Kumar, V. ; Maull, R.S. ; Smart, P.A. ; Tiwari, M.K. (2007) Artificial Immune System (AIS) based information system to solve scheduling problem in leagile driven steel industries In: 1st International Conference on Digital Information Management, 06-06 December 2006, Bangalore, India.
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Official URL: https://doi.org/10.1109/ICDIM.2007.369225
Related URL: http://dx.doi.org/10.1109/ICDIM.2007.369225
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Source: | Copyright of this article belongs to IEEE. |
| Keywords: | Artificial immune systems; Information systems; Job shop scheduling; Metals industry; Optimal scheduling; steel; Supply chains; Scheduling algorithm; Fuzzy logic; Management information systems. |
| ID Code: | 139931 |
| Deposited On: | 05 Sep 2025 12:26 |
| Last Modified: | 05 Sep 2025 12:26 |
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