A Path Planning Model for Stock Inventory Using a Drone

László Radácsi, Miklós Gubán, László Szabó and József Udvaros
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László Radácsi: Faculty of Finance and Accountancy, Budapest Business School, 1149 Budapest, Hungary
Miklós Gubán: Faculty of Finance and Accountancy, Budapest Business School, 1149 Budapest, Hungary
József Udvaros: Faculty of Finance and Accountancy, Budapest Business School, 1149 Budapest, Hungary

Mathematics, 2022, vol. 10, issue 16, 1-19

Abstract: In this study, a model and solution are shown for controlling the inventory of a logistics warehouse in which neither satellite positioning nor IoT solutions can be used. Following a review of the literature on path planning, a model is put forward using a drone that can be moved in all directions and is suitable for imaging and transmission. The proposed model involves three steps. In the first step, a traversal path definition provides an optimal solution, which is pre-processing. This is in line with the structure and capabilities of the warehouse. In the second step, the pre-processed path determines the real-time movement of the drone during processing, including camera movements and image capture. The third step is post-processing, i.e., the processing of images for QR code identification, the interpretation of the QR code, and the examination of matches and discrepancies for inventory control. A key benefit for the users of this model is that the result can be achieved without any external orientation tools, relying solely on its own movement and the organization of a pre-planned route. The proposed model can be effective not only for inventory control, but also for exploring the structure of a warehouse shelving system and determining empty cells.

Keywords: drone; inventory management; GA model; route planning; warehouse (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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