Amornphun Phunopas¹, Wisanu Jitviriya¹, Noppadol Pudchuen¹, Songklod Tunsiri², Eiji Hayashi^3
1Faculty of Engineering, King Mongkut’s University of Technology North Bangkok, 1518 Pracharat 1 Road, Bangsue, Bangkok 10800, Thailand
²Urban Community Development College, Navamindradhiraj University, Wachira Phayaban, Khao Road, Dusit, Bangkok 10300, Thailand
³Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka 820-0067, Japan
pp. 116-121
ABSTRACT
AGVs are increasingly used in the automated warehouse with a high demand for changing traditional workflow management to industrial 4.0. The heart of the computerized system is the central software that can distribute work functions from the queues and manage the AGVs’ traffic. On the 2D floor plant layout and the occupancy grid map, the RFID girds are initially from marked points or the place that AGVs have to transit to do an assigned task. This research proposes autonomously generating paths via four nearest grids and path switching scenarios. The results show the generated paths with sequential tasks concurrently in random conditions. The task management method can prevent the AGVs’ crash and bottleneck from the operation of nine machines in the foam manufacturing plant.

ARTICLE INFO
Article History
Received 11 November 2019
Accepted 10 August 2020

Keywords
Automated tasking
AGVs traffic and queue management

JAALR1303

Download article(PDF)