Slotting optimization of automated storage and retrieval system (AS/RS) for efficient delivery of parts in an assembly shop using genetic algorithm: A case Study

5th International Conference on Manufacturing, Optimization, Industrial and Material Engineering

Yue, L.^1,2,3 ; Guan, Z.^1,2,3 ; He, C.^1,2 ; Luo, D.^1,2 ; Saif, U.^2,3

State Key Lab of Digital Manufacturing Equipment and Technology, Wuhan

430074, China^1

School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan

430074, China^2

HUST-SANY Joint Lab of Advanced Manufacturing, Wuhan

430074, China^3

关键词: Automated storage and retrieval system;    Competitive pressure;    Computational results;    Distribution systems;    Manufacturing companies;    simulation method;    Slotting optimizations;    workshop distribution;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/215/1/012002/pdf
DOI  :  10.1088/1757-899X/215/1/012002

来源: IOP

【 摘 要 】

In recent years, the competitive pressure on manufacturing companies shifted them from mass production to mass customization to produce large variety of products. It is a great challenge for companies nowadays to produce customized mixed flow mode of production to meet customized demand on time. Due to large variety of products, the storage system to deliver variety of products to production lines influences on the timely production of variety of products, as investigated from by simulation study of an inefficient storage system of a real Company, in the current research. Therefore, current research proposed a slotting optimization model with mixed model sequence to assemble in consideration of the final flow lines to optimize whole automated storage and retrieval system (AS/RS) and distribution system in the case company. Current research is aimed to minimize vertical height of centre of gravity of AS/RS and total time spent for taking the materials out from the AS/RS simultaneously. Genetic algorithm is adopted to solve the proposed problem and computational result shows significant improvement in stability and efficiency of AS/RS as compared to the existing method used in the case company.