Simulation-optimization methods for designing and assessing resilient supply chain networks under uncertainty scenarios: A review.
- DOI
- 10.1016/j.simpat.2020.102166
- Published
- 2020-08-11
- Container
- Simul Model Pract Theory
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.simpat.2020.102166,
title = {Simulation-optimization methods for designing and assessing resilient supply chain networks under uncertainty scenarios: A review.},
author = {Tordecilla RD and Juan AA and Montoya-Torres JR and Quintero-Araujo CL and Panadero J.},
year = {2021},
journal = {Simul Model Pract Theory},
doi = {10.1016/j.simpat.2020.102166},
url = {https://doi.org/10.1016/j.simpat.2020.102166}
}RIS
TY - JOUR TI - Simulation-optimization methods for designing and assessing resilient supply chain networks under uncertainty scenarios: A review. AU - Tordecilla RD AU - Juan AA AU - Montoya-Torres JR AU - Quintero-Araujo CL AU - Panadero J. PY - 2021 JO - Simul Model Pract Theory DO - 10.1016/j.simpat.2020.102166 UR - https://doi.org/10.1016/j.simpat.2020.102166 ER -
APA
RD, T., AA, J., JR, M., CL, Q., & J., P. (2021). Simulation-optimization methods for designing and assessing resilient supply chain networks under uncertainty scenarios: A review.. Simul Model Pract Theory. https://doi.org/10.1016/j.simpat.2020.102166
Source records
- europe-pmc · retrieved 2026-09-24T20:58:51.069Z