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Shen, Qingning, Chu, Feng, Chen, Haoxun (2011) A Lagrangian relaxation approach for a multi-mode inventory routing problem with transshipment in crude oil transportation. Computers & Chemical Engineering, 35. 2113-2123 doi:10.1016/j.compchemeng.2011.01.005

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Reference TypeJournal (article/letter/editorial)
TitleA Lagrangian relaxation approach for a multi-mode inventory routing problem with transshipment in crude oil transportation
JournalComputers & Chemical Engineering
AuthorsShen, QingningAuthor
Chu, FengAuthor
Chen, HaoxunAuthor
Year2011 (October)Volume35
PublisherElsevier BV
DOIdoi:10.1016/j.compchemeng.2011.01.005Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID6608702Long-form Identifiermindat:1:5:6608702:7
GUID0
Full ReferenceShen, Qingning, Chu, Feng, Chen, Haoxun (2011) A Lagrangian relaxation approach for a multi-mode inventory routing problem with transshipment in crude oil transportation. Computers & Chemical Engineering, 35. 2113-2123 doi:10.1016/j.compchemeng.2011.01.005
Plain TextShen, Qingning, Chu, Feng, Chen, Haoxun (2011) A Lagrangian relaxation approach for a multi-mode inventory routing problem with transshipment in crude oil transportation. Computers & Chemical Engineering, 35. 2113-2123 doi:10.1016/j.compchemeng.2011.01.005
In(n.d.) Computers & Chemical Engineering Vol. 35. Elsevier BV

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Rafie-Majd, Zahra, Pasandideh, Seyed Hamid Reza, Naderi, Bahman (2018) Modelling and solving the integrated inventory-location-routing problem in a multi-period and multi-perishable product supply chain with uncertainty: Lagrangian relaxation algorithm. Computers & Chemical Engineering, 109. 9-22 doi:10.1016/j.compchemeng.2017.10.013
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Karakostas, Panagiotis, Sifaleras, Angelo, Georgiadis, Michael C. (2019) A general variable neighborhood search-based solution approach for the location-inventory-routing problem with distribution outsourcing. Computers & Chemical Engineering, 126. 263-279 doi:10.1016/j.compchemeng.2019.04.015
Zhou, Xiaofan; Feng, Li; Zhu, Aihua; Shi, Haoxu (2026) Uncertainty-aware joint inventory-transportation decisions in supply chain: A diffusion model-based multi-agent reinforcement learning approach with lead times estimation. Computers & Chemical Engineering, 207. doi:10.1016/j.compchemeng.2026.109567
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