Green urban logistics path planning design based on physical network system in the context of artificial intelligence
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-023-05796-x.pdf
Reference35 articles.
1. Zarbakhshnia N, Soleimani H, Goh M, SaraRazavid S (2019) A novel multi-objective model for green forward and reverse logistics network design. J Clean Prod 208:1304–1316
2. Mei Q (2020) Research on optimization of B2B cold chain logistics distribution path under new retail mode. Int Core J Eng 6(3):227–237
3. Lei S, Chen C, Li Y (2019) Resilient disaster recovery logistics of distribution systems: co-optimize service restoration with repair crew and mobile power source dispatch. IEEE Trans Smart Grid 10(6):6187–6202
4. Ferrell W, Ellis K, Kaminsky P, Rainwater C (2020) Horizontal collaboration: opportunities for improved logistics planning. Int J Prod Res 58(14):4267–4284
5. Bortolini R, Formoso CT, Viana DD, Hou Y (2019) Site logistics planning and control for engineer-to-order prefabricated building systems using BIM 4D modeling. Autom Constr 98:248–264
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