Open AccessOptimization of Material Transportation Assignment for Automated Guided Vehicle (AGV) System
Author(s) -
Norhidayah Mohamad,
Muhammad Hafidz Fazli Md Fauadi,
Siti Fairus Zainudin,
Ahamad Zaki Mohamed Mohamed Noor,
Fairul Azni Jafar,
Mahasan Mat Ali
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.20.19269
Subject(s) - automated guided vehicle , task (project management) , genetic algorithm , computer science , pickup , assignment problem , material handling , mathematical optimization , engineering , industrial engineering , artificial intelligence , machine learning , systems engineering , mathematics , image (mathematics)
This article focuses on Material Transportation Assignment problem that is identified as an Automated Guided Vehicles (AGV) multi-load task assignment. The primary goal of this paper is to determine the factors needed to optimize material transportation system. This study also explores the optimization and performance enhancement of the Flexible Manufacturing System (FMS) environment. The implementation of Genetic Algorithm (GA) in this model is to obtain the optimal solution for FMS layout. The combination of delivery and pickup task are addressed by modified algorithm for advancement in multiple loads AGV. The result obtained depicts that the proposed task assignment method with a modified genetic algorithm can produce acceptable performance compared to conventional task assignment method.