Stockyard Storage Space Allocation in Dry Bulk Terminals Considering Mist Cannons and Energy Expenditure

X. Tang; F. Schulte

doi:10.1007/978-3-031-43612-3_9

Stockyard Storage Space Allocation in Dry Bulk Terminals Considering Mist Cannons and Energy Expenditure

Transport Engineering and Logistics

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

Storage space management in bulk terminals has become an important focus for research and practical operation due to the increasing demand for bulk cargo and limited storage space in stockyards. The study of storage space management in dry bulk terminals is less thorough and comprehensive, and the existing research investigates the storage space allocation problem with other operational problems like berth allocation problems, but little environmental consideration has been incorporated. We investigate the storage space allocation problem with the consideration of stacker-reclaimer assignment and mist cannon operation to deal with the dust generated during material stacking. A mixed integer programming model has been established with the aim of minimizing energy consumption to reflect the pursuit of the growing emphasis on climate-neutral operations and sustainability. We test the effectiveness of the model by conducting computational experiments. We use the commercial solver CPLEX to obtain the optimal solutions for most of the test instances. Useful managerial insights extracted from the computational results may serve as a reference for storage space management in dry bulk terminals.

Original language	English
Title of host publication	Computational Logistics
Subtitle of host publication	Proceedings 14th International Conference, ICCL 2023
Editors	Joachim R. Daduna, Gernot Liedtke, Xiaoning Shi, Stefan Voß
Publisher	Springer
Pages	154-169
ISBN (Electronic)	978-3-031-43612-3
ISBN (Print)	978-3-031-43611-6
DOIs	https://doi.org/10.1007/978-3-031-43612-3_9
Publication status	Published - 2023

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14239 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Storage space allocation
Dry bulk terminal
Mist cannon operations
Stacker-reclaimer operations
Energy consumption

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10.1007/978-3-031-43612-3_9

978-3-031-43612-3_9Final published version, 466 KB

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Tang, X., & Schulte, F. (2023). Stockyard Storage Space Allocation in Dry Bulk Terminals Considering Mist Cannons and Energy Expenditure. In J. R. Daduna, G. Liedtke, X. Shi, & S. Voß (Eds.), Computational Logistics : Proceedings 14th International Conference, ICCL 2023 (pp. 154-169). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14239 LNCS). Springer. https://doi.org/10.1007/978-3-031-43612-3_9

Tang, X. ; Schulte, F. / Stockyard Storage Space Allocation in Dry Bulk Terminals Considering Mist Cannons and Energy Expenditure. Computational Logistics : Proceedings 14th International Conference, ICCL 2023. editor / Joachim R. Daduna ; Gernot Liedtke ; Xiaoning Shi ; Stefan Voß. Springer, 2023. pp. 154-169 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Tang, X & Schulte, F 2023, Stockyard Storage Space Allocation in Dry Bulk Terminals Considering Mist Cannons and Energy Expenditure. in JR Daduna, G Liedtke, X Shi & S Voß (eds), Computational Logistics : Proceedings 14th International Conference, ICCL 2023. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14239 LNCS, Springer, pp. 154-169. https://doi.org/10.1007/978-3-031-43612-3_9

Stockyard Storage Space Allocation in Dry Bulk Terminals Considering Mist Cannons and Energy Expenditure. / Tang, X.; Schulte, F.
Computational Logistics : Proceedings 14th International Conference, ICCL 2023. ed. / Joachim R. Daduna; Gernot Liedtke; Xiaoning Shi; Stefan Voß. Springer, 2023. p. 154-169 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14239 LNCS).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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PY - 2023

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N2 - Storage space management in bulk terminals has become an important focus for research and practical operation due to the increasing demand for bulk cargo and limited storage space in stockyards. The study of storage space management in dry bulk terminals is less thorough and comprehensive, and the existing research investigates the storage space allocation problem with other operational problems like berth allocation problems, but little environmental consideration has been incorporated. We investigate the storage space allocation problem with the consideration of stacker-reclaimer assignment and mist cannon operation to deal with the dust generated during material stacking. A mixed integer programming model has been established with the aim of minimizing energy consumption to reflect the pursuit of the growing emphasis on climate-neutral operations and sustainability. We test the effectiveness of the model by conducting computational experiments. We use the commercial solver CPLEX to obtain the optimal solutions for most of the test instances. Useful managerial insights extracted from the computational results may serve as a reference for storage space management in dry bulk terminals.

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Tang X , Schulte F. Stockyard Storage Space Allocation in Dry Bulk Terminals Considering Mist Cannons and Energy Expenditure. In Daduna JR, Liedtke G, Shi X, Voß S, editors, Computational Logistics : Proceedings 14th International Conference, ICCL 2023. Springer. 2023. p. 154-169. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-43612-3_9

Stockyard Storage Space Allocation in Dry Bulk Terminals Considering Mist Cannons and Energy Expenditure

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