Unit-load storage assignment strategy for warehouses in seismic areas

Bortolini, Marco; Botti, Lucia; Cascini, Alessandro; Gamberi, Mauro; Mora, Cristina; Pilati, Francesco

doi:10.1016/j.cie.2015.05.023

Cited by 24 publications

(15 citation statements)

References 57 publications

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“…Cost reduction studies focused on different aspects of warehouse design and operations. Some of the studies focused on the racks layout to develop some configurations other than traditional parallel picking aisles layout to reduce the total traveled distance by the forklift fleet, [5][6][7][8] some other studies focused on applying the new technologies such as autonomous vehicle storage retrieval systems to more efficiently ship the products. [9][10][11][12] Moreover, there are studies that focused on reducing the overall time and cost of material handling in the warehouse, [13][14][15][16] (routing the forklifts to have both put-away and order-picking operations in a same cycle, 17 and reducing the consumed energy and released emissions by the warehousing operations, 18 and so on.…”

Section: Literature Reviewmentioning

confidence: 99%

Storage allocation in a warehouse based on the forklifts fleet availability

Ghalehkhondabi

Masel

2018

Journal of Algorithms & Computational Technology

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Product allocation is one of the most important duties in warehousing operations. Based on the time and the number of products to put away and retrieve, storage allocation can directly affect the efficiency of a warehouse in terms of both response and operation time. Traditionally, the product storage allocation is done based on the less distance of shipment but focusing on distance may decrease the efficiency of a warehouse in terms of efficient utilization of resources such as warehouse inbound shipping fleet. This paper proposes a storage space allocation model that considers the availability of forklift fleet in a warehouse instead of product shipping distance. The numerical example shows that storing the products based on the proposed model can reduce the volume of forklift fleet idle hours on days with fewer volume of receiving and shipping outs. The proposed model also reduces the overtime working hours on days with higher volume of receiving and shipping out products.

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Section: Literature Reviewmentioning

confidence: 99%

Storage allocation in a warehouse based on the forklifts fleet availability

Ghalehkhondabi

Masel

2018

Journal of Algorithms & Computational Technology

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“…Otto et al (2017) generalized the combined ergonomic storage assignment and zoning problem with the objective of minimizing the maximum ergonomic load among all workers. Bortolini et al (2015) addressed the unit-load assignment problem, which consists of defining an effective strategy of unit assignment to minimize the average travel time in storage and recovery operations. Another variation was called the space allocation and aisle-positioning problem by Bodnar and Lysgaard (2014), in a shelving system with gravity flow that sought to minimize the total number of replacements in a period, subject to accessibility and security of storage locations.…”

Section: Fig 4 Distribution Of the Type Of Applicationmentioning

confidence: 99%

“…These include Ene et al (2016), who considered the minimization of energy consumption in manual warehouses through a model based on GA, and Battini et al (2016), who investigated the problem of storage allocation in manual selection systems, considering human energy expenditure and order processing time. Finally, Bortolini et al (2015) proposed the introduction of structural stability as a measure of performance in areas of high seismicity. Table 10 Approaches and authors of performance measures Fig.…”

Section: Fig 13 Classification Of Performance Measuresmentioning

confidence: 99%

“…Within the framework of environmental aspects, important points of study have included seismic conditions and energy efficiency. For such reasons, we suggest more analysis of configurations and storage policies based on load units, structural stability of storage locations and the influence of geological conditions (Bortolini et al, 2015). Moreover, greater consideration of energy consumption within optimization approaches should contribute to better environmental practices (Ene et al, 2016).…”

Section: Configuration Of the Operationmentioning

confidence: 99%

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The storage location assignment problem: A literature review

2019

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The storage of goods plays a crucial role in warehouse management systems. Although this operation is often considered simple, it is in fact complex, due to the volume of products, the uncertainty in demands, and the rapid customer service response that the market requires. Moreover, the optimization of logistical resources to maintain an efficient operational flow, such as the allocation of storage spaces, often requires complex decisions. In this paper, we analyze academic contributions on the storage location assignment problem published between 2005 and 2017. The literature is classified according to the solution methods, objectives, and related considerations. Suggestions are also provided for future research.

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“…Yang et al [7] researched the location assignment and sequencing in multishuttle automated storage/retrieval systems under the modified 2nd-command cycle pattern employing the integrated optimization problem. Bortolini et al [8] studied the so-called unit-load assignment problem for industrial warehouses located in the seismic fields employing a novel integer linear programming model. e optimization outcomes of the PSO, the GA, and the AFSA were compared for the space allocation of cargo problems by Zhang et al [9].…”

Section: Introductionmentioning

confidence: 99%

The Optimization of the Location of the Cargo in Three-Dimension Shelf: Employing the FP-Tree and the Artificial Fish Swarm Algorithms

Zhang

Wang

et al. 2020

Journal of Control Science and Engineering

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The allocation issues of the location of the cargo have affected the operational efficiency of retail e-commerce warehouses tremendously. Adjusting the cargo location with the change of the order and the operation of the warehouse is a significant research area. A novel approach employing the FP-Tree and the Artificial Fish Swarm Algorithms is proposed. Firstly, energy consumption and shelf stability are employed for the location-allocation. Secondly, the association rules among product items are obtained by the FP-Tree Algorithm to mine frequent list of items. Furthermore, the frequency and the weight of product items are taken into account to ensure the local stability of the shelf during data mining. Thirdly, another method of the location-allocation is obtained with the objectives of the energy consumption and the overall shelf stability along with the frequent items stored nearby that is conducted by the Artificial Fish Swarm Algorithm. Finally, the picking order distance is obtained through two methods of the location-allocation above. The performance and efficiency of the novel introduced method have been confirmed by running the experiment. The outcomes of the simulation suggest that the introduced method has a higher performance concerning criterion called the picking order distance.

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Unit-load storage assignment strategy for warehouses in seismic areas

Cited by 24 publications

References 57 publications

Storage allocation in a warehouse based on the forklifts fleet availability

Storage allocation in a warehouse based on the forklifts fleet availability

The storage location assignment problem: A literature review

The Optimization of the Location of the Cargo in Three-Dimension Shelf: Employing the FP-Tree and the Artificial Fish Swarm Algorithms

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