How to determine slot sizes in a unit-load warehouse

Cardona, Luis Felipe; Gue, Kevin R.

doi:10.1080/24725854.2018.1509159

Cited by 7 publications

(2 citation statements)

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“…Ang ve Lim [53] adanmış depolama politikası uygulanan depolarda depolama sınıflarının yerleşimini optimize etmek için frekansa dayalı yeni bir yaklaşım önermişlerdir. Cardona ve Gue [54][55] depo raf yüksekliklerinin palet yüksekliklerinin dağılımına bağlı olarak belirlenmesi durumunu incelemişler ve birden çok raf yüksekliğine sahip tasarımların nasıl oluşturulacağını belirten bir metot önermişlerdir.…”

Section: De Koster Ve Van Der Poortunclassified

Evaluating the shape and the mid-cross-aisle location in a multi-dock unit-load warehouse design

TUTAM¹

2022

Pamukkale J Eng Sci

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Section: De Koster Ve Van Der Poortunclassified

Evaluating the shape and the mid-cross-aisle location in a multi-dock unit-load warehouse design

TUTAM¹

2022

Pamukkale J Eng Sci

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“…Warehouse layout design has a significant impact on the walking distance in picking operations and exceeds 60% [29]. The current literature on warehouse layout design also mostly focuses on travel cost or distance minimization as the optimization objective [6,12,14,[30][31][32], with less consideration of operating costs [33], storage location assignment [34], storage space utilization [35,36], warehouse throughput [37,38], and operational strategies [39][40][41][42]. Warehouse layout problems can be divided into two categories according to their specific design: one is the layout of facilities and equipment, and the other is the design of the internal aisles of the warehouse [6].…”

Section: Warehouse Layoutsmentioning

confidence: 99%

Performance Analysis of Picking Routing Strategies in the Leaf Layout Warehouse

et al. 2022

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The routing strategy for order picking is an important factor in the efficiency of warehouse picking, and improvements to the warehouse layout provide more routing options for picking. The number of storage locations to be visited during the picking operation also has an impact on the selection of routing strategies. In order to achieve an effective improvement in the efficiency of picking operations in warehouse distribution centers, this paper focuses on the leaf warehouse layout based on the previous single-command operation strategy and extends it to study the multi-command operation strategy, in which three heuristic routing strategies, the S-shape, the return, and the composite, are introduced to solve the walking distance problem of picking operations, with the study of the selection of the routing strategy for different numbers of storage locations to be visited. Based on the distance equation between any two storage locations to be visited in the leaf layout warehouse, travel distance models corresponding to the three routing strategies in the picking operation are constructed, and the cuckoo search algorithm is introduced to solve and calculate the travel distance of the composite strategies for the experiments. In addition, the computational experiments of the three path strategies are carried out according to the different numbers of storage locations to be visited in the picking operation. By analyzing the numerical results, we find that the composite strategy has the best overall results among the three routing strategies, with the average values of optimization rates exceeding 30% (the S-shape) and 40% (the return), respectively. At the same time, the return strategy outperforms the S-shape strategy when the number of locations to be visited is less than seven. As the number of locations to be visited increases, the S-shape strategy gradually outperforms the return strategy. From a managerial and practical perspective, compared to the single-command operation strategy that is the focus of the current research, the multi-command operation strategy we studied is more relevant to the actual situation of order merging picking in warehouses and can effectively improve the efficiency of picking operations, the competitiveness of enterprises, and customer satisfaction of e-commerce enterprises.

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