DESIGN AND IMPLEMENTATION OF ELECTRICAL, MECHANICAL, AND CONTROL SYSTEM OF A DIFFERENTIAL DRIVE AUTOMATED GUIDED VEHICLE FOR MATERIAL TRANSPORT AT PARAGON TECHNOLOGY AND INNOVATION

• Main Author: Fernando, Feroz
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/67897
• Institution: Institut Teknologi Bandung

As a leading cosmetic manufacturer in Indoneisa, Paragon Technology and Innovation (PTI) faced material transportation challenges in one of the manufacturing plants, the Jatake 2 plant. Specifically, the problem exists in the form of lean manufacturing waste. Lean manufacturing is an important concept for industries that manufacture in large quantities since the profit margin is razor sharp, hence making a minor optimization largely impactful for the company. The current material transportation method using human labor is not efficient enough because of manufacturing wastes that they make, to name it: transportation, motion, and production waste. A solution is then proposed by the application of an Automated Guided Vehicle which further be used to move a material from one place to another automatically using sensor attached on material loading location to detect material needs. The Automated Guided Vehicle is designed and implemented in the span of 5 months period. The method used focuses on Research and Development. The goal is to implement a form of Most Viable Product of the Automated Guided Vehicle and a system called as the pull system to notify the vehicle to automatically pick up the material when it is needed. This document gives a comprehensive explanation of the electrical, mechanical, and control system of the said Automated Guided Vehicle. The main processor of the vehicle is NVIDIA Jetson Nano Single Board Computer, which further supported by Nucleo STM32F446ZE microcontroller. These two devices interact using Robot Operating System (ROS) as its middleware. The main driving actuator are Brushless DC Motors. To detect the guiding track, a camera is used and a LIDAR is used as the obstacle detector. Pull System is then implemented using ESP8266 microcontroller which communicates with the vehicle wirelessly via Wi-Fi.