The parallel stack loading problem minimizing the number of reshuffles in the retrieval stage
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Abstract
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DOI: 10.1016/j.ejor.2019.08.005
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Cited by:
- Sven Boge & Sigrid Knust, 2023. "The blocks relocation problem with item families minimizing the number of reshuffles," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(2), pages 395-435, June.
- Feng, Yuanjun & Song, Dong-Ping & Li, Dong, 2022. "Smart stacking for import containers using customer information at automated container terminals," European Journal of Operational Research, Elsevier, vol. 301(2), pages 502-522.
- Boge, Sven & Goerigk, Marc & Knust, Sigrid, 2020. "Robust optimization for premarshalling with uncertain priority classes," European Journal of Operational Research, Elsevier, vol. 287(1), pages 191-210.
- Raeesi, Ramin & Sahebjamnia, Navid & Mansouri, S. Afshin, 2023. "The synergistic effect of operational research and big data analytics in greening container terminal operations: A review and future directions," European Journal of Operational Research, Elsevier, vol. 310(3), pages 943-973.
- Zhang, Canrong & Wang, Qi & Yuan, Guoping, 2023. "Novel models and algorithms for location assignment for outbound containers in container terminals," European Journal of Operational Research, Elsevier, vol. 308(2), pages 722-737.
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Keywords
Logistics; Storage loading; Reshuffles; Stacking problems;All these keywords.
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