Makespan minimization of machines and Automated Guided Vehicles schedule using Binary Particle Swarm Optimization

Muhammad Hafidz Fazli Bin Md Fauadi, Tomohiro Murata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

An efficient and optimized Automated Guided Vehicles (AGVs) operation plays a critical role in improving the performance of a Flexible Manufacturing System (FMS). Among the main elements in the implementation of AGV is task scheduling. This is due to the fact that efficient scheduling would enable the increment of productivity and reducing delivery cost whilst optimally utilizes the entire fleet. In this research, Binary Particle Swarm Optimization (BPSO) is used to optimize simultaneous machines and AGVs scheduling process with makespan minimization function. It is proven that the method is capable to provide better solution compared to others.

Original languageEnglish
Title of host publicationProceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010
Pages1897-1902
Number of pages6
Publication statusPublished - 2010
EventInternational MultiConference of Engineers and Computer Scientists 2010, IMECS 2010 - Kowloon
Duration: 2010 Mar 172010 Mar 19

Other

OtherInternational MultiConference of Engineers and Computer Scientists 2010, IMECS 2010
CityKowloon
Period10/3/1710/3/19

Fingerprint

Particle swarm optimization (PSO)
Scheduling
Flexible manufacturing systems
Productivity
Costs

Keywords

  • Automated Guided Vehicle
  • Flexible manufacturing system
  • Particle swarm optimization

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

Cite this

Bin Md Fauadi, M. H. F., & Murata, T. (2010). Makespan minimization of machines and Automated Guided Vehicles schedule using Binary Particle Swarm Optimization. In Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010 (pp. 1897-1902)

Makespan minimization of machines and Automated Guided Vehicles schedule using Binary Particle Swarm Optimization. / Bin Md Fauadi, Muhammad Hafidz Fazli; Murata, Tomohiro.

Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010. 2010. p. 1897-1902.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bin Md Fauadi, MHF & Murata, T 2010, Makespan minimization of machines and Automated Guided Vehicles schedule using Binary Particle Swarm Optimization. in Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010. pp. 1897-1902, International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010, Kowloon, 10/3/17.
Bin Md Fauadi MHF, Murata T. Makespan minimization of machines and Automated Guided Vehicles schedule using Binary Particle Swarm Optimization. In Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010. 2010. p. 1897-1902
Bin Md Fauadi, Muhammad Hafidz Fazli ; Murata, Tomohiro. / Makespan minimization of machines and Automated Guided Vehicles schedule using Binary Particle Swarm Optimization. Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010. 2010. pp. 1897-1902
@inproceedings{de14e5b3ff214fffaaf2622f8432127a,
title = "Makespan minimization of machines and Automated Guided Vehicles schedule using Binary Particle Swarm Optimization",
abstract = "An efficient and optimized Automated Guided Vehicles (AGVs) operation plays a critical role in improving the performance of a Flexible Manufacturing System (FMS). Among the main elements in the implementation of AGV is task scheduling. This is due to the fact that efficient scheduling would enable the increment of productivity and reducing delivery cost whilst optimally utilizes the entire fleet. In this research, Binary Particle Swarm Optimization (BPSO) is used to optimize simultaneous machines and AGVs scheduling process with makespan minimization function. It is proven that the method is capable to provide better solution compared to others.",
keywords = "Automated Guided Vehicle, Flexible manufacturing system, Particle swarm optimization",
author = "{Bin Md Fauadi}, {Muhammad Hafidz Fazli} and Tomohiro Murata",
year = "2010",
language = "English",
isbn = "9789881701282",
pages = "1897--1902",
booktitle = "Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010",

}

TY - GEN

T1 - Makespan minimization of machines and Automated Guided Vehicles schedule using Binary Particle Swarm Optimization

AU - Bin Md Fauadi, Muhammad Hafidz Fazli

AU - Murata, Tomohiro

PY - 2010

Y1 - 2010

N2 - An efficient and optimized Automated Guided Vehicles (AGVs) operation plays a critical role in improving the performance of a Flexible Manufacturing System (FMS). Among the main elements in the implementation of AGV is task scheduling. This is due to the fact that efficient scheduling would enable the increment of productivity and reducing delivery cost whilst optimally utilizes the entire fleet. In this research, Binary Particle Swarm Optimization (BPSO) is used to optimize simultaneous machines and AGVs scheduling process with makespan minimization function. It is proven that the method is capable to provide better solution compared to others.

AB - An efficient and optimized Automated Guided Vehicles (AGVs) operation plays a critical role in improving the performance of a Flexible Manufacturing System (FMS). Among the main elements in the implementation of AGV is task scheduling. This is due to the fact that efficient scheduling would enable the increment of productivity and reducing delivery cost whilst optimally utilizes the entire fleet. In this research, Binary Particle Swarm Optimization (BPSO) is used to optimize simultaneous machines and AGVs scheduling process with makespan minimization function. It is proven that the method is capable to provide better solution compared to others.

KW - Automated Guided Vehicle

KW - Flexible manufacturing system

KW - Particle swarm optimization

UR - http://www.scopus.com/inward/record.url?scp=79952430903&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79952430903&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:79952430903

SN - 9789881701282

SP - 1897

EP - 1902

BT - Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010

ER -