Multi-objective optimization model for double-deep automated storage and retrieval systems
Апстракт
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.
Кључне речи:
Automated storage and retrieval systems / double-deep storage racks / multi-objective optimization / performance analysisИзвор:
Proceedings of the XXII International Conference MHCL 2017, 2017, 189-194Издавач:
- University of Belgrade, Faculty of Mechanical Engineering
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Rajković, Miloš AU - Zrnić, Nenad AU - Kosanić, Nenad AU - Borovinšek, Matej AU - Lerher, Tone PY - 2017 UR - https://machinery.mas.bg.ac.rs/handle/123456789/6277 AB - 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. PB - University of Belgrade, Faculty of Mechanical Engineering C3 - Proceedings of the XXII International Conference MHCL 2017 T1 - Multi-objective optimization model for double-deep automated storage and retrieval systems EP - 194 SP - 189 UR - https://hdl.handle.net/21.15107/rcub_machinery_6277 ER -
@conference{ author = "Rajković, Miloš and Zrnić, Nenad and Kosanić, Nenad and Borovinšek, Matej and Lerher, Tone", year = "2017", 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.", publisher = "University of Belgrade, Faculty of Mechanical Engineering", journal = "Proceedings of the XXII International Conference MHCL 2017", title = "Multi-objective optimization model for double-deep automated storage and retrieval systems", pages = "194-189", url = "https://hdl.handle.net/21.15107/rcub_machinery_6277" }
Rajković, M., Zrnić, N., Kosanić, N., Borovinšek, M.,& Lerher, T.. (2017). Multi-objective optimization model for double-deep automated storage and retrieval systems. in Proceedings of the XXII International Conference MHCL 2017 University of Belgrade, Faculty of Mechanical Engineering., 189-194. https://hdl.handle.net/21.15107/rcub_machinery_6277
Rajković M, Zrnić N, Kosanić N, Borovinšek M, Lerher T. Multi-objective optimization model for double-deep automated storage and retrieval systems. in Proceedings of the XXII International Conference MHCL 2017. 2017;:189-194. https://hdl.handle.net/21.15107/rcub_machinery_6277 .
Rajković, Miloš, Zrnić, Nenad, Kosanić, Nenad, Borovinšek, Matej, Lerher, Tone, "Multi-objective optimization model for double-deep automated storage and retrieval systems" in Proceedings of the XXII International Conference MHCL 2017 (2017):189-194, https://hdl.handle.net/21.15107/rcub_machinery_6277 .