TY - JOUR
T1 - On the Effect of Product Demand Correlation on the Storage Space Allocation Problem in a Fast-Pick Area of a Warehouse
AU - Carafí, Felipe I.Gré
AU - de Zevallos, Alberto Ossa Ortiz
AU - González-Ramírez, Rosa G.
AU - Velez-Gallego, Mario C.
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Demand Correlation
KW - Fast-pick area
KW - Order-picking
KW - Slotting problem
KW - Warehousing
UR - https://www.scopus.com/pages/publications/85116377064
UR - https://www.mendeley.com/catalogue/c5328f6a-7dbe-3df7-bdfc-4e3ec5f42ba3/
U2 - 10.1007/978-3-030-87672-2_19
DO - 10.1007/978-3-030-87672-2_19
M3 - Conference article
AN - SCOPUS:85116377064
SN - 0302-9743
SP - 282
EP - 295
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 12th International Conference on Computational Logistics, ICCL 2021
Y2 - 27 September 2021 through 29 September 2021
ER -