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ICCP: A heuristic process planning method for personalized product configuration design

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Abstract

Product personalization, a popular topic of Industry 4.0, requires enterprises to develop customer-centric products in a cost-efficient way. To achieve this goal, a personalized product configuration design that divides a product into multiple modules and instantiates them in parallel has been proposed and proven to be an effective method. However, the complex coupling relationships between component instances and their adaptability to individual requirements directly affect configuration design efficiency and accuracy, which requires reasonable instantiation process planning. Thus, this paper proposes a heuristic process planning method for personalized product configuration design. It first defines the personalized product configuration unit (PPCU) that encapsulates module information and design knowledge, avoiding repeated knowledge retrieval in the instantiation. Using the relevant data contained in the PPCU, a characteristic quantification method (CQM) is proposed to measure the coupling characteristics and adaptability characteristics of the PPCU. Taking characteristic values as input, the proposed heuristic approach, which simulates the crystallization growth process at imbalanced temperatures (ICCP), is applied to configuration design process planning to quickly identify appropriate instantiation sequences. In addition, the novel decoupling strategy we proposed considers the time-coupling ratio and the deformation workload expectation to split the strongly coupled PPCU group. Comprehensive performance experiments on a real dataset and an application experiment on personalized elevator design are conducted. The results verify that our method can achieve the configuration design with the highest planning efficiency and best design configuration result compared to five state-of-the-art methods, especially in the configuration design of complexly structured personalized products.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (52375271), the Natural Science Foundation of Zhejiang Province (LY23E050011), and Pioneer and Leading Goose R &D Program of Zhejiang (2022C01051).

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All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript.

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Authors and Affiliations

  1. State Key Laboratory of Fluid Power Transmission & Control, Zhejiang University, Zheda Road, Hangzhou, State, 310000, China

    Kerui Hu, Lemiao Qiu, Shuyou Zhang, Zili Wang & Naiyu Fang

Authors
  1. Kerui Hu
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  2. Lemiao Qiu
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  3. Shuyou Zhang
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  4. Zili Wang
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  5. Naiyu Fang
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Contributions

Conceptualization: Kerui Hu, Lemiao Qiu; Methodology: Kerui Hu; Formal analysis and investigation: Naiyu Fang; Writing - original draft preparation: Zili Wang; Writing - review and editing: Shuyou Zhang; Supervision: Shuyou Zhang.

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Correspondence to Lemiao Qiu.

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Appendix A: Figure

Appendix A: Figure

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Three-dimensional model of the elevator and the involved PPCUs

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Directed relationship graph of PPCUs

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The functions and details of the elevator design system

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The page of the PPCU sequence planning submodule

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Hu, K., Qiu, L., Zhang, S. et al. ICCP: A heuristic process planning method for personalized product configuration design. Appl Intell 53, 30887–30910 (2023). https://doi.org/10.1007/s10489-023-05186-z

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