1715. Data-Driven Job Dispatching Under Uncertainty: A Case Study in Weaving Process
Invited abstract in session MC-28: Manufacturing and Industrial Decision Support, stream Decision Support Systems.
Monday, 12:30-14:00Room: Maurice Keyworth 1.03
Authors (first author is the speaker)
| 1. | Wen-Chih Chen
|
| Department of Industrial Engineering and Management, National Yang Ming Chiao Tung University | |
| 2. | Feng-Yu Wu
|
| National Yang Ming Chiao Tung University |
Abstract
This study is motivated by a real-world application in Taiwan’s textile industry, specifically the development of a decision support system for job dispatching in the weaving process. The problem presents several key challenges, including uncertainties in decision-making, limited available data, the need to balance trade-offs in learning from past outcomes, and the dynamic nature of the operational environment. To address these challenges, we propose an online learning algorithm that adapts to evolving conditions. Numerical experiments demonstrate the effectiveness of the proposed approach in improving decision quality under uncertainty.
Keywords
- Decision Support Systems
- Manufacturing
- Practice of OR
Status: accepted
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