Material Tracking System

Bachelor Thesis (2019)
Author(s)

T.F. Edixhoven (TU Delft - Electrical Engineering, Mathematics and Computer Science)

H.C. van Geffen (TU Delft - Electrical Engineering, Mathematics and Computer Science)

S.W. Kruit (TU Delft - Electrical Engineering, Mathematics and Computer Science)

M. Smit (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

Mauricio Aniche – Mentor (TU Delft - Software Engineering)

Otto Visser – Graduation committee member (TU Delft - Computer Science & Engineering-Teaching Team)

H Wang – Graduation committee member (TU Delft - Multimedia Computing)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2019 Tom Edixhoven, Hunter van Geffen, Bas Kruit, Mels Smit
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Tom Edixhoven, Hunter van Geffen, Bas Kruit, Mels Smit
Graduation Date
03-07-2019
Awarding Institution
Delft University of Technology
Sponsors
Tata Steel
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

For a steel company it is advantageous to be able to easily track steel through the production process. At Tata Steel this is currently done with the Material Tracking Table. However, generating this table takes months. Therefore a new system had to be developed. This paper describes the building of such a new system, which generates this Material Tracking Table in less than 1 hour, as well as the related systems concerning the acquisition of the input data and the visualisation of the resulting output data.

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