Multi-objective configuration optimization method based on antlion algorithm for customer-oriented modular process

Article type: Research Article

Authors: Zhang, Qianqian^a | Fan, Bo^{a; b; *} | Sun, Lifan^{a; b}

Affiliations: [a] Information Engineering College, Henan University of Science and Technology, Luoyang, China | [b] Henan Key Laboratory of Robot and Intelligent Systems, Henan University of Science and Technology, Luoyang, China

Correspondence: [*] Corresponding author. Bo Fan. E-mail: [email protected].

Abstract: Process parameter configuration needs to respond quickly in the customized manufacturing environment. A multi-objective optimization method based on antlion algorithm for product process configuration design is proposed. The weight mapping mechanism of customer demands is established to clarify the relationship between customer demands and manufacturing process, which also simplifies the process attribute analysis of customized products. The parameters to be optimized in the customization process are analyzed: product performance, process cost and production time. Based on the objective function including these parameters, a multi-objective optimization model of modular process reconstruction is established. The proposed model and algorithm can optimize these parameters in parallel and realize the rapid configuration of product modular process. In the application case of this paper, the proposed method is suitable for the whole process modular configuration of copper plate and strip. The feasibility and effectiveness of the model and algorithm in the proposed configuration scheme are verified.

Keywords: Customization requirement analysis, modularization of manufacturing process, process configuration, multi-objective optimization, antlion algorithm

DOI: 10.3233/JIFS-240848

Journal: Journal of Intelligent & Fuzzy Systems, vol. 47, no. 3-4, pp. 265-277, 2024