Bruno Mota
Luis Gomes
Pedro Faria
Carlos Ramos
Zita Vale
2020-11-05
<p>The case study of this dataset uses real production data, provided by a textile company that manufactures hang tags. Their working schedule is from 7h00 of Monday to 23h00 of Saturday. This dataset uses a period of 5 minutes for all task durations and energy data. The case study considers a six-day period from 7h00 of Monday to 23h00 of Saturday. The scheduling algorithm was used for three machines that share the same cell.<br>
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The API can be found at <http://www.gecad.isep.ipp.pt/api/spear/><br>
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File Description:</p>
<ul>
<li>Input_JSON_Schedule_Optimization - JSON input data for the schedule optimization</li>
<li>Output_JSON_Schedule_Optimization - JSON output data for the schedule optimization</li>
<li>Output_Statistics_Schedule_Optimization - Excel output schedule optimization statistics</li>
</ul>
The present work has received funding from National Funds through FCT under the project UIDB/00760/2020
https://doi.org/10.5281/zenodo.4106746
oai:zenodo.org:4106746
Zenodo
https://doi.org/10.5281/zenodo.4106745
info:eu-repo/semantics/openAccess
MIT License
https://opensource.org/licenses/MIT
genetic algorithm
task scheduling
Production line dataset for task scheduling and energy optimization - Schedule Optimization
info:eu-repo/semantics/other