Your browser doesn't support javascript.
loading
An analytical performance approach for RCS/RS with one robot serving multiple stack heights under a one-path relocation strategy.
Trost, Philipp; Eder, Michael.
Afiliação
  • Trost P; Institute for Engineering Design and Product Development, Technische Universität Wien, Lehargasse 6, Objekt 7, Hoftrakt BD, 1060, Vienna, Austria. philipp.trost@tuwien.ac.at.
  • Eder M; Institute for Engineering Design and Product Development, Technische Universität Wien, Lehargasse 6, Objekt 7, Hoftrakt BD, 1060, Vienna, Austria.
Sci Rep ; 14(1): 3593, 2024 Feb 13.
Article em En | MEDLINE | ID: mdl-38351114
ABSTRACT
Robotic compact storage and retrieval systems (RCS/RS) represent a modern and useful storage system since the number of installed systems is growing fast. The modularity and demand-based scalability are reasons, therefore. Nonetheless, there are hardly any statements on the performance of those warehouses. This paper presents an analytical calculation approach to determine the performance of an RCS/RS with one operating robot serving different grid sizes and a varying number of stacked containers. The robot's cycle time is calculated by assuming a uniform distribution of container stacks and a probabilistic storage height. A discrete-event simulation model of an RCS/RS is built to verify and validate the analytical approximations. The system's basic structure and the input parameters originate from a European material handling provider. After the verification and validation, an extensive parameter variation is done with the target of displaying a wide range of usage. This analytical approach, which is easy and fast solvable with standard calculation programs, represents an easy and fast tool to predict the performance of one robot operating in an RCS/RS for any system configuration.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Áustria País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Áustria País de publicação: Reino Unido