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Journal ArticleDOI

Variance-based approximations of transaction waiting times in autonomous vehicle storage and retrieval systems

TLDR
Simulation-based validation studies indicate that this strategy can reduce the magnitude of errors in estimated transaction waiting times by approximately 80% relative to static approximations.
Abstract
Approximation strategies for transaction waiting times are proposed for use in Autonomous Vehicle Storage and Retrieval Systems (AVS/RSs) with non-Poisson arrival rates and non-exponential service times. The proposed modelling tools dynamically adjust approximations based on the variance of the transaction inter-arrival times observed in a system. Simulation-based validation studies indicate that this strategy can reduce the magnitude of errors in estimated transaction waiting times by approximately 80% relative to static approximations. The design conceptualisation applications of the proposed technique are demonstrated over a series of realistically sized demonstration problems. (Received 8 April 2008; Revised 20 July 2008; Accepted 2 August 2008)

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Citations
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Journal ArticleDOI

Analytical model to estimate performances of autonomous vehicle storage and retrieval systems for product totes

TL;DR: In this paper, an analytical model is presented to estimate the transaction cycle time and waiting times of an autonomous vehicle storage and retrieval system (AVS/RS) for product tote movement.
Journal ArticleDOI

Travel time model for shuttle-based storage and retrieval systems

TL;DR: In this paper, an analytical travel time model for the computation of travel cycle time for shuttle-based storage and retrieval systems (in continuation SBS/RS) is presented, which considers the operating characteristics of the elevators lifting table and the shuttle carrier.
Journal ArticleDOI

Development of a framework for the design of autonomous vehicle storage and retrieval systems

TL;DR: In this article, the main design trade-offs for this new solution using simulation, and proposes a comprehensive design framework, using data from a recently implemented AVS/RS, the application of the proposed framework is presented and the key design differences between the two types of AVS configuration (i.e., tier-captive versus tier-to-tier) are identified.
Journal ArticleDOI

Performance analysis and design trade-offs in warehouses with autonomous vehicle technology

TL;DR: In this article, the authors investigate the performance impact of vehicle assignment and configuration decisions on the performance of a multi-class semi-open queuing network with class switching in an autonomous vehicle-based storage and retrieval system.
Journal ArticleDOI

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

TL;DR: A simulation based experimental design for automated unit-load storage and retrieval systems based on autonomous vehicle technology to identify factors affecting their performance shows that there is three-way interaction effect on each response at a 95% confidence level.
References
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Journal ArticleDOI

The Queueing Network Analyzer

TL;DR: This paper describes the Queueing Network Analyzer (QNA), a software package developed at Bell Laboratories to calculate approximate congestion measures for a network of queues and uses two parameters to characterize the arrival processes and service times.
Book

Probability, Statistics, and Queueing Theory: With Computer Science Applications

TL;DR: Introduction.
Journal ArticleDOI

Travel-Time Models for Automated Storage/Retrieval Systems

TL;DR: Travel-time models are developed for automated storage/retrieval (AS/R) machines that travel simultaneously horizontally and vertically as it moves along a storage aisle for randomized storage conditions.
Journal ArticleDOI

APPROXIMATIONS FOR THE GI/G/m QUEUE

TL;DR: Approximations for a basic queueing model, which has m identical servers in parallel, unlimited waiting room, and the first-come first-served queue discipline, are developed and evaluated and are useful supplements to algorithms for computing the exact values that have been developed in recent years.
Journal ArticleDOI

Conceptualizing tools for autonomous vehicle storage and retrieval systems

TL;DR: In this article, analytical conceptualizing tools based on the features of autonomous vehicle systems are proposed for modelling expected performance as a function of key system attributes including storage capacity, rack configuration and fleet size.
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