Designing self-storage warehouses with customer choice

Zhou, Shuyu; Gong, Yeming; Koster, René de

doi:10.1080/00207543.2016.1158880

Cited by 12 publications

(2 citation statements)

References 30 publications

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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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Section: Warehouse Layoutsmentioning

confidence: 99%

Performance Analysis of Picking Routing Strategies in the Leaf Layout Warehouse

et al. 2022

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“…The results show that it is an advantageous approach to the classic ABC method, but requires the formulation of a complex problem and its resolution through a simulation of a metaheuristic method, which is not easy. In the paper already cited, Zhou et al [8] present a new approach called self-managed warehouses is shown, whose use has rapidly grown in the world and are a universal trend. The problem in such a warehouse is the need for re-doing the layout frequently, so it is necessary to have direct ways to reconfigure the space continuously.…”

Section: Derpich J Sepulvedamentioning

confidence: 99%

Lagrangian Formulation for Energy-efficient Warehouse Design

Dérpich

Sepúlveda

2016

INT J COMPUT COMMUN

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Energy consumption in modern warehouses is today an important issue which has not received much attention in the scientific community. In this paper it is addressed the problem of warehouse design considering the energy costs incurred by vehicles and equipment in a fully or partially automated facility. Closed-form solutions are obtained by a formulating the Lagrangian of an operational cost function with equality constraints. The contribution of the paper is to develop formulas for reduced energy consumption and pollution, both relevant aspects in sustainable engineering systems. An example applied to a distributor of MRO items is presented. In this version the energy cost is integrated into the formula, modifying the method presented in [1].a

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Trends and new practical applications for warehouse allocation and layout design: a literature review

Albert,

Rönnqvist,

Lehoux

2023

SN Appl. Sci.

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Companies’ productivity is critical in contemporary warehouse environment to maintain efficiency and competitiveness within their supply chain. Warehousing operations are well known for their impact on the overall supply chain and need to be wisely managed. Among those activities, allocation planning and layout design are some of the most important concepts in practice. Current research tends to emphasize homogeneous environment, which leaves heterogeneous and non-standard cases with less attention, even today. This paper aims to review the literature regarding warehouse allocation planning and layout design methods that could suit practical industry problems, with a focus on heterogeneous and non-standard spare parts. It also aims to describe the current trends in these fields. Following a literature review methodology, a total of fifty-seven articles were reviewed to identify the methods developed and used. The reviewed papers were also investigated in order to identify research gaps and future directions. The analysis concluded that more research is needed to better understand and optimize heterogeneous and non-standard spare parts environments in terms of allocation and layout design. More practical case applications also remain a gap to address. Article highlights This article evaluates 8 concepts/parameters related to warehouse allocation operation. This is to ensure a deep analysis of heterogeneous and non-standard parts presence in literature. A research gap is identified regarding heterogeneous and non-standard parts in warehouse allocation and layout design methods in the scientific literature. This article evaluates 3798 scientific papers over a 20-year timeframe. From this, we present 57 methods and 8 gaps in scientific literature.

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Designing self-storage warehouses with customer choice

Cited by 12 publications

References 30 publications

Performance Analysis of Picking Routing Strategies in the Leaf Layout Warehouse

Performance Analysis of Picking Routing Strategies in the Leaf Layout Warehouse

Lagrangian Formulation for Energy-efficient Warehouse Design

Trends and new practical applications for warehouse allocation and layout design: a literature review

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