A hybrid CFGTSA based approach for scheduling problem: A case study of an automobile industry

Tung Sun Chan; Vikas Kumar; H. K. Chan; Sai Ho Chung

doi:10.1109/ICSMC.2006.385107

A hybrid CFGTSA based approach for scheduling problem: A case study of an automobile industry

Tung Sun Chan, Vikas Kumar, H. K. Chan, Sai Ho Chung

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

In the global competitive world swift, reliable and cost effective production subject to uncertain situations, through an appropriate management of the available resources, has turned out to be the necessity for surviving in the market. This inspired the development of the more efficient and robust methods to counteract the existing complexities prevailing in the market. The present paper proposes a hybrid CFGTSA algorithm inheriting the salient features of GA, TS, SA, and chaotic theory to solve the complex scheduling problems commonly faced by most of the manufacturing industries. The proposed CFGTSA algorithm has been tested on a scheduling problem of an automobile industry, and its efficacy has been shown by comparing the results with GA, SA, TS, GTS, and hybrid TSA algorithms.

Original language	English
Title of host publication	2006 IEEE International Conference on Systems, Man and Cybernetics
Publisher	IEEE
Pages	5041-5046
Number of pages	6
Volume	6
ISBN (Print)	1424401003, 9781424401000
DOIs	https://doi.org/10.1109/ICSMC.2006.385107
Publication status	Published - 1 Jan 2007
Externally published	Yes
Event	2006 IEEE International Conference on Systems, Man and Cybernetics - Taipei, Taiwan Duration: 8 Oct 2006 → 11 Oct 2006

Conference

Conference	2006 IEEE International Conference on Systems, Man and Cybernetics
Country/Territory	Taiwan
City	Taipei
Period	8/10/06 → 11/10/06

Keywords

CFGTSA
Chaotic theory
GA
SA
Scheduling
TS

ASJC Scopus subject areas

General Engineering

More information

10.1109/ICSMC.2006.385107

Cite this

@inproceedings{f12a0babfffc4c35bdac3e8a2de6a787,

title = "A hybrid CFGTSA based approach for scheduling problem: A case study of an automobile industry",

abstract = "In the global competitive world swift, reliable and cost effective production subject to uncertain situations, through an appropriate management of the available resources, has turned out to be the necessity for surviving in the market. This inspired the development of the more efficient and robust methods to counteract the existing complexities prevailing in the market. The present paper proposes a hybrid CFGTSA algorithm inheriting the salient features of GA, TS, SA, and chaotic theory to solve the complex scheduling problems commonly faced by most of the manufacturing industries. The proposed CFGTSA algorithm has been tested on a scheduling problem of an automobile industry, and its efficacy has been shown by comparing the results with GA, SA, TS, GTS, and hybrid TSA algorithms.",

keywords = "CFGTSA, Chaotic theory, GA, SA, Scheduling, TS",

author = "Chan, {Tung Sun} and Vikas Kumar and Chan, {H. K.} and Chung, {Sai Ho}",

year = "2007",

month = jan,

day = "1",

doi = "10.1109/ICSMC.2006.385107",

language = "English",

isbn = "1424401003",

volume = "6",

pages = "5041--5046",

booktitle = "2006 IEEE International Conference on Systems, Man and Cybernetics",

publisher = "IEEE",

address = "United States",

note = "2006 IEEE International Conference on Systems, Man and Cybernetics ; Conference date: 08-10-2006 Through 11-10-2006",

}

Chan, TS, Kumar, V, Chan, HK & Chung, SH 2007, A hybrid CFGTSA based approach for scheduling problem: A case study of an automobile industry. in 2006 IEEE International Conference on Systems, Man and Cybernetics. vol. 6, 4274716, IEEE, pp. 5041-5046, 2006 IEEE International Conference on Systems, Man and Cybernetics, Taipei, Taiwan, 8/10/06. https://doi.org/10.1109/ICSMC.2006.385107

A hybrid CFGTSA based approach for scheduling problem: A case study of an automobile industry. / Chan, Tung Sun; Kumar, Vikas; Chan, H. K. et al.
2006 IEEE International Conference on Systems, Man and Cybernetics. Vol. 6 IEEE, 2007. p. 5041-5046 4274716.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - A hybrid CFGTSA based approach for scheduling problem: A case study of an automobile industry

AU - Chan, Tung Sun

AU - Kumar, Vikas

AU - Chan, H. K.

AU - Chung, Sai Ho

PY - 2007/1/1

Y1 - 2007/1/1

N2 - In the global competitive world swift, reliable and cost effective production subject to uncertain situations, through an appropriate management of the available resources, has turned out to be the necessity for surviving in the market. This inspired the development of the more efficient and robust methods to counteract the existing complexities prevailing in the market. The present paper proposes a hybrid CFGTSA algorithm inheriting the salient features of GA, TS, SA, and chaotic theory to solve the complex scheduling problems commonly faced by most of the manufacturing industries. The proposed CFGTSA algorithm has been tested on a scheduling problem of an automobile industry, and its efficacy has been shown by comparing the results with GA, SA, TS, GTS, and hybrid TSA algorithms.

AB - In the global competitive world swift, reliable and cost effective production subject to uncertain situations, through an appropriate management of the available resources, has turned out to be the necessity for surviving in the market. This inspired the development of the more efficient and robust methods to counteract the existing complexities prevailing in the market. The present paper proposes a hybrid CFGTSA algorithm inheriting the salient features of GA, TS, SA, and chaotic theory to solve the complex scheduling problems commonly faced by most of the manufacturing industries. The proposed CFGTSA algorithm has been tested on a scheduling problem of an automobile industry, and its efficacy has been shown by comparing the results with GA, SA, TS, GTS, and hybrid TSA algorithms.

KW - CFGTSA

KW - Chaotic theory

KW - GA

KW - SA

KW - Scheduling

KW - TS

UR - http://www.scopus.com/inward/record.url?scp=34548141876&partnerID=8YFLogxK

U2 - 10.1109/ICSMC.2006.385107

DO - 10.1109/ICSMC.2006.385107

M3 - Conference article published in proceeding or book

SN - 1424401003

SN - 9781424401000

VL - 6

SP - 5041

EP - 5046

BT - 2006 IEEE International Conference on Systems, Man and Cybernetics

PB - IEEE

T2 - 2006 IEEE International Conference on Systems, Man and Cybernetics

Y2 - 8 October 2006 through 11 October 2006

ER -

A hybrid CFGTSA based approach for scheduling problem: A case study of an automobile industry

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this