The storage location assignment problem (SLAP), also known as the slotting problem involves the decisions of how much and where should be stored each stock keeping unit (SKU) in the fast-pick area with the aim to minimize total order-picking and replenishment costs associated to the distance traveled by the picking operators. Motivated by this, we propose to analyze the impact of SKUs demand correlation on the slotting decisions. Based on an experimental design, the effects of SKUs with correlated demand are analyzed. Results show that the most significant factor with respect to the total distance traveled is the number of orders, followed by the capacity of the bins and the number of bins in each location. Results of an instance solved to optimality by a commercial solver and a greedy heuristic in which the latter does not consider the demand correlation illustrate the impact that demand correlation has on the solution obtained.
|Title of host publication||Computational Logistics - 12th International Conference, ICCL 2021, Proceedings|
|Editors||Martijn Mes, Eduardo Lalla-Ruiz, Stefan Voß|
|Publisher||Springer Science and Business Media Deutschland GmbH|
|Number of pages||14|
|State||Published - 2021|
|Event||12th International Conference on Computational Logistics, ICCL 2021 - Virtual, Online|
Duration: 27 Sep 2021 → 29 Sep 2021
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Conference||12th International Conference on Computational Logistics, ICCL 2021|
|Period||27/09/21 → 29/09/21|
Bibliographical notePublisher Copyright:
© 2021, Springer Nature Switzerland AG.
- Demand Correlation
- Fast-pick area
- Slotting problem