Graduate papers
  
Description of the graduate paper
Form of studies Master
Title of the study programm Logistics and Supply Chain Management
Title in original language Automātiski vadāmo transportlīdzekļu plūsmas ceļa optimizācija viedā noliktavā
Title in English Optimization of Automated Guided Vehicles Flow Path in Smart Warehouse
Author Ashwin Kumar Kannan
Department International Cooperation and Foreign Students Department
Scientific advisor Vitālijs Boļšakovs
Reviewer Dr. sc. ing. Oļesja Večerinska
Abstract 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.
Keywords OPTIMIZATION OF AUTOMATED GUIDED VEHICLES FLOW PATH IN SMART WAREHOUSE
Keywords in English OPTIMIZATION OF AUTOMATED GUIDED VEHICLES FLOW PATH IN SMART WAREHOUSE
Language eng
Year 2019
Date and time of uploading 27.05.2019 21:01:27