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http://dx.doi.org/10.7838/jsebs.2020.25.1.001

A Decision Monitoring System for Machine Learning Based Dispatcher of Manufacturing Lines  

Huh, Jaeseok (Department of Business Administration, Korea Polytechnic University)
Park, Jonghun (Department of Industrial Engineering and Institute for Industrial Systems Innovation, Seoul National University)
Publication Information
The Journal of Society for e-Business Studies / v.25, no.1, 2020 , pp. 1-12 More about this Journal
Abstract
Recently, research using machine learning have shown remarkable results in various domains, leading to the fact that leaning-based dispatchers have intrigued interest in both academia and industry. To improve the performance of the dispatcher, each dispatch decision needs to be evaluated in detail. However, existing studies on visualization techniques for manufacturing lines have mainly focused on illustrating the performance indicators or abnormal patterns. In this paper, we propose a monitoring system that displays a variety of information about the manufacturing line along with alternatives at the time of each dispatching decision being made. Furthermore, the proposed system effectively represents the cause of the idle time of resources and the change of the performance index over time.
Keywords
Monitoring System; Learning-Based Dispatcher; Dispatching Decision; Gantt Chart; Performance Evaluation;
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