An Efficient Approach to Investigate the Tradeoff between Double Handling and Needed Capacity in Automated Distribution Centers

Alnahhal, Mohammed; Salah, Bashir; Ruzayqat, Mohammed

doi:10.3390/su14137678

Cited by 3 publications

(2 citation statements)

References 31 publications

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“…Among the drivers for sustainability is automation, which is crucial to the longterm sustainable development goals [52]. There are many factors affecting sustainable development in the current logistics warehousing system.…”

Section: Conclusion and Future Research 41 Conclusionmentioning

confidence: 99%

“…On the one hand, there are low efficiency, high error rate, and high cost, but the application of automation technology can solve these problems very well. In addition, using automation in warehouses is considered as a green solution [52]. On the other hand, automation technology is related to energy consumption, and few articles have made some progress in this field.…”

Section: Conclusion and Future Research 41 Conclusionmentioning

confidence: 99%

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Shuttle-Based Storage and Retrieval System: A Literature Review

2022

Sustainability

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While the e-commerce logistics industry is developing rapidly, its sustainable development has received certain attention. The ultimate goal of sustainable development is to achieve common, coordinated, fair, efficient, and multi-dimensional development. To promote the sustainable development of logistics, the automation technology of warehousing is undoubtedly an excellent breakthrough, since the automation technology can not only make the warehousing system efficient and with a low-error rate, but also affect the energy consumption of the warehousing system. This paper studies the Shuttle-Based Storage and Retrieval System (SBS/RS) in automated warehousing. Moreover, the paper classifies the existing literature into three categories: Physical design (including depth, configuration, and number of tiers); control strategy (including scheduling rules, storage strategies, scheduling command, and interference); and performance evaluation (including throughput, time, and energy). These categories are all factors that warehouse designers must consider when designing a system. Finally, this paper proposes future research directions for SBS/RS: Adding speed metrics, limiting buffer size, targeting space constraints, applying four-way shuttles, and increasing the carrying capacity of a single machine.

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Section: Conclusion and Future Research 41 Conclusionmentioning

confidence: 99%

Section: Conclusion and Future Research 41 Conclusionmentioning

confidence: 99%

Shuttle-Based Storage and Retrieval System: A Literature Review

2022

Sustainability

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Efficient Material Flow and Storage Space Determination in Automated Distribution Centers

Alnahhal,

Gjeldum,

Ruzayqat

2024

Journal of Engineering

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There can be two automated storage and retrieval systems (AS/RS) in the same distribution center: one for pallets and the other for cases. Full pallets or half‐full pallets are depalletized and moved to the case storage system. The number of cases depalletized daily for an item needs to be determined based on the average daily demand for that item. Too many depalletized cases ahead of time will inflate the required storage capacity of the case storage system. On the other hand, depalletizing only the necessary cases day by day might lead to too frequent material flow, and therefore more stacker cranes are necessary. Therefore, the number of depalletized pallets affects the number and utilization of stacker cranes in the pallet storage system. It also affects the needed space in the case storage system. This study determines the most efficient number of depalletized cases for three classes of items (A, B, and C), which are determined based on their daily demand. This is done using three scenarios. The total cost is minimized, considering the utilization of the two storage systems. More investigation was done for B items, which have daily demand levels of one layer of cases or more, but less than pallet size. First, analytical equations were formulated to model the system. The model was solved using a genetic algorithm (GA) with special chromosome representations. Results showed that B items can be grouped into two subgroups that are replenished based on two different material flow scenarios. Items with relatively large demand levels have scenario 3 as the optimal one. Results also showed that the model reduces both total costs and stacker crane utilization while improving system flexibility.

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Optimization of Storage Location Assignment for Non-Traditional Layout Warehouses Based on the Firework Algorithm

Zhang

2023

Sustainability

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With the development of logistics, sustainable warehousing has become increasingly important. To promote the warehousing efficiency, non-traditional layout warehouses and storage location assignments have been proposed separately. However, they are rarely combined. Taking inspiration from the advantages of non-traditional layout warehouses and storage location assignments, a storage location assignment optimization algorithm for non-traditional layout warehouses is proposed to further improve the efficiency and sustainability of warehousing. By reducing the picking distance and picking time, this algorithm further boosts the warehouse efficiency and sustainability, saving energy in the process and resulting in positive effects on the environment and the economy. In the process of establishing the model, taking the order-picking efficiency and shelf stability as optimizing objectives, a multi-objective optimization model is derived. Then, a storage location assignment optimization algorithm based on the firework algorithm is developed using adaptive strategies for explosion and selection to enhance the convergence rate and optimization performance of the algorithm. With this approach, the storage location assignment optimization for non-traditional layout warehouses can be handled well. Finally, a set of comparative simulations is carried out with MATLAB, and the results show various positive effects for sustainable warehouse management, such as a higher order-picking efficiency, better shelf stability, time and resource savings, and so on.

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An Efficient Approach to Investigate the Tradeoff between Double Handling and Needed Capacity in Automated Distribution Centers

Cited by 3 publications

References 31 publications

Shuttle-Based Storage and Retrieval System: A Literature Review

Shuttle-Based Storage and Retrieval System: A Literature Review

Efficient Material Flow and Storage Space Determination in Automated Distribution Centers

Optimization of Storage Location Assignment for Non-Traditional Layout Warehouses Based on the Firework Algorithm

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