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Storage space allocation problem at inland bulk material stockyard

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journal contribution
posted on 2021-03-25, 14:27 authored by Defeng Sun, Ying Meng, Lixin Tang, Jiyin LiuJiyin Liu, Baobin Huang, Jiefu Yang
© 2020 Elsevier Ltd We consider the storage space allocation problem at an inland bulk stockyard, which aims to find an effective way to store the shapeless materials. Due to the specific storage and handling means in the stockyard, unloading, stacking and reclaiming operations need to be scheduled in an integrated manner. Viewing the space of each stock pad in the yard as a series of unit slots, we first develop a novel MIP formulation which can avoid generating scattered small fields. We then decompose the model by exploiting the relationships among the above operations, and develop a logic-based Benders approach to solve it optimally.

Funding

Fund for Innovative Research Groups of the National Natural Science Foundation of China (71621061)

Major International Joint Research Project of the National Natural Science Foundation of China (71520107004)

Major Program of National Natural Science Foundation of China (71790614)

111 Project (B16009)

Fundamental Research Funds for the Central Universities in China (N182803004)

History

School

  • Business and Economics

Department

  • Business

Published in

Transportation Research Part E: Logistics and Transportation Review

Volume

134

Publisher

Elsevier

Version

  • AM (Accepted Manuscript)

Rights holder

© Elsevier

Publisher statement

This paper was accepted for publication in the journal Transportation Research Part E: Logistics and Transportation Review and the definitive published version is available at https://doi.org/10.1016/j.tre.2020.101856

Acceptance date

2020-01-11

Publication date

2020-01-28

Copyright date

2020

ISSN

1366-5545

Language

  • en

Depositor

Prof Jiyin Liu. Deposit date: 19 March 2021

Article number

101856

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