Multi-objective optimisation model of shuttle-based storage and retrieval system
This paper presents a multi-objective optimisation solution procedure for the design of the Shuttle-Based Storage and Retrieval System (SBS/RS). An efficient SBS/RS design should take into account multi-objectives for optimization. In this study, we considered three objective functions in the design...
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| Format: | Article |
| Language: | English |
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Vilnius Gediminas Technical University
2017-05-01
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| Series: | Transport |
| Subjects: | |
| Online Access: | https://journals.vgtu.lt/index.php/Transport/article/view/774 |
| _version_ | 1811191543326834688 |
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| author | Matej Borovinšek Banu Y. Ekren Aurelija Burinskienė Tone Lerher |
| author_facet | Matej Borovinšek Banu Y. Ekren Aurelija Burinskienė Tone Lerher |
| author_sort | Matej Borovinšek |
| collection | DOAJ |
| description | This paper presents a multi-objective optimisation solution procedure for the design of the Shuttle-Based Storage and Retrieval System (SBS/RS). An efficient SBS/RS design should take into account multi-objectives for optimization. In this study, we considered three objective functions in the design concept which are the minimization of average cycle time of transactions (average throughput time), amount of energy (electricity) consumption and total investment cost. By also considering the amount of energy consumption as an objective function for minimization, we aimed to contribute to an environmentally friendly design concept. During the optimization procedure, we considered seven design variables as number of aisles, number of tiers, number of columns, velocities of shuttle carriers, acceleration/deceleration of shuttle carriers, velocity of the elevators lifting tables and acceleration/deceleration of the elevators lifting tables. Due to the non-linear property of the objective function, we utilized the Non-Dominated Sorting Genetic Algorithm II (NSGA II) genetic algorithm for facilitating the solution. Lastly, we searched Pareto optimal solutions to find out the optimum results. We believe that this study provides a useful and a flexible tool for warehouse planners and designers, while choosing a particular type of SBS/RS at the early stage of the warehouse design.
First published online: 12 May 2016 |
| first_indexed | 2024-04-11T15:06:33Z |
| format | Article |
| id | doaj.art-d652b1814b8a42abb828e2d85cd815ef |
| institution | Directory Open Access Journal |
| issn | 1648-4142 1648-3480 |
| language | English |
| last_indexed | 2024-04-11T15:06:33Z |
| publishDate | 2017-05-01 |
| publisher | Vilnius Gediminas Technical University |
| record_format | Article |
| series | Transport |
| spelling | doaj.art-d652b1814b8a42abb828e2d85cd815ef2022-12-22T04:16:47ZengVilnius Gediminas Technical UniversityTransport1648-41421648-34802017-05-0132210.3846/16484142.2016.1186732Multi-objective optimisation model of shuttle-based storage and retrieval systemMatej Borovinšek0Banu Y. Ekren1Aurelija Burinskienė2Tone Lerher3Faculty of Mechanical Engineering, University of Maribor, SloveniaDept of Industrial Engineering, Izmir University of Economics, TurkeyDept of International Economics and Management, Vilnius Gediminas Technical University, LithuaniaFaculty of Mechanical Engineering, University of Maribor, SloveniaThis paper presents a multi-objective optimisation solution procedure for the design of the Shuttle-Based Storage and Retrieval System (SBS/RS). An efficient SBS/RS design should take into account multi-objectives for optimization. In this study, we considered three objective functions in the design concept which are the minimization of average cycle time of transactions (average throughput time), amount of energy (electricity) consumption and total investment cost. By also considering the amount of energy consumption as an objective function for minimization, we aimed to contribute to an environmentally friendly design concept. During the optimization procedure, we considered seven design variables as number of aisles, number of tiers, number of columns, velocities of shuttle carriers, acceleration/deceleration of shuttle carriers, velocity of the elevators lifting tables and acceleration/deceleration of the elevators lifting tables. Due to the non-linear property of the objective function, we utilized the Non-Dominated Sorting Genetic Algorithm II (NSGA II) genetic algorithm for facilitating the solution. Lastly, we searched Pareto optimal solutions to find out the optimum results. We believe that this study provides a useful and a flexible tool for warehouse planners and designers, while choosing a particular type of SBS/RS at the early stage of the warehouse design. First published online: 12 May 2016https://journals.vgtu.lt/index.php/Transport/article/view/774warehousesshuttle-based storage and retrieval systemsmulti-criteria optimization problemperformance analysis |
| spellingShingle | Matej Borovinšek Banu Y. Ekren Aurelija Burinskienė Tone Lerher Multi-objective optimisation model of shuttle-based storage and retrieval system Transport warehouses shuttle-based storage and retrieval systems multi-criteria optimization problem performance analysis |
| title | Multi-objective optimisation model of shuttle-based storage and retrieval system |
| title_full | Multi-objective optimisation model of shuttle-based storage and retrieval system |
| title_fullStr | Multi-objective optimisation model of shuttle-based storage and retrieval system |
| title_full_unstemmed | Multi-objective optimisation model of shuttle-based storage and retrieval system |
| title_short | Multi-objective optimisation model of shuttle-based storage and retrieval system |
| title_sort | multi objective optimisation model of shuttle based storage and retrieval system |
| topic | warehouses shuttle-based storage and retrieval systems multi-criteria optimization problem performance analysis |
| url | https://journals.vgtu.lt/index.php/Transport/article/view/774 |
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