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Deployment of Battery Swapping Stations for Unmanned Aerial Vehicles Subject to Cyclic Production Flow Constraints

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 920))

Abstract

Given is a production system in which material handling operations are carried out by a fleet of UAVs. A problem has been formulated for this case of cyclic multi-product batch production flow, which combines the problems of split delivery-vehicle routing with time windows and deployment of battery swapping depots. It is assumed that the times of execution of pickup and delivery operations are known. During these operations, workpieces following different production routes reach and leave workstations cyclically. Given is the number of battery swapping depots and their potential arrangement. Given is also the rate of power consumption by an UAV in hovering mode or flying at a constant speed as well as during take-off and landing. The goal is to find the number of UAVs and the routes they fly to serve all the workstations periodically, within a given takt time, without violating constraints imposed by the due-time pickup/delivery operations and collision-free movement of UAVs. A declarative model of the analysed case allows to view the problem under consideration as a constraint satisfaction problem and solve it in the Oz Mozart programming environment.

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Acknowledgements

The work was carried out as part of the POIR.01.01.01-00-0485/17 project, “Development of a new type of logistic trolley and methods of collision-free and deadlock-free implementation of intralogistics processes”, financed by NCBiR.

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Correspondence to G. Bocewicz .

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Bocewicz, G., Nielsen, P., Banaszak, Z., Thibbotuwawa, A. (2018). Deployment of Battery Swapping Stations for Unmanned Aerial Vehicles Subject to Cyclic Production Flow Constraints. In: Damaševičius, R., Vasiljevienė, G. (eds) Information and Software Technologies. ICIST 2018. Communications in Computer and Information Science, vol 920. Springer, Cham. https://doi.org/10.1007/978-3-319-99972-2_6

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  • DOI: https://doi.org/10.1007/978-3-319-99972-2_6

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-99972-2

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