Simulation Optimization Design of Set Parts Supply System for Automobile Assembly Line. (October 2020)

• Record Type: Journal Article
• Authors: Chen, Xuehong; Zhu, Haiping; Guan, Hui
• Is Part Of: Journal of physics. Volume 1626(2020)
• Publication Date: 2020-10
• Subjects: Simulation optimization -- Set parts supply system -- Assembly line; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1626/1/012131
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: This article studies material distribution system of mixed-model assembly line. A new material distribution model, set parts supply (SPS) system, is applied to a practical automobile assembly line (S Company) with a takt time of 80s. Firstly, Plant Simulation is used to build the material assembly system simulation model. For the distribution area subsystem, to maximize picking efficiency, material layout and task allocation plan of distribution area are obtained through simulation combined with genetic algorithm with two-chromosome expansion coding mode. As for material transporting subsystem, Design of Experiment (DOE) method based on simulation model is used to achieve the optimization of system parameters such as number of AGVs, capacity of buffer and so on.