An efficient cycle time model for autonomous vehicle storage and retrieval systems

Fukunari, Miki; Malmborg, Charles J.

doi:10.1080/00207540601118454

Cited by 89 publications

(42 citation statements)

References 6 publications

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“…Focusing on the evaluation of the economic comparison between AS/RS and AVS/RS technologies, the first studies addressing this issue were performed by Kuo, Krishnamurthy, and Malmborg (2007), and Fukunari and Malmborg (2008). Among the different solution types based on the AVS/RS technology, the authors considered a system for pallet handling in which each vehicle can access any tier by using the lift.…”

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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“…The high cost of crane-based systems raises the threshold for cost effective automation and crane-based AS/RSs can be justified only for high throughput operations in a highly stable demand environment. There are various studies that evaluate the performance of AVS/ RSs (Ekren & Heragu, 2009;Fukunari & Malmborg, 2008Kuo, Krishnamurthy, & Malmborg, 2007, 2008Malmborg, 2002Malmborg, , 2003Zhang et al, 2009) but they all consider one or two operational policies simultaneously instead of jointly optimizing a larger combination of control policies. In this study, we include a multitude of design and control aspects including dwell point policy (DP), scheduling rule (SR), I/O locations and interleaving rule (IR) in one model.…”

Section: Background and Discussionmentioning

confidence: 99%

Simulation based experimental design to identify factors affecting performance of AVS/RS

Ekren

Heragu

Krishnamurthy

et al. 2010

Computers & Industrial Engineering

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“…Although there are some limitations in the proposed model, it provides a useful tool for estimating DCC in AVS/RS. Fukunari and Malmborg [10] develop an efficient cycle time model for AVS/RS and compare their performance with crane-based AS/RS. Their model is based on an iterative computational scheme considering random storage assumptions and queuing model approximations.…”

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

116

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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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An efficient cycle time model for autonomous vehicle storage and retrieval systems

Cited by 89 publications

References 6 publications

Incorporating the environmental dimension in the assessment of automated warehouses

Incorporating the environmental dimension in the assessment of automated warehouses

Simulation based experimental design to identify factors affecting performance of AVS/RS

Travel time model for shuttle-based storage and retrieval systems

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