7:d:10.1007_s10845-016-1280-4
    DOI: 10.1007/s10845-016-1280-4
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    References listed on IDEAS

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    1. Darren W. Dahl & Christoph Fuchs & Martin Schreier, 2015. "Why and When Consumers Prefer Products of User-Driven Firms: A Social Identification Account," Management Science, INFORMS, vol. 61(8), pages 1978-1988, August.
    2. Bernhardt, Dan & Liu, Qihong & Serfes, Konstantinos, 2007. "Product customization," European Economic Review, Elsevier, vol. 51(6), pages 1396-1422, August.
    3. Chen, Chun-Chih & Chuang, Ming-Chuen, 2008. "Integrating the Kano model into a robust design approach to enhance customer satisfaction with product design," International Journal of Production Economics, Elsevier, vol. 114(2), pages 667-681, August.
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    Cited by:

    1. Jing Liu & Qiqi Zhi & Haipeng Ji & Bolong Li & Siyuan Lei, 2021. "Wheel hub customization with an interactive artificial immune algorithm," Journal of Intelligent Manufacturing, Springer, vol. 32(5), pages 1305-1322, June.
    2. Chunting Liu & Guozhu Jia & Jili Kong, 2020. "Requirement-Oriented Engineering Characteristic Identification for a Sustainable Product–Service System: A Multi-Method Approach," Sustainability, MDPI, vol. 12(21), pages 1-20, October.

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