Modeling parallel movement of lifts and vehicles in tier-captive vehicle-based warehousing systems

Zou, Bipan; Xu, Xianhao; Gong, Yeming; Koster, René de

doi:10.1016/j.ejor.2016.03.039

Cited by 98 publications

(43 citation statements)

References 24 publications

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“…A number of papers have reported analytical models using a queueing network approach to describe the system performance of AVS/RS [16]. Fukunari reported a model of a lift service process as an M/G/L queue nested within an M/G/V queue, modelling the vehicle service considering both singleand dual-command cycles [17].…”

Section: Literature Reviewmentioning

confidence: 99%

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Modeling of Parallel Movement for Deep-Lane Unit Load Autonomous Shuttle and Stacker Crane Warehousing Systems

et al. 2020

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The autonomous shuttle and stacker crane (AC/SC) warehousing system, as a new automated deep-lane unit load storage/retrieval system, has been becoming more popular, especially for batch order fulfilment because of its high flexibility, low operational cost and improved storage capacity. This system consists of a shuttle sub-system that controls motion along the x-axis and a stacker crane sub-system that controls motion along the y-axis and z-axis. The combination of shuttles and a stacker crane performs storage and retrieval tasks. Modelling the parallel motion is an important design tool that can be used to calculate the optimal number of shuttles for a given configuration of the warehousing system. In this study, shuttle movements from one lane to another are inserted into the stock-keeping unit (SKU) task queue, and convert such that they are consistent with the retrieval tasks. The tasks are then grouped according to their starting lane, and converted to an assembly-line parallel job problem by analysing the operating mode with the objectives of minimising the total working time of the stacker crane and the wasted shuttle time. A time sequence mathematical model based on the motion of the shuttles and stacker crane is proposed, and an improved Pareto-optimal elitist non-dominated sorting genetic algorithm is used to solve this multi-objective optimization problem. The model is validated via a simulation study, and via a real-world warehousing case study. We go on to describe guidelines for the layout and configuration of AS/SC warehousing systems, including the optimal number of shuttles and number of x-axis storage cells of lanes, which can improve efficiency and minimise both capital investment and operating costs.

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Section: Literature Reviewmentioning

confidence: 99%

“…Furthermore, Tappia developed novel queueing network models to describe the performance of single-tier and multi-tier shuttle-based compact systems [7]. Finally, Zou proposed a parallel policy for tier-captive AVS/RSs, and formulated a fork-join queueing network to analyze system performance [16].…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling of Parallel Movement for Deep-Lane Unit Load Autonomous Shuttle and Stacker Crane Warehousing Systems

et al. 2020

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“…Marchet et al [15] 错误 ! 未找到引用源。 , Wang et al [16] , Zou et al [17] and Tappia et al [18] proposed applicable queuing network to estimate the performance of the system and compare operation strategies.…”

Section: Introductionmentioning

confidence: 99%

Optimizing replenishment base on order structure in crane & shuttle based storage and retrieval system

Ma¹,

Wang²,

Hu³

et al. 2020

Preprint

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A new automatic warehouse sorting system, the crane & shuttle based storage and retrieval system (C&SBS/RS), is proposed in this paper. In C&SBS/RS, the crane-based storage and retrieval system (CBS/RS) in the pallet storage area provides the pallets picking, the shuttle-based storage and retrieval system (SBS/RS) in the tote storage area handles the cases and items picking. When the inventory in SBS/RS is lower than safety stock, SBS/RS initiates replenishment transaction. Besides, the order matrix is proposed to study order structure parameters, such as the order density, the order strength, the wave size and so on. Moreover, this paper analyzes the influence of order structure on the replenishment with four evaluation parameters, e.g., the workload of CBS/RS and SBS/RS, the number of used storage position in SBS/RS, the replenishment time. Numerical experiments are carried out to analysis the impact of the wave size and the proportion of high turnover SKU on those four evaluation parameters under multiple order structure, which is to help warehouse operation manager decide replenishment strategy parameters.

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“…Zou [14] established a Fork-join queuing network model for the access system composed of shuttle and lift, and used decomposition method to evaluate the system performance, but the double-deep SBS/RS is different from the single-deep SBS/RS, it needs to be rearrangement. Wang [15] proposed a time sequence mathematical model of task operation based on the movement characteristics of shuttles and lifts.…”

Section: Introductionmentioning

confidence: 99%

Task Scheduling Model of Double-Deep Multi-Tier Shuttle System

et al. 2019

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As a new type of part-to-picker storage system, the double-deep multi-tier shuttle system has been developed rapidly in the e-commerce industry because of its high flexibility, large storage capacity, and robustness. The system consists of a multi-tier shuttle sub-system that controls horizontal movement and a lift sub-system that manages vertical movement. The combination of shuttles and lifts, instead of a stacker crane in conventional automated storage and retrieval system, undertakes inbound/outbound tasks. Because of the complex structure and numerous equipment of the system, task scheduling has become a major difficulty in the outbound operation of the double-deep multi-tier shuttle system. Figuring out methods to improve the overall efficiency of task scheduling operations is the focus of current system application enterprises. This paper introduces the task scheduling problem for the shuttle system. Inspired from workshop production scheduling problems, we minimize the total time of a batch of retrieval tasks as the objective function, applying the modified Simulated Annealing Algorithms (SAAs) to solve the task scheduling problem. In conclusion, we verified the proposed model and the algorithm efficiency, using case studies.

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Modeling parallel movement of lifts and vehicles in tier-captive vehicle-based warehousing systems

Cited by 98 publications

References 24 publications

Modeling of Parallel Movement for Deep-Lane Unit Load Autonomous Shuttle and Stacker Crane Warehousing Systems

Modeling of Parallel Movement for Deep-Lane Unit Load Autonomous Shuttle and Stacker Crane Warehousing Systems

Optimizing replenishment base on order structure in crane & shuttle based storage and retrieval system

Task Scheduling Model of Double-Deep Multi-Tier Shuttle System

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Modeling parallel movement of lifts and vehicles in tier-captive vehicle-based warehousing systems

Cited by 98 publications

References 24 publications

Modeling of Parallel Movement for Deep-Lane Unit Load Autonomous Shuttle and Stacker Crane Warehousing Systems

Modeling of Parallel Movement for Deep-Lane Unit Load Autonomous Shuttle and Stacker Crane Warehousing Systems

Optimizing replenishment base on order structure in crane &amp; shuttle based storage and retrieval system

Task Scheduling Model of Double-Deep Multi-Tier Shuttle System

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Optimizing replenishment base on order structure in crane & shuttle based storage and retrieval system