Artificial Immune System (AIS) based information system to solve scheduling problem in leagile driven steel industries

Author

Kumar, V. ; Maull, R.S. ; Smart, P.A. ; Tiwari, M.K.

Author_Institution

Dept. of Manage., Univ. Of Exeter, Exeter

fYear

2006

fDate

6-6 Dec. 2006

Firstpage

373

Lastpage

380

Abstract

The fast changing market scenario and shifting consumer interest has enforced the steel industries to upgrade their traditional supply chain with the modern leagile ones to compete in the market. The paper shows the importance of the information obtained by a new hybrid AIS-FLC algorithm in which the Artificial Immune System inheriting Fuzzy Logic Controller (AIS-FLC) tool has been utilized for scheduling the charges in steel industries. The results have been compared with those obtained from GA, simple AIS, and some of the priority rules to show the efficacy of the AIS-FLC algorithm. The paper also emphasizes on managing the information to improve the performance of steel industries.

Keywords

agile manufacturing; artificial immune systems; fuzzy control; information systems; lean production; production control; scheduling; steel industry; supply chain management; artificial immune system based information system; fuzzy logic controller; leagile driven steel industry; scheduling problem; supply chain; Artificial immune systems; Fuzzy logic; Information systems; Job shop scheduling; Management information systems; Metals industry; Optimal scheduling; Scheduling algorithm; Steel; Supply chains;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Information Management, 2006 1st International Conference on

Conference_Location

Bangalore

Print_ISBN

1-4244-0682-X

Type

conf

DOI

10.1109/ICDIM.2007.369225

Filename

4221917