A survey of literature on automated storage and retrieval systems

Roodbergen, Kees Jan; Vis, Iris F. A.

doi:10.1016/j.ejor.2008.01.038

Cited by 496 publications

(262 citation statements)

References 141 publications

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“…Overall, in the extant literature, the most widespread approach in the evaluation of automated material handling solutions is mainly based on operational and economic performance measures, such as travel time per request, number of requests handled per time period, waiting times for products to be stored or retrieved, and throughput time (Roodbergen and Vis 2009;Gua, Goetschalckx, and McGinnis 2010), whereas the assessment of the energy consumption has been often disregarded so far.…”

Section: Economic and Environmental Performance Assessment Of Automatmentioning

confidence: 99%

Incorporating the environmental dimension in the assessment of automated warehouses

Tappia

Marchet

Melacini

et al. 2015

Production Planning & Control

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In today's competitive context, the paradigm of sustainable development is becoming more and more significant, also in warehousing. Managers are progressively considering not only purely economic aspects but also environmental concerns. Despite such consciousness, the selection of automated warehousing solutions has been mainly based on operational and economic performance in both practice and theory so far, whereas energy consumption and environmental performance have not been adequately taken into account. To fill this lack a model is proposed to evaluate the energy consumption and environmental impact of automated warehousing solutions. The model has been used to investigate whether the selection of automated solutions changes varying the dimensions involved in the analysis (i.e. only economic, only environmental or both). The analysis has been performed considering autonomous vehicle storage and retrieval systems (AVS/RSs) and its natural alternative, i.e. automated storage and retrieval systems (AS/RSs). Results confirm the importance of considering both dimensions in the assessment of automated warehouses, as depending on the scenario the technology selection shifts from AS/RS to AVS/RS when considering not only the economic but also the environmental impact. Additionally, this study provides new insights on the suitability areas of AVS/RSs.

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Section: Economic and Environmental Performance Assessment Of Automatmentioning

confidence: 99%

Incorporating the environmental dimension in the assessment of automated warehouses

Tappia

Marchet

Melacini

et al. 2015

Production Planning & Control

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“…For the sake of presentation, each pallet is moved by a forklift in the following description. Our model is equally suitable for warehouses using very-narrow-aisle trucks or automated storage and retrieval systems (Roodbergen and Vis 2009).…”

Section: Introductionmentioning

confidence: 99%

“…The inverse of COI of a product is called the turnover rate of the product. Thus, this policy is also known as the full turnover policy (de Koster et al 2007, Roodbergen andVis 2009). Mallette and Francis (1972) consider multiple receiving and shipping docks and identify the optimal dedicated storage policy.…”

Section: Introductionmentioning

confidence: 99%

Robust Storage Assignment in Unit-Load Warehouses

2012

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A ssigning products to and retrieving them from proper storage locations are crucial decisions in minimizing the operating cost of a unit-load warehouse. The problem becomes intractable when the warehouse faces variable supply and uncertain demand in a multiperiod setting. We assume a factor-based demand model in which demand for each product in each period is affinely dependent on some uncertain factors. The distributions of these factors are only partially characterized. We introduce a robust optimization model that minimizes the worst-case expected total travel in the warehouse with distributional ambiguity of demand. Under a linear decision rule, we obtain a storage and retrieval policy by solving a moderate-size linear optimization problem. Surprisingly, despite imprecise specification of demand distributions, our computational studies suggest that the linear policy achieves close to the expected value given perfect information and significantly outperforms existing heuristics in the literature.

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“…In practice, the number of the areas is often restricted to three. Random storage is applied within an area [4]. The main advantage of class-based storage is an increased efficiency due to the ability of the system to store the high-turnover items near the I/O station.…”

Section: Travel Time Model Under Class-based Storagementioning

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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A survey of literature on automated storage and retrieval systems

Cited by 496 publications

References 141 publications

Incorporating the environmental dimension in the assessment of automated warehouses

Incorporating the environmental dimension in the assessment of automated warehouses

Robust Storage Assignment in Unit-Load Warehouses

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

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