Litcius/Paper detail

Storage efficiency in a deep-lane AVS/RS

Ilaria Battarra, Riccardo Accorsi, Riccardo Manzini, Sara Rubini

2022IFAC-PapersOnLine10 citationsDOIOpen Access PDF

Abstract

Autonomous Vehicle Storage and Retrieval Systems (AVS/RS) are largely widespread in modern companies. Most literature focuses on system performance estimation, such as throughput and cycle time to perform a storage or retrieval transaction. Little attention has been paid to analysing the impact of storage policies and dispatching rules on space efficiency, i.e., storage capacity exploitation. This paper aims to present and apply an original set of indicators to measure the impact of storage policies and dispatching rules on space efficiency, supporting the decision-making process on the design, management, and control of an AVS/RS. The proposed indicators are applied to a real AVS/RS deep-lane from the food and beverage industry.

Topics & Concepts

Computer scienceThroughputDatabase transactionProcess (computing)Set (abstract data type)Storage efficiencyComputer data storageDatabaseControl (management)Space (punctuation)Real-time computingOperations researchArtificial intelligenceTelecommunicationsEngineeringComputer hardwareOperating systemProgramming languageWirelessAdvanced Manufacturing and Logistics OptimizationSmart Parking Systems ResearchTransportation and Mobility Innovations