Algorithm for situation-dependent adaptation of velocity for shuttle based systems

Thomas Kriehn, Franziska Schloz, Robert Schulz and Markus Fittinghoff

A chapter in Artificial Intelligence and Digital Transformation in Supply Chain Management: Innovative Approaches for Supply Chains, 2019, pp 223-264 from Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management

Abstract: Purpose: Shuttle based storage and retrieval systems (SBS/RS) are suitable for applications which require a high throughput. Many times, however, the maximum performance of SBS/RS is not required. For example, when customers initiate a large number of retrieval requests at a specific time, or when a large number of storage requests enter the system at fixed times due to scheduled inbound deliveries. This article presents and discusses an algorithm that is based on closed-loop-control. Methodology: A situation-dependent adaptation of the velocity to the currently required throughput or the number of currently awaiting orders requires an algorithm which needs to be implemented in the control of the SBS/RS. A simulation model of a SBS/RS will be introduced, which contains the control of the shuttle carriers and elevators as well as a model for calculating the energy requirement. Findings: The results of this paper is the quantified energy saving by the application of the algorithm for situation-dependent adaption of velocity for SBS/RS Originality: To our knowledge this is the first paper that introduces a situation-dependent adaption of velocity for SBS/RS.

Keywords: Shuttle based systems; Simulation; Energy consumption; Velocity adaption (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:hiclch:209374

DOI: 10.15480/882.2472

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