Abstract: Fishbone layout warehouse is formed by inserting two main channels in the traditional rectangular warehouse, which has obvious advantages in sorting efficiency. Based on the Fishbone warehouse layout, an optimization model of Fishbone warehouse design was established to investigate the effects of different storage strategies on the warehouse layout when the space sharing effect was taken into account and the minimum one-way average picking distance. A gradational approximation strategy and dynamic programming algorithm were used to determine the optimal classification and class boundary. And then an adaptive genetic algorithm was designed to obtain the optimization storage layout parameters under the optimization storage classification. A simulation analysis was conducted based on the experimental data of the case. The results show that the warehouse layout based on the classification storage strategy performs well, and less space is required and the picking distance of goods is smaller. In addition, the greater the demand difference of goods stored in the warehouse is, the more significant the advantage of considering the space sharing effect is, which can reduce the picking distance of goods by up to 37.1%.

Key words: Fishbone layout, space sharing effect, gradational approximation strategy, dynamic programming, adaptive genetic algorithm