Travel-time model of dual-command cycles in a 3D compact AS/RS with lower mid-point I/O dwell point policy

Xu, Xianhao; Gong, Yeming; Fan, Xiangxiang; Shen, Guwen; Zou, Bipan

doi:10.1080/00207543.2017.1361049

Cited by 32 publications

(18 citation statements)

References 47 publications

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“…Simulation results proved that dedicated lifts per rack better perform in case of rack shape factor less than 1, while dedicated lifts per job are to be preferred when the shape factor is greater than 1. Xu et al (2018) extended to DCs the travel time calculation for AS/RSs with lower midpoint I/O dwell point policy. developed an analytical model to determine travel times in multi-deep AS/RSs with both random and class-based storage policies.…”

Section: Research On Computation Of Travel Timementioning

confidence: 99%

An approach for computing AS/R systems travel times in a class-based storage configuration

Schenone

Mangano

Grimaldi

et al. 2020

Production & Manufacturing Research

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This study provides an approach to compute the travel time for AS/R systems in a class-based storage environment. A regression analysis is completed in order to define the importance of the key predictors taken into account and to propose a formulation of travel times. The results show the reliability of the model and allow to evaluate the travel time through the identification of a complete list of predictors. The proposed approach supports managers in theex-ante definition of travel times for a warehouse. A correct evaluation of travel times enables a better monitoring of the performance of warehouse operations and can support practitioners in the choice of the configuration not only in terms of kind of cycle, but also from a policy assignment perspective. From a theoretical point of view, this work can be considered as an attempt to refine the existing methods to compute travel times.

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Section: Research On Computation Of Travel Timementioning

confidence: 99%

An approach for computing AS/R systems travel times in a class-based storage configuration

Schenone

Mangano

Grimaldi

et al. 2020

Production & Manufacturing Research

View full text Add to dashboard Cite

show abstract

“…Then these models were used to perform optimization in order to find out optimal ratio between the three dimensions that minimize travel time. For the same system, [32] presented mathematical model of the dual cycle when the machine dwell point is in lower mid-point, then established the optimal system dimensions using these models. However, mathematical modelling is also used to evaluate performance of other AS/RS types than high-density storage systems.…”

Section: Literature Reviewmentioning

confidence: 99%

Cycle time models for the bidirectional flow-rack AS/RS

Hamzaoui¹,

Sari²

2020

FME Transactions

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This paper deals with the bidirectional flow-rack AS/RS (Automated Storage and Retrieval System). This system was recently introduced in the literature. In this paper, models that consider the system from a holistic aspect are presented in order to grasp its real systemic running. The adopted modelling approach allows obtaining closed form and easy to use equations that model the expected required time to carry out storage/retrieval transactions for the whole system. The paper presents derived continuous models for these transaction. These latter are easy to use to perform mathematical investigations, as optimization, throughput evaluation, systems comparison etc. However, they are not completely faithful to the real system behavior. This is why also discrete models were developed, which are much more accurate, and which were used as a benchmark to evaluate the accuracy of the continuous ones. To do so, a self-made software was developed, and results could be extracted and discussed.

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“…Liu et al (2016) have presented continuous travel model for the DC in the SP-AS/RS under input and output dwell point policy and shown that the square-in-time rack incurs the smallest expected travel time and that the DC is better than SC in terms of the expected travel time. Xu et al (2018) have developed a continuous travel time model for DC in 3D compact storage system and used analytical models for optimize system dimensions.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of Container Relocation Operations in Port Container Terminals

2019

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The relocation of containers is a crucial operation in container ports all around the world. The Container Relocation Problem (CRP) is focused upon to find a sequence of container retrievals in a defined order from a single yard container bay with a minimum number of relocations. The goal of this paper is to find out if Genetic Algorithm (GA) can give new insights in the problem of solving the CRP. In this paper we focus on the two-dimensional, static, offline and restricted CRP of real-world yard container bays. Four rules are proposed for determining the position of relocated containers. We applied GA to find the best sequence of container retrievals according to these four rules in order to minimize the number of relocations within the bay. The experimental testing was run on a total of 800 different instances with varying bay sizes and number of containers. The given results are compared with the results of different authors using other heuristic methods. The results show that the proposed model solves CRP and achieves near optimal solutions.

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Travel-time model of dual-command cycles in a 3D compact AS/RS with lower mid-point I/O dwell point policy

Cited by 32 publications

References 47 publications

An approach for computing AS/R systems travel times in a class-based storage configuration

An approach for computing AS/R systems travel times in a class-based storage configuration

Cycle time models for the bidirectional flow-rack AS/RS

Optimization of Container Relocation Operations in Port Container Terminals

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