A Necessity-Based Optimization Approach for Closed-Loop Logistics Considering Carbon Emission Penalties and Rewards under Uncertainty
- DOI
- 10.3390/math11214516
- Published
- 2023-11-01
- Container
- Mathematics
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/math11214516,
title = {A Necessity-Based Optimization Approach for Closed-Loop Logistics Considering Carbon Emission Penalties and Rewards under Uncertainty},
author = {Botang Li and Kaiyuan Liu and Qiong Chen and Yui-yip Lau and Maxim A. Dulebenets},
year = {2023},
journal = {Mathematics},
doi = {10.3390/math11214516},
url = {https://doi.org/10.3390/math11214516}
}RIS
TY - JOUR TI - A Necessity-Based Optimization Approach for Closed-Loop Logistics Considering Carbon Emission Penalties and Rewards under Uncertainty AU - Botang Li AU - Kaiyuan Liu AU - Qiong Chen AU - Yui-yip Lau AU - Maxim A. Dulebenets PY - 2023 JO - Mathematics DO - 10.3390/math11214516 UR - https://doi.org/10.3390/math11214516 ER -
APA
Li, B., Liu, K., Chen, Q., Lau, Y., & Dulebenets, M. A. (2023). A Necessity-Based Optimization Approach for Closed-Loop Logistics Considering Carbon Emission Penalties and Rewards under Uncertainty. Mathematics. https://doi.org/10.3390/math11214516
Source records
- crossref · retrieved 2026-11-06T05:47:50.296Z