Optimization Of Material Transportation Assignment For Automated Guided Vehicle (AGV) System

Mohamad, Nor Rashidah and Md Fauadi, Muhammad Hafidz Fazli and Zainudin, Siti Fairus and Mohamed Noor, Ahamad Zaki and Jafar, Fairul Azni and Mat Ali, Mahasan (2018) Optimization Of Material Transportation Assignment For Automated Guided Vehicle (AGV) System. International Journal Of Engineering & Technology, 7 (3.20). pp. 334-338. ISSN 2227-524X

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Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	Automated Guided Vehicles; Material Transportation Assignment; Genetic Algorithm; FlexSim Software
Subjects:	T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery
Divisions:	Faculty of Manufacturing Engineering
Depositing User:	Mohd Hannif Jamaludin
Date Deposited:	08 Aug 2019 04:16
Last Modified:	30 Aug 2021 13:56
URI:	http://eprints.utem.edu.my/id/eprint/23020
Statistic Details:	View Download Statistic

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