Travel time models for automated warehouses with aisle transferring storage and retrieval machine

Lerher, Tone; Potrč, Iztok; Šraml, Matjaž; Tollazzi, Tomaž

doi:10.1016/j.ejor.2010.01.025

Cited by 66 publications

(37 citation statements)

References 14 publications

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“…[17,18] have developed analytical travel time models for multi-aisle AS/RS considering the operating characteristics of the S/R machine. With proposed analytical travel time models, average cycle time, from which the performance of multi-aisle AS/RS can be evaluated, was determined.…”

Section: Avs/ Rsmentioning

confidence: 99%

Travel time model for shuttle-based storage and retrieval systems

Lerher

Ekren

Đukić

et al. 2015

Int J Adv Manuf Technol

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118

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This paper presents analytical travel time model for the computation of travel (cycle) time for shuttlebased storage and retrieval systems (in continuation SBS/RS). The proposed model considers the operating characteristics of the elevators lifting table and the shuttle carrier, such as acceleration and deceleration and the maximum velocity. Assuming uniform distributed storage rack locations and using the probability theory, the expressions of the cumulative distribution functions with which the mean travel time is calculated, have been determined. The proposed model enables the calculation of the mean travel (cycle) time for the single and dual command cycles, from which the performance of SBS/ RS can be evaluated. The approximation model and a simulation model of SBS/RS have been used to compare the performances of the proposed analytical travel time model. The analysis shows that regarding all examined types of SBS/RS, the results of proposed analytical travel time model for SBS/RS correlate with the results of simulation models of SBS/RS.

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Section: Avs/ Rsmentioning

confidence: 99%

Travel time model for shuttle-based storage and retrieval systems

Lerher

Ekren

Đukić

et al. 2015

Int J Adv Manuf Technol

Self Cite

118

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“…Constraint (14) represents that if any aisle (other than the current one) has an item for retrieval, then there is only one item in that aisle which is selected first for retrieval. Constraint (15) prevents any items in current aisle a c from being selected as a first retrieval item.…”

Section: I)mentioning

confidence: 99%

“…(13)(14)(15)(16)(17)(18)(19)(20)(21)(22) using Lingo solver. Then, we solve the problem according to the STD heuristic.…”

Section: Numerical Studiesmentioning

confidence: 99%

“…In the latter one, they considered the operating characteristics of the storage and retrieval machine such as acceleration and deceleration and the maximum velocity. Other related works addressing the travel time models and evaluating the proposed models are Lerher et al [14] for double-deep AS/RSs and Lerher et al [12,13] for shuttle-based storage and retrieval systems. Kouloughli and Sari [8] presented analytical models of the cycle time for multi-aisle AS/RS and evaluated the optimal dimensions of the system for a minimum cycle time.…”

Section: Introductionmentioning

confidence: 99%

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A travel time model for order picking systems in automated warehouses

Khojasteh

Son

2016

Int J Adv Manuf Technol

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This paper addresses an order picking problem in a multi-aisle automated warehouse, in which a single storage/ retrieval (S/R) machine performs storage and retrieval operations. When retrieval requests consist of multiple items and the items are in multiple stock locations, the S/R machine must travel to several storage locations to complete a customer order. The objective is to minimize the total time traveled by the S/R machine to complete the retrieval process of customer orders at the shortest time. First, we formulate the problem as a nonlinear programming model. Then, we propose a heuristic to solve the problem. Finally, we provide numerical experiments to evaluate the performance of the proposed heuristic. The results show that as the number of items in customer order increases, the heuristic shows a better performance by obtaining solutions close to optimal but in very small amount of times.

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“…Although this work considered a single non-captive crane serving several aisles, it assumed that both the storage and the retrieval operations associated with a given cycle were performed in the same aisle. Later on, Lerher et al (2010a) extended this work to a more complex situation where the storage and the retrieval operations can be performed in different aisles.…”

Section: Literature Reviewmentioning

confidence: 99%

Sequencing approaches for multiple-aisle automated storage and retrieval systems

Gagliardi

Renaud

Ruiz

2015

International Journal of Production Research

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Automated Storage and Retrieval Systems (AS/RS) are used in high velocity distribution centers to provide accurate and fast order processing. While almost every industrial system is comprised of many aisles, most of the academic research on the operational aspects of AS/RS is devoted to single-aisle systems, probably due to the broadly accepted hypothesis proposing that an m aisles system can be modeled as m 1-aisle independent systems. In this article we present two multi-aisles sequencing approaches and evaluate their performance when all the aisles are managed independently first, and then in a global manner. Computational experiments conducted on a multi-aisle AS/RS simulation model clearly demonstrate that a multi-aisle system cannot be accurately represented by multiple single-aisle systems. The numerical results demonstrate that, when dealing with random storage, globally sequencing multi-aisle AS/RS leads to makespan reductions ranging from 14% up to 29% for 2 and 3-aisle systems, respectively.

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Travel time models for automated warehouses with aisle transferring storage and retrieval machine

Cited by 66 publications

References 14 publications

Travel time model for shuttle-based storage and retrieval systems

Travel time model for shuttle-based storage and retrieval systems

A travel time model for order picking systems in automated warehouses

Sequencing approaches for multiple-aisle automated storage and retrieval systems

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