Aug 24, 2019 · By this, LT scattering decreases while process and planning reliability increases. However, current planning systems do not support a more ...

This leads to an increasing complexity of production and subsequently planning. In order to reliably meet due dates, it is necessary to improve the quality of ...

In particular, the influence of the modelling of production knowledge of experienced employees on the prediction quality compared to a pure optimization of the ...

This leads to an increasing complexity of production and subsequently planning. In order to reliably meet due dates, it is necessary to improve the quality of ...

Impact of Modeling Production Knowledge for a Data Based Prediction of Transition Times. https://doi.org/10.1007/978-3-030-30000-5_43.

Impact of Modeling Production Knowledge for a Data Based Prediction of Transition Times. Schuh, Günther; Prote, Jan-Philipp; Hünnekes, Philipp; Sauermann ...

A method of modeling the time of object transition between given pairs of cameras based on the Gaussian Mixture Model (GMM) is proposed in this article.

... Impact of Modeling Production Knowledge for a Data Based Prediction of Transition Times VL - 566 CY - Cham PB - Springer International Publishing M1 - RWTH ...

In this article, resulting prediction improvements for order-specific transition times based on methods of machine learning are presented

In this paper, a data mining approach is presented that increases planning quality by a databased prediction of order-specific transition times, and thus ...