Estimation of processing time using machine learning and real factory data for optimization of parallel machine scheduling problem
Abstract
Traditionally, mathematical optimization methods have been applied in manufacturing industries where production scheduling is one of the most important problems and is being actively researched. Extant studies assume that processing times are known or follow a simple distribution. However, the actual processing time in a factory is often unknown and likely follows a complex distribution. Therefore, in this study, we consider estimating the...
Paper Details
Title
Estimation of processing time using machine learning and real factory data for optimization of parallel machine scheduling problem
Published Date
Jan 1, 2021
Volume
8
Pages
100196 - 100196
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