Milos Rajkovic
PhD Student
Faculty of Mechanical engineering in Belgrade
Nenad Zrnic
Full Professor
Faculty of Mechanical engineering
Nenad Kosanic
Associate Professor
Faculty of Mechanical engineering
Matej Borovinsek
Teaching Assistant
Faculty of Mechanical engineering in Maribor
Tone Lerher
Associate Professor
Faculty of Mechanical engineering in Maribor
PhD Student
Faculty of Mechanical engineering in Belgrade
Nenad Zrnic
Full Professor
Faculty of Mechanical engineering
Nenad Kosanic
Associate Professor
Faculty of Mechanical engineering
Matej Borovinsek
Teaching Assistant
Faculty of Mechanical engineering in Maribor
Tone Lerher
Associate Professor
Faculty of Mechanical engineering in Maribor
Multi-objective optimization model for double-deep automated storage and retrieval systems
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 fill-grade 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.
