A multi-objective optimization model for minimizing investment expenses, cycle times and co2 footprint of an automated storage and retrieval systems
Апстракт
A new optimization model of Automated Storage and Retrieval Systems (AS/RS) containing three objective and four constraint functions is presented in this paper. Majority of the researchers and publications in material handling field had performed optimization of different decision variables, but with single objective function only. Most common functions are: minimum travel time, maximum throughput capacity, minimum cost, maximum energy efficiency, etc. To perform the simultaneous optimization of objective functions (minimum: "investment expenses", "cycle times", "CO2 footprint") the Non-dominated Sorting Genetic Algorithm II (NSGA II) was used. The NSGA II is a tool for finding the Pareto optimal solutions on the Pareto line. Determining the performance of the system is the main goal of our model. Since AS/RS are not flexible in terms of layout and organizational changes once the system is up and running, the proposed model could be a very helpful tool for the warehouse planners in the... early stages of warehouse design.
Кључне речи:
warehouses / performance analysis / multi-objective optimization / mathematical modelling / automated storage and retrieval systemИзвор:
Transport, 2019, 34, 2, 275-286Издавач:
- Vilnius Gediminas Tech Univ, Vilnius
DOI: 10.3846/transport.2019.9686
ISSN: 1648-4142
WoS: 000467052700013
Scopus: 2-s2.0-85066435806
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Rajković, Miloš AU - Zrnić, Nenad AU - Kosanić, Nenad AU - Borovinšek, Matej AU - Lerher, Tone PY - 2019 UR - https://machinery.mas.bg.ac.rs/handle/123456789/3245 AB - A new optimization model of Automated Storage and Retrieval Systems (AS/RS) containing three objective and four constraint functions is presented in this paper. Majority of the researchers and publications in material handling field had performed optimization of different decision variables, but with single objective function only. Most common functions are: minimum travel time, maximum throughput capacity, minimum cost, maximum energy efficiency, etc. To perform the simultaneous optimization of objective functions (minimum: "investment expenses", "cycle times", "CO2 footprint") the Non-dominated Sorting Genetic Algorithm II (NSGA II) was used. The NSGA II is a tool for finding the Pareto optimal solutions on the Pareto line. Determining the performance of the system is the main goal of our model. Since AS/RS are not flexible in terms of layout and organizational changes once the system is up and running, the proposed model could be a very helpful tool for the warehouse planners in the early stages of warehouse design. PB - Vilnius Gediminas Tech Univ, Vilnius T2 - Transport T1 - A multi-objective optimization model for minimizing investment expenses, cycle times and co2 footprint of an automated storage and retrieval systems EP - 286 IS - 2 SP - 275 VL - 34 DO - 10.3846/transport.2019.9686 ER -
@article{ author = "Rajković, Miloš and Zrnić, Nenad and Kosanić, Nenad and Borovinšek, Matej and Lerher, Tone", year = "2019", abstract = "A new optimization model of Automated Storage and Retrieval Systems (AS/RS) containing three objective and four constraint functions is presented in this paper. Majority of the researchers and publications in material handling field had performed optimization of different decision variables, but with single objective function only. Most common functions are: minimum travel time, maximum throughput capacity, minimum cost, maximum energy efficiency, etc. To perform the simultaneous optimization of objective functions (minimum: "investment expenses", "cycle times", "CO2 footprint") the Non-dominated Sorting Genetic Algorithm II (NSGA II) was used. The NSGA II is a tool for finding the Pareto optimal solutions on the Pareto line. Determining the performance of the system is the main goal of our model. Since AS/RS are not flexible in terms of layout and organizational changes once the system is up and running, the proposed model could be a very helpful tool for the warehouse planners in the early stages of warehouse design.", publisher = "Vilnius Gediminas Tech Univ, Vilnius", journal = "Transport", title = "A multi-objective optimization model for minimizing investment expenses, cycle times and co2 footprint of an automated storage and retrieval systems", pages = "286-275", number = "2", volume = "34", doi = "10.3846/transport.2019.9686" }
Rajković, M., Zrnić, N., Kosanić, N., Borovinšek, M.,& Lerher, T.. (2019). A multi-objective optimization model for minimizing investment expenses, cycle times and co2 footprint of an automated storage and retrieval systems. in Transport Vilnius Gediminas Tech Univ, Vilnius., 34(2), 275-286. https://doi.org/10.3846/transport.2019.9686
Rajković M, Zrnić N, Kosanić N, Borovinšek M, Lerher T. A multi-objective optimization model for minimizing investment expenses, cycle times and co2 footprint of an automated storage and retrieval systems. in Transport. 2019;34(2):275-286. doi:10.3846/transport.2019.9686 .
Rajković, Miloš, Zrnić, Nenad, Kosanić, Nenad, Borovinšek, Matej, Lerher, Tone, "A multi-objective optimization model for minimizing investment expenses, cycle times and co2 footprint of an automated storage and retrieval systems" in Transport, 34, no. 2 (2019):275-286, https://doi.org/10.3846/transport.2019.9686 . .