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Research on Evolution Balancing for Product Family Assembly Line in Big Data Environment
2018
MANUFACTURING TECHNOLOGY
Aiming at the problem of product family assembly line (PFAL) evolution balancing, an evolution balancing model for PFAL is established and an improved algorithm based on NSGA_II is also proposed. Firstly, the product family evolution and assembly line characteristics are researched and analyzed in big data environment. Tasks on PFAL are divided into platform and personality tasks, and the stability of assembly tasks is mainly considered especially. In the optimization process, a chromosome
doi:10.21062/ujep/102.2018/a/1213-2489/mt/18/2/337
fatcat:3u5b2kpptjhplkychd3fe4gvli