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

Ghomri, Latéfa; Rimouche, Ali

doi:10.1080/00207543.2022.2161113

International Journal of Production Research

2022

DOI: 10.1080/00207543.2022.2161113

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

Latéfa Ghomri

Ali Rimouche

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Cited by 3 publications

References 39 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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Dual cycle time modelling and design optimisation for the bidirectional flow-rack AS/RS

Mohammed Adel,

Zaki,

Leila

2023

International Journal of Production Research

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Multi-AGV-Driven Pallet-Picking Scheduling Optimization (MADPSO): A Method for Flexible Multi-Level Picking Systems

Li,

Chen,

Zhou

et al. 2024

Applied Sciences

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In the context of increasingly competitive shipbuilding, the flexible multi-level picking system, composed of high-rise shelves, Automated Guided Vehicles (AGVs), and picking stations, has been of gradual interest because of its advantages in operation efficiency, system flexibility, and system robustness. Compared with other simple-level systems, the flexible multi-level picking system has a more complex coupling temporal relationship, which makes the scheduling optimization of shipbuilding automated collaborative order picking (SACOP) extremely difficult. In order to avoid the dilemma of finding a feasible and optimal collaborative scheduling scheme under the constraints of a complex temporal relationship, this paper proposed a multi-AGV-driven pallet-picking scheduling optimization (MADPSO) method, which takes the AGV scheduling scheme as the direct solution and modifies it to a feasible solution under the reasonably designed interaction strategy of stacker, AGV, and the interaction strategy of picking station, AGV. Furthermore, taking the minimum energy consumption and operation time as the optimization objectives, a multi-objective optimization mathematical model was established to describe MADPSO, and an improved NSGA-III algorithm was designed to solve the problem. Finally, several experiments were conducted in various scenarios and verified that using MADPSO can achieve a comprehensive optimization index improvement of 52.02–75.66% compared with traditional picking methods, which has a certain reference significance for shipyards.

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

Cited by 3 publications

References 39 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

Dual cycle time modelling and design optimisation for the bidirectional flow-rack AS/RS

Multi-AGV-Driven Pallet-Picking Scheduling Optimization (MADPSO): A Method for Flexible Multi-Level Picking Systems

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