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Studiju darba apraksts
Studiju veids maģistra akadēmiskās studijas
Studiju programmas nosaukums Loģistikas sistēmu un piegādes ķēdes vadība
Nosaukums Automātiski vadāmo transportlīdzekļu plūsmas ceļa optimizācija viedā noliktavā
Nosaukums angļu valodā Optimization of Automated Guided Vehicles Flow Path in Smart Warehouse
Autors Ashwin Kumar Kannan
Struktūrvienība 01R00 Starptautiskās sadarbības un ārzemju studentu departaments
Darba vadītājs Vitālijs Boļšakovs
Recenzents Dr. sc. ing. Oļesja Večerinska
Anotācija In the implementation of the smart warehouse system, the concept of automated guided vehicles (AGVs) is a critically important component which is also expensive to set up. Automated guided vehicles play a vital role in the smart warehouse system as it influences factors such as efficiency, lead time, reliability, cost effectiveness, etc. For a better return on investment (ROI), proper utilization of AGVs is required. The efficiency of the automated guided vehicles is directly proportional to task assignment, path planning, scheduling, and optimization of movements. So, in this thesis, we will discuss the ways to optimize the path search using an appropriate algorithm. The results of the simulation experiments will support the analysis where different algorithms are implemented to find the path from the starting node to the goal node in the warehouse environment. The master thesis contains a total of 71 pages, 40 images, three tables, and 67 reference sources.
Atslēgas vārdi OPTIMIZATION OF AUTOMATED GUIDED VEHICLES FLOW PATH IN SMART WAREHOUSE
Atslēgas vārdi angļu valodā OPTIMIZATION OF AUTOMATED GUIDED VEHICLES FLOW PATH IN SMART WAREHOUSE
Valoda eng
Gads 2019
Darba augšupielādes datums un laiks 27.05.2019 21:01:27