A simulation analysis of impact of design and storage policy on performance of single-crane multi-aisle AS/RS

Singbal, Vishwesh; Adil, Gajendra Kumar

doi:10.1016/j.ifacol.2019.11.432

Cited by 7 publications

(8 citation statements)

References 9 publications

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“…Computing automated storage and retrieval system travel time under different storage assignment polices Storage assignment strategies profoundly affect many warehouse operational aspects and performances, in particular the travel distance and time in AS/RSs as well as the throughput rate among the key aspects (Manzini, 2012). The available literature shows that several ways to assign products to AS/RS storage locations have been proposed by both academicians and practitioners (Singbal and Adil, 2019). Hausman et al back in 1976 presented a research describing the impacts on the travel time computation of the following three main storage assignment policies: random storage, dedicated storage and class-based storage.…”

Section: Literature Reviewmentioning

confidence: 99%

“…A fixed vertical position of the I/O station is considered in this work. A simulation model is also proposed by Singbal and Adil (2019) to discuss more in depth multi-aisle AS/RSs with different storage policies. This model describes the impact of storage policies and different design parameters, such as the number of aisles, the shape factor b and the skewness parameter, on the computation of the expected travel time of S/R machine.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The second group of works, instead, looks at warehouse management and proposes travel time computation approaches under different storage policies, such as random, dedicated or class-based ones, and retrieval strategies, like sequencing of different orders into a batch (Gu et al , 2010; Lee, 2014). Finally, a number of authors discuss travel time estimation by taking into account both the topics mentioned above (Singbal and Adil, 2019; Schenone et al , 2020).…”

Section: Introductionmentioning

confidence: 99%

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AS/R system travel time in class-based storage with different input-output point levels: a proposed formula

Hoshimov

Cagliano

Mangano

et al. 2022

JFM

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Purpose This paper aims to propose a simulation model integrated with an empirical regression analysis to provide a new mathematical formulation for automated storage and retrieval system (AS/RS) travel time estimation under class-based storage and different input/output (I/O) point vertical levels. Design/methodology/approach A simulation approach is adopted to compute the travel time under different warehouse scenarios. Simulation runs with several I/O point levels and multiple shape factor values. Findings The proposed model is extremely precise for both single command (SC) and dual command (DC) cycles and very well fitted for a reliable computation of travel times. Research limitations/implications The proposed mathematical formulation for estimating the AS/RS travel time advances widely applied methodologies existing in literature. As well as, it provides a practical implication by supporting faster and more accurate travel time computations for both SC and DC cycles. However, the regression analysis is conducted based on simulated data and can be refined by numerical values coming from real warehouses. Originality/value This work provides a new simulation model and a refined mathematical equation to estimate AS/RS travel time.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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AS/R system travel time in class-based storage with different input-output point levels: a proposed formula

Hoshimov

Cagliano

Mangano

et al. 2022

JFM

View full text Add to dashboard Cite

show abstract

“…The performance of a storage and retrieval system at different dwell point's strategies was modeled and measured by [11]. Different storage policies and design parameters in simulations were tested by [12] to better understand travel times using SCC. In order to evaluate the design and control rules of an AS/RS, several performance measures were reviewed [3].…”

Section: Simulation Based Efficient Optimisationmentioning

confidence: 99%

“…Due to the limitations inherent in their mechanical design and associated control architecture, stacker cranes have reached their maximum performance [2]. Consequently, many researchers have tried to develop algorithms that apply different storage policies to optimize the service time, thus improving the system efficiency [12][13][14][15]. Others have tried to develop the system operating mode using the concept of a dwell point, where the stacker crane would stop when no new orders are available [16,17].…”

Section: Problem Statementmentioning

confidence: 99%

Automated Stacker Cranes: A Two-Step Storage Reallocation Process for Enhanced Service Efficiency

Salah

Alnahhal

2021

Processes

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Automated storage and retrieval systems (AS/RS) play a key role in improving the performance of automated manufacturing systems, warehouses, and distribution centers. In the modern manufacturing industry, the term (AS/RS) refers to various methods under computer control for storing and retrieving loads automatically from defined storage locations. Using an (AS/RS) is not considered a value-added activity. Therefore, the longer (AS/RS) travels, the more expensive the warehousing process becomes. This paper presents an algorithm for minimizing total travel distance/time between input/output (I/O) stations. The proposed algorithm is used to manage the storage and retrieval orders on warehouse shelves in class-based storage on the storage racks. It contains two steps: the first step is to evacuate some storage compartments (locations) near the I/O station; in the second step, some tote bins are reallocated to compartments closer to the I/O station. Among the features of this algorithm are mechanisms that determine the number of reallocated tote bins, which tote bins to reallocate, and in which direction (toward the I/O station or away from it). A simulation model using R software developed specifically for this purpose was used to validate the suggested method. Based on the results, the new method can reduce the service time per order by about 10% to 20%, depending on parameters like the number of orders and the height of the storage rack.

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A Robust Design Integration in Non-Traditional Unit Load Warehouses

Rao

Roy

2022

IFAC-PapersOnLine

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A simulation analysis of impact of design and storage policy on performance of single-crane multi-aisle AS/RS

Cited by 7 publications

References 9 publications

AS/R system travel time in class-based storage with different input-output point levels: a proposed formula

AS/R system travel time in class-based storage with different input-output point levels: a proposed formula

Automated Stacker Cranes: A Two-Step Storage Reallocation Process for Enhanced Service Efficiency

A Robust Design Integration in Non-Traditional Unit Load Warehouses

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