Building Management Algorithms in Automated Warehouse Using Continuous Cluster Analysis Method

Optimizing warehouse space and travel distance are important tasks in cold warehouse management. It is not only help to save operation cost and travel time, but also helps to manage goods more easily. This paper presents the method of arranging goods in the warehouse according to continuous clusters, that mean the goods are always arranged in adjacent positions and the nearest the depot. It will help to decrease travel distance and minimize the empty location among goods. In Addition, first come first serve and first in first out algorithms are applied in storage and retrieval process to determine the exact storage location. A software is built to simulate these algorithms. The simulated warehouse contain 240 storage locations, separated by 2 storage aisles and 1 pick aisle.