Abstract
Remanufacturing is a valuable process with significant environmental benefits. However, remanufacturing companies face challenges in assembly due to small-scale production and reliance on manual labor. To address these problems and promote reuse and assembly efficiency, this paper presents a novel approach to fine-grained process retrieval and reuse, based on the process constituent elements model. The study highlights the importance of analyzing process information in four dimensions: input, auxiliary activities, value-added control activities, and output of process constituent elements. Additionally, a method for representing process multi-source information based on genetic structure is proposed. To measure similarity, the paper examines the base attributes of process constituent elements across different procedures and implements the grey relational analysis to integrate diverse information. The effectiveness is demonstrated through a set of remanufacturing assembly procedure cases.
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