Mathirajan, M and Sujan, R and Rani, MV and Dhaval, P (2023) A machine learning algorithm for scheduling a burn-in oven problem. In: International Journal of Industrial and Systems Engineering, 43 (1). pp. 20-58.
Full text not available from this repository. (Request a copy)Abstract
This study applies artificial neural network (ANN) to achieve more accurate parameter estimations in calculating job-priority-data of jobs and the same is applied in a proposed dispatching rule-based greedy heuristic algorithm (DR-GHA) for efficiently scheduling a burn-in oven (BO) problem. The integration of ANN and DR-GHA is called as a hybrid neural network (HNN) algorithm. Accordingly, this study proposed eight variants of HNN algorithms by proposing eight variants of DR-GHA for scheduling a BO. The series of computational analyses (empirical and statistical) indicated that each of the variants of proposed HNN is significantly enhancing the performance of the respective proposed variants of DR-GHA for scheduling a BO. That is, more accurate parameter estimations in calculating job-priority-data for DR-GHA via back-propagation ANN leads to high-quality schedules w.r.t. total weighted tardiness. Further, proposed HNN variant: HNN-ODD is outperforming relatively with other HNN variants and provides very near optimal/estimated solution. Copyright © 2023 Inderscience Enterprises Ltd.
| Item Type: | Journal Article |
|---|---|
| Publication: | International Journal of Industrial and Systems Engineering |
| Publisher: | Inderscience Publishers |
| Additional Information: | The copyright for this article belongs to Inderscience Publishers. |
| Keywords: | Backpropagation; Job shop scheduling; Neural networks; Optimal systems; Ovens; Parameter estimation; Scheduling algorithms; Semiconductor device manufacture, Dispatching rule-based greedy heuristic algorithm; Dispatching rules; Estimated optimal solution; GHA; Greedy heuristic algorithm; Greedy heuristics; Heuristics algorithm; Hybrid neural networks; Optimal solutions; Rule based; Semiconductor manufacturing, Heuristic algorithms |
| Department/Centre: | Division of Interdisciplinary Sciences > Management Studies |
| Date Deposited: | 21 Feb 2023 04:18 |
| Last Modified: | 21 Feb 2023 04:18 |
| URI: | https://eprints.iisc.ac.in/id/eprint/80564 |
Actions (login required)
 |
View Item |
