Warehouse Setup Problem in Logistics: A Truck Transportation Cost Model-Reference-Cited by-同舟云学术

Warehouse Setup Problem in Logistics: A Truck Transportation Cost Model

Published:2020 Issue: Volume: Page:43-62
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Sachan Rohit Kumar,Kushwaha Dharmender Singh

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-52246-9_4

Reference32 articles.

1. India’s e-commerce retail logistics growth story. Technical report, KPMG (2016)

2. India warehousing market report-2018. Technical report, Knight Frank (2018)

3. Leads: Logistic ease across different states. Technical report, Deloitte (2018)

4. Adeh, I.M., Baroughi, F., Alizadeh, B.: A modified particle swarm optimization algorithm for general inverse ordered p-median location problem on networks. In: Facta Universitatis. Mathematics and Informatics, pp. 447–468 (2017)

5. Alumur, S., Kara, B.Y.: Network hub location problems: the state of the art. Eur. J. Oper. Res. 190(1), 1–21 (2008)

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A realistic and sustainable logistics transportation planning: a new cost model, meta-heuristic solving approach, and results;Evolutionary Intelligence;2024-06-18

2. Performance evaluation of anti-predatory nature-inspired algorithm for small scale to very high scale problems;International Journal of Information Technology;2024-06-08

3. Performance Evaluation of Anti-Predatory Nature-Inspired Algorithm on the CEC'14 Test Suites;2023 6th International Conference on Contemporary Computing and Informatics (IC3I);2023-09-14

4. Logistic Management in the Supply Chain Market Using Bio-Inspired Models With IoT Assistance;International Journal of Information Systems and Supply Chain Management;2022-10-07

5. A Multi-Objective Anti-Predatory NIA for E-Commerce Logistics Optimization Problem;International Journal of Applied Metaheuristic Computing;2021-10