Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6897573 | European Journal of Operational Research | 2014 | 13 Pages |
Abstract
We develop a network-based warehouse model of individual pallet locations and their interactions with appropriate cross aisles in order to evaluate the expected travel distance of a given design. The model is constructive in that it uses Particle Swarm Optimization to determine the best angles of cross aisles and picking aisles for multiple, pre-determined pickup and deposit (P&D) points in a unit-load warehouse. Our results suggest that alternative designs offer reduced expected travel distance, but at the expense of increased storage space. The opportunity for benefit also seems to decline as P&D points increase in number and dispersion.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Ã. ÃztürkoÄlu, K.R. Gue, R.D. Meller,