Multi-objective optimization model for double-deep automated storage and retrieval systems

Abstract

In the following paper, a new multi-objective optimization model for optimizing performances, costs and energy consumption of an automated storage and retrieval system with double-deep storage rack, will be presented. While majority of literature considers single objective function at a time, this model simultaneously optimizes three objective functions (minimum: investment costs, cycle time, CO2 emission) for a double-deep AS/RS. Analyses are performed in regard to different fillgrade factor of SR. For optimization, NSGA II algorithm is used as a tool to find Pareto optimal solutions. Since AS/RS require high initial investments, and are not flexible in terms of layout or other organizational changes once to system is built, this model could potentially be a very useful tool for warehouse designers in initial stages of planning.