Travel time analysis and dimension optimisation design of double-ended compact storage system

Yan, Qing; Lu, Jiangfeng; Tang, Hongtao; Zhan, Yan; Zhang, Xuemei; Li, Yingde

doi:10.1080/00207543.2022.2136283

International Journal of Production Research

2022

DOI: 10.1080/00207543.2022.2136283

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Travel time analysis and dimension optimisation design of double-ended compact storage system

Qing Yan

Jiangfeng Lu

Hongtao Tang

et al.

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Cited by 4 publications

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Modeling and optimization of expected travel time for multi‐aisle AS/RSs with two‐class‐based storage policy

2024

Naval Research Logistics

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Class‐based storage policy with optimized contour‐shaped class boundary can significantly improve storage system's performance. Surprisingly, this policy has not been explored in widely used multi‐aisle automated storage and retrieval systems (MA‐AS/RSs), which use one storage and retrieval machine to serve multiple aisles with the help of an aisle‐transfer technique. This paper investigates the two‐class‐based storage policy with contour‐shaped class boundary in MA‐AS/RSs that use a transfer car for aisle transfer. The aim is to optimize the system dimensions and class boundary by minimizing system's expected travel time. Based on the approximation of the MA‐AS/RS with a continuous cube and the proposed hierarchical procedure, analytical expected travel time expressions for systems with any dimensions and class boundary are calculated. In addition, based on several proved properties, closed‐form optimal system dimensions and class boundary are derived. Numerical results show the accuracy of our continuous cubic approximation is sufficient. By measuring the performance using the average of expected travel time over all tested systems with various dimensions, we find that (1) class‐based policy with our optimal class boundary can respectively improve the performance by at least 40%, 10%, and 50% compared to three previous policies in the case of 20/80 ABC curve; and (2) system with our optimal dimensions can improve the performance by about 20%–30%. Several managerial insights for warehouse practitioners are presented.

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Modeling and optimization of expected travel time for multi‐aisle AS/RSs with two‐class‐based storage policy

2024

Naval Research Logistics

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AGV and Industry 4.0 in warehouses: a comprehensive analysis of existing literature and an innovative framework for flexible automation

Ellithy,

Salah,

Fahim

et al. 2024

Int J Adv Manuf Technol

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The just-in-time concept, mass customization, omnichannel distribution, and the rising global population have all fueled the logistics sector. Consequently, using automation inside the warehouses to make them more dynamic and sustainable for the future is one of the crucial components to adapt to this quick shift. Giants in the industry and technology are becoming more interested in the “smart warehouse” system, built with innovative warehousing technologies, as an achievable solution for the development of warehouses in the future. To contextualize the past and provide light on prospective future directions, a study of current articles in the literature is important. This study evaluates works published in the previous 32 years related to flexible automation in warehouses to create a framework that future academics might use to guide them in establishing an original conceptual model that might be implemented at warehouses. One hundred eleven selected, examined, and categorized publications were published between 1990 and 2022 to establish a significant foundation for earlier research. Results indicated that combining automated machinery, collecting data technologies, and management systems are essential to creating a flexible automated warehouse. Finally, based on the examined literature, a flexible automated warehouse framework is suggested to direct future research in this field.

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Modelling and optimisation of single-cycle time for mobile rack AS/RS

Ghomri

Rimouche

2022

International Journal of Production Research

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Travel time analysis and dimension optimisation design of double-ended compact storage system

Cited by 4 publications

References 47 publications

Modeling and optimization of expected travel time for multi‐aisle AS/RSs with two‐class‐based storage policy

Modeling and optimization of expected travel time for multi‐aisle AS/RSs with two‐class‐based storage policy

AGV and Industry 4.0 in warehouses: a comprehensive analysis of existing literature and an innovative framework for flexible automation

Modelling and optimisation of single-cycle time for mobile rack AS/RS

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