Dataset for solving a hybrid flexibility strategy on personnel scheduling problem in the retail industry.

Porto AF, Henao CA, López-Ospina H, González ER, González VI

DOI: 10.1016/j.dib.2020.106066
Published: 2020 Oct
Container: Data in brief
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.dib.2020.106066,
  title = {Dataset for solving a hybrid flexibility strategy on personnel scheduling problem in the retail industry.},
  author = {Porto AF and Henao CA and López-Ospina H and González ER and González VI},
  year = {2020},
  journal = {Data in brief},
  doi = {10.1016/j.dib.2020.106066},
  url = {https://doi.org/10.1016/j.dib.2020.106066}
}

RIS

TY  - JOUR
TI  - Dataset for solving a hybrid flexibility strategy on personnel scheduling problem in the retail industry.
AU  - Porto AF
AU  - Henao CA
AU  - López-Ospina H
AU  - González ER
AU  - González VI
PY  - 2020
JO  - Data in brief
DO  - 10.1016/j.dib.2020.106066
UR  - https://doi.org/10.1016/j.dib.2020.106066
ER  -

APA

AF, P., CA, H., H, L., ER, G., & VI, G. (2020). Dataset for solving a hybrid flexibility strategy on personnel scheduling problem in the retail industry.. Data in brief. https://doi.org/10.1016/j.dib.2020.106066

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pubmed · retrieved 2026-09-25T06:25:33.496Z