Secured Multi-Dimensional Robust Optimization Model for Remotely Piloted Aircraft System (RPAS) Delivery Network Based on the SORA Standard
The range of applications of RPAs in various industries indicates that their increased usage could reduce operational costs and time. Remotely piloted aircraft systems (RPASs) can be deployed quickly and effectively in numerous distribution systems and even during a crisis by eliminating existing pr...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Designs |
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| Online Access: | https://www.mdpi.com/2411-9660/6/3/55 |
| _version_ | 1797488389425987584 |
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| author | Armin Mahmoodi Leila Hashemi Jeremy Laliberté Richard C. Millar |
| author_facet | Armin Mahmoodi Leila Hashemi Jeremy Laliberté Richard C. Millar |
| author_sort | Armin Mahmoodi |
| collection | DOAJ |
| description | The range of applications of RPAs in various industries indicates that their increased usage could reduce operational costs and time. Remotely piloted aircraft systems (RPASs) can be deployed quickly and effectively in numerous distribution systems and even during a crisis by eliminating existing problems in ground transport due to their structure and flexibility. Moreover, they can also be useful in data collection in damaged areas by correctly defining the condition of flight trajectories. Hence, defining a framework and model for better regulation and management of RPAS-based systems appears necessary; a model that could accurately predict what will happen in practice through the real simulation of the circumstances of distribution systems. Therefore, this study attempts to propose a multi-objective location-routing optimization model by specifying time window constraints, simultaneous pick-up and delivery demands, and the possibility of recharging the used batteries to reduce, firstly, transport costs, secondly, delivery times, and thirdly, estimated risks. Furthermore, the delivery time of the model has been optimized to increase its accuracy based on the uncertain conditions of possible traffic scenarios. It is also imperative to note that the assessment of risk indicators was conducted based on the Specific Operations Risk Assessment (SORA) standard to define the third objective function, which was conducted in a few previous studies. Finally, it shows how the developed NSGA-II algorithm in this study performed successfully and reduced the objective function by 31%. Comparing the obtained results using an NSGA-II meta-heuristic approach, through the rigorous method GAMS, indicates that the results are valid and reliable. |
| first_indexed | 2024-03-10T00:01:27Z |
| format | Article |
| id | doaj.art-88a318f2cec944fab56e6c4d3ab33e75 |
| institution | Directory Open Access Journal |
| issn | 2411-9660 |
| language | English |
| last_indexed | 2024-03-10T00:01:27Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Designs |
| spelling | doaj.art-88a318f2cec944fab56e6c4d3ab33e752023-11-23T16:15:45ZengMDPI AGDesigns2411-96602022-06-01635510.3390/designs6030055Secured Multi-Dimensional Robust Optimization Model for Remotely Piloted Aircraft System (RPAS) Delivery Network Based on the SORA StandardArmin Mahmoodi0Leila Hashemi1Jeremy Laliberté2Richard C. Millar3Department of Mechanical and Aerospace Engineering, Carleton University, Ottawa, ON K1S 5B6, CanadaDepartment of Mechanical and Aerospace Engineering, Carleton University, Ottawa, ON K1S 5B6, CanadaDepartment of Mechanical and Aerospace Engineering, Carleton University, Ottawa, ON K1S 5B6, CanadaDepartment of Engineering Management and Systems Engineering, The George Washington University, Washington, DC 20052, USAThe range of applications of RPAs in various industries indicates that their increased usage could reduce operational costs and time. Remotely piloted aircraft systems (RPASs) can be deployed quickly and effectively in numerous distribution systems and even during a crisis by eliminating existing problems in ground transport due to their structure and flexibility. Moreover, they can also be useful in data collection in damaged areas by correctly defining the condition of flight trajectories. Hence, defining a framework and model for better regulation and management of RPAS-based systems appears necessary; a model that could accurately predict what will happen in practice through the real simulation of the circumstances of distribution systems. Therefore, this study attempts to propose a multi-objective location-routing optimization model by specifying time window constraints, simultaneous pick-up and delivery demands, and the possibility of recharging the used batteries to reduce, firstly, transport costs, secondly, delivery times, and thirdly, estimated risks. Furthermore, the delivery time of the model has been optimized to increase its accuracy based on the uncertain conditions of possible traffic scenarios. It is also imperative to note that the assessment of risk indicators was conducted based on the Specific Operations Risk Assessment (SORA) standard to define the third objective function, which was conducted in a few previous studies. Finally, it shows how the developed NSGA-II algorithm in this study performed successfully and reduced the objective function by 31%. Comparing the obtained results using an NSGA-II meta-heuristic approach, through the rigorous method GAMS, indicates that the results are valid and reliable.https://www.mdpi.com/2411-9660/6/3/55remotely piloted aircraft system (RPAS)multi-objective optimizationNSGAII algorithmlocation-routing problemrobust optimizationSORA standard |
| spellingShingle | Armin Mahmoodi Leila Hashemi Jeremy Laliberté Richard C. Millar Secured Multi-Dimensional Robust Optimization Model for Remotely Piloted Aircraft System (RPAS) Delivery Network Based on the SORA Standard Designs remotely piloted aircraft system (RPAS) multi-objective optimization NSGAII algorithm location-routing problem robust optimization SORA standard |
| title | Secured Multi-Dimensional Robust Optimization Model for Remotely Piloted Aircraft System (RPAS) Delivery Network Based on the SORA Standard |
| title_full | Secured Multi-Dimensional Robust Optimization Model for Remotely Piloted Aircraft System (RPAS) Delivery Network Based on the SORA Standard |
| title_fullStr | Secured Multi-Dimensional Robust Optimization Model for Remotely Piloted Aircraft System (RPAS) Delivery Network Based on the SORA Standard |
| title_full_unstemmed | Secured Multi-Dimensional Robust Optimization Model for Remotely Piloted Aircraft System (RPAS) Delivery Network Based on the SORA Standard |
| title_short | Secured Multi-Dimensional Robust Optimization Model for Remotely Piloted Aircraft System (RPAS) Delivery Network Based on the SORA Standard |
| title_sort | secured multi dimensional robust optimization model for remotely piloted aircraft system rpas delivery network based on the sora standard |
| topic | remotely piloted aircraft system (RPAS) multi-objective optimization NSGAII algorithm location-routing problem robust optimization SORA standard |
| url | https://www.mdpi.com/2411-9660/6/3/55 |
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