Valid Inequality and Variable Fixation for Unrestricted Block Relocation Problems
Document Type
Article
Publication Date
10-1-2022
Abstract
In modern logistics and smart warehouse, a terminal exists as a hub to connect multiple transportation modes and exchange goods. Solving a block relocation problem (BRP) arising from block retrieval processes in a terminal is fundamentally important to enhance the terminal's overall efficiency and save its energy. In this paper, we improve the state-of-the-art mixed integer programming (MIP) formulation of an unrestricted BRP by extracting valid inequalities from structural properties and proposing a new variable fixation method to solve it. Computational results show that the improved model can be optimally solved much more easily than the original model. Among over five-hundred benchmark instances with height limits, the improved model can solve 12.3% more than the original one. For the instances that can be optimally solved by the latter, the improved model shows six times faster speed than the latter. This work represents a significant advance in this important area.
Identifier
85127060612 (Scopus)
Publication Title
IEEE Transactions on Intelligent Transportation Systems
External Full Text Location
https://doi.org/10.1109/TITS.2022.3151069
e-ISSN
15580016
ISSN
15249050
First Page
18822
Last Page
18834
Issue
10
Volume
23
Recommended Citation
Liu, Shuo; Liu, Shixin; Lu, Chao; Zhou, Meng Chu; and Abusorrah, Abdullah, "Valid Inequality and Variable Fixation for Unrestricted Block Relocation Problems" (2022). Faculty Publications. 2637.
https://digitalcommons.njit.edu/fac_pubs/2637