%0 Generic
%A Jiao, Yuling
%D 2023
%T Data underlying the research of mixed-model parallel two-sided assembly lines balancing problem
%U 
%R 10.4121/ee30a20b-605d-4108-a541-a30ef66de8c8.v1
%K Mixed-model lines
%K Parallel lines
%K Two-sided lines
%K Agent-based system
%X <p>The dataset is a classical arithmetic example containing task orientation attributes (Left , Right and free E), task time and task sequential relationships for product processing, see figures: P-9, P-12, P-16, P-24 and P-65, see file: Task time for each model. Prioritization diagrams for classical algorithms were obtained from the literature, and links to the relevant literature are provided in the "References" section. The study aims to solve a class of balancing problems of mixed model parallel two-sided assembly line, and mainly accomplishes the following aspects: (1) Define the "r-q" partition conceptual model of parallel two-sided assembly line with mixed-model, see the file: Assembly line schematic and vector drawing. (2) According to the conceptual model of partitioning, construct a comprehensive priority relationship diagram of products, realize the design of mixed-model production scheduling, and establish the first type of balanced mathematical model of mixed-model parallel two-sided assembly line. (3) For the first time, an ant colony algorithm has been successfully applied to solve the first type of balancing mathematical model of mixed-model parallel two-sided assembly line. (4) The assembly balancing problem of product flow production was calculated by this dataset, and the results include the number of workstations, the number of multiline stations, the number of positions, the balancing rate, and the smoothing index for each algorithm, see the file: study results. The results are compared with those of heuristic algorithm and artificial fish swarm algorithm, and the ant colony algorithm has better computational results, which verifies that the model and algorithm for a class of balancing problems of mixed-model parallel two-sided assembly lines are effective, and solves the joint optimization problem of a complex assembly line system that considers mixed-model sorting and product time balancing.</p>
%I 4TU.ResearchData