The time-window strategy in the online order batching problem.
In: International Journal of Production Research, Jg. 62 (2024-06-15), Heft 12, S. 4446-4469
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Zugriff:
When an order arrives at a warehouse it is usually assigned to a batch and a decision is made on how long to wait before assigning the batch to a picker and starting the picking tour. If the idle time of the pickers is minimised, the batch is immediately assigned, and the picking starts. Alternatively, if a time window is introduced, other orders may arrive, and more efficient batches may be formed. The method to decide how long to wait (the time-window strategy) is therefore important but, surprisingly, almost completely overlooked in the literature. In this paper, we demonstrate that this lack of attention is unwarranted, and that the time-window method significantly influences the overall warehouse performance. In the context of the online order batching problem (OOBP), we first demonstrate that the effects of different time-window strategies are independent of the methods used to solve the other subproblems of the OOBP (batching and routing). Second, we propose two new time-window strategies, compare them to existing methods, and prove that our methods outperform those in the literature under various scenarios. Finally, we show how time-window methods influence different objective functions of the OOBP when varying numbers of orders and pickers. [ABSTRACT FROM AUTHOR]
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Titel: |
The time-window strategy in the online order batching problem.
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Autor/in / Beteiligte Person: | Gil-Borrás, Sergio ; Pardo, Eduardo G. ; Jiménez, Ernesto ; Sörensen, Kenneth |
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Zeitschrift: | International Journal of Production Research, Jg. 62 (2024-06-15), Heft 12, S. 4446-4469 |
Veröffentlichung: | 2024 |
Medientyp: | academicJournal |
ISSN: | 0020-7543 (print) |
DOI: | 10.1080/00207543.2023.2263884 |
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