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A hybrid approach of case- and rule-based reasoning to assembly sequence planning

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Abstract

This paper presents a case-based reasoning (CBR) method in combination with ontology theory to carry out decision making for assembly sequence planning (ASP). Due to the ontology unifying various kinds of assembly sequence-related knowledge from different sources, the CBR approach enables a unified structured representation of previous cases and target cases to achieve integration and sharing of knowledge. Based on the similarity measure of classes and properties in ontology theory, the similarity calculation between target ASP case and previous ASP cases is carried out by considering the connection type, motion-transmission type, and location-support type, and a similarity-based previous cases retrieval algorithm is proposed. The combination of ontology and CBR enables flexible and high-quality assembly sequence decisions under various conditions; the ontology-based rule-based reasoning (RBR) method is also adopted as a supplement to CBR in the assembly sequence construction process. Additionally, a reducer case is used to validate the effectiveness of the proposed method.

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Acknowledgements

The authors would also like to thank the editors and anonymous referees for their insightful comments and suggestions.

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Authors and Affiliations

  1. College of Mechanical Engineering and Automation, Liaoning University of Technology, Jinzhou, 121001, China

    Xiaolin Shi

  2. Institute of Intelligent Manufacturing, School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, 710072, China

    Xitian Tian & Liping Ma

  3. College of Mechanical and Electrical Engineering, Zaozhuang University, Zaozhuang, 277160, China

    Jianguo Gu

  4. Key Laboratory of Road Construction Technology and Equipment of MOE, School of Construction Machinery, Chang’an University, Xi’an, 710064, China

    Gangfeng Wang

  5. School of Aircraft Engineering, Xi’an Aeronautical University, Xi’an, 710077, China

    Dongping Zhao

Authors
  1. Xiaolin Shi
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  2. Xitian Tian
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  3. Jianguo Gu
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  4. Gangfeng Wang
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  5. Dongping Zhao
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  6. Liping Ma
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Contributions

Xiaolin Shi: conceptualization, methodology, analysis, investigation, methodology validation, writing original draft; Xitian Tian: conceptualization, methodology; Jianguo Gu: investigation, methodology validation; Gangfeng Wang: analysis, methodology; Dongping Zhao: methodology validation, editing; Liping Ma: methodology validation, editing.

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Correspondence to Xiaolin Shi.

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Shi, X., Tian, X., Gu, J. et al. A hybrid approach of case- and rule-based reasoning to assembly sequence planning. Int J Adv Manuf Technol 127, 221–236 (2023). https://doi.org/10.1007/s00170-023-11525-8

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  • DOI: https://doi.org/10.1007/s00170-023-11525-8

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