Travel time analysis of a new automated storage and retrieval system

Hu, Yahong; Huang, Shell Ying; Chen, Chuan-Yu; Hsu, Wen-Jing; Toh, Ah Cheong; Loh, Chee Kit; Song, Tiancheng

doi:10.1016/j.cor.2003.11.020

Cited by 91 publications

(86 citation statements)

References 18 publications

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“…Finally, some authors present travel time estimates for less frequently used types of AS/RSs, such as a rotating tower cranes (Koh et al, 2002), heavy load platform based AS/RSs (Hu et al, 2005) and flow-rack AS/RSs (Sari et al, 2005).…”

Section: Travel Time Models For Other Types Of As/rssmentioning

confidence: 99%

A survey of literature on automated storage and retrieval systems

Roodbergen

Vis

2009

European Journal of Operational Research

498

208

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Automated Storage and Retrieval Systems (AS/RSs) are warehousing systems that are used for the storage and retrieval of products in both distribution and production environments. This paper provides an overview of literature from the past 30 years. A comprehensive explanation of the current state of the art in AS/RS design is provided for a range of issues such as system configuration, travel time estimation, storage assignment, dwell point location, and request sequencing. The majority of the reviewed models and solution methods are applicable to static scheduling and design problems only. Requirements for AS/RSs are, however, increasingly of a more dynamic nature for which new models will need to be developed to overcome large computation times and finite planning horizons, and to improve system performance. Several other avenues for future research in the design and control of AS/RSs are also specified.

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Section: Travel Time Models For Other Types Of As/rssmentioning

confidence: 99%

A survey of literature on automated storage and retrieval systems

Roodbergen

Vis

2009

European Journal of Operational Research

498

208

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“…However in comparison with randomized storage, due to the reductions in the average retrieval travel time and considering the trend of average storage time which was discussed above, for the ABC factor of 20/60, when 0.5, the minimum expected travel time is obtained around 1, whereas when 0.5 the expected travel time improves as the rack becomes non-square and the value of approaching 0.0625. Here, the throughput performance of the system is defined as the reciprocal of the average travel time for the S/R mechanism to handle a job [12]. In order to obtain the throughput performance results, for example, according to Table I when 1 and 0.5, the average travel time is 10.55 sec.…”

Section: Travel Time Model Under Class-based Storagementioning

confidence: 99%

“…As different expressions must be used to obtain the expected travel time for a storage operation and a retrieval operation, it is necessary to distinguish the operation type in order to obtain the formula to describe the expected travel time [12]. The formula is, ,…”

Section: B Travel Time Model Under Randomize Storage [10]mentioning

confidence: 99%

Travel Time Analysis of an Open-Rack Miniload AS/RS under Class-Based Storage Assignments

Vasili¹,

Hong²

2016

IJET

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Abstract-Automated storage and retrieval system (AS/RS) is one of the major warehousing systems, which is widely used in distribution centers and automated production and can play an essential role in modern factories for work-in-process storage, as well asin integrated manufacturing systems. In this study an open-rack miniload AS/RS with unidirectional-upward mobile loads within the rack is considered. In this system, the stacker crane is used for the retrieval operations and shuffling procedures, while the storage operations are carried out by separate devices namely, storage platforms. The proposed AS/RS has one storage platform for each rack to unload several loads at the same time into the rack. Travel time of the proposed AS/RS is analyzed under class-based storage policy by means of Monte Carlo simulation. The results of this study can be used as guidelines for the design and analysis of this kind of AS/RS. Index Terms-Automated storage and retrieval systems (AS/RS), Open-rack miniload AS/RS, travel time, monte carlo simulation.

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“…More details about ASRS can be found in Refs. [13][14][15][16][17][18][19][20][21]. Figure 1 shows some examples of real-life SARS.…”

Section: What Is Asrsmentioning

confidence: 99%

Multidisciplinary Engineering for the Utilization of Traditional Automated Storage and Retrieval System )ASRS) for Firefighting in Warehouses

AbdelGawad¹

2015

AJEE

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ASRS is usually installed in a factory or warehouse to increase storage capacity, floor space utilization, labor productivity in storage operations and stock rotations etc. ASRS systems are custom-planned for each individual application, and they range in complexity from relatively small mechanized systems that are controlled manually to very large computercontrolled systems that are fully integrated with factory and warehouse operations. The purpose of the present paper is to gain experience in multidiscipline engineering through the design, fabrication and implementation of ASRS model in a capstone (graduation) project. The scope of the project was extended by considering the fire fighting in ASRS warehouses. In the present project, the students designed, manufactured and implemented an ASRS model. The model was automatically controlled by a microcontroller-based electronic circuit. The students succeeded in designing, building and testing their model. Based on their practical experience, they proposed a new technique for firefighting in ASRS warehouses.

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Travel time analysis of a new automated storage and retrieval system

Cited by 91 publications

References 18 publications

A survey of literature on automated storage and retrieval systems

A survey of literature on automated storage and retrieval systems

Travel Time Analysis of an Open-Rack Miniload AS/RS under Class-Based Storage Assignments

Multidisciplinary Engineering for the Utilization of Traditional Automated Storage and Retrieval System )ASRS) for Firefighting in Warehouses

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