20.500.12556/DKUM-97241 Multi-objective automated guided vehicle scheduling based on MapReduce framework During material handling processes, automated guided vehicles (AGVs) pose a path conflict problem. To solve this problem, we proposed a multi-objective scheduling model based on total driving distance and waiting time, and used the A* path planning algorithm to search the shortest path of AGV. By using a speed control strategy, we were able to detect the overlap path and the conflict time. Additionally, we adopted an efficient MapReduce framework to improve the speed control strategy execution efficiency. At last, a material handling system of smart electrical connectors workshop was discussed to verify the scheduling model and the speed control strategy combined with the MapReduce framework is feasible and effective to reduce the AGV path conflict probability. The material handling system could be applied in workshop to replace manual handling and to improve production efficiency. Automated‐guided vehicle(AGV) scheduling AGV scheduling MapReduce path planning A* search algorithm samodejno vodena vozila razporejanje načrtovanje poti true false true Univerza v Mariboru Angleški jezik Slovenski jezik https://apem-journal.org/Archives/2021/Abstract-APEM16-1_037-046.html Članek v reviji 2026-02-24 16:03:20 2026-02-24 16:03:20 2026-02-25 03:28:03 0000-00-00 00:00:00 2021 0 0 str. 37-46 no. 1 Vol. 16 Mar. 2021 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2021-01-25 2021-03-08 2021-03-26 681.5 269298947 10.14743/apem2021.1.383 1854-6250 APEM16-1_037-046.pdf APEM16-1_037-046.pdf 1 78CA1001CC0A609FA4B7EE23FF89A41C 3f0632085c484b3bab3f14681a66f34b244707862a0ce38bcd9327a6da833635 3b296b16-1192-11f1-a1a6-00155d580e1a https://dk.um.si/Dokument.php?lang=slv&id=203792 https://apem-journal.org/Archives/2021/Abstract-APEM16-1_037-046.html 0 40cc5de4-1192-11f1-a1a6-00155d580e1a https://dk.um.si/Dokument.php?lang=slv&id=203793 Fakulteta za strojništvo Advances in production engineering & management 0 0 0