| Autor: |
Kızılırmak, Elif Burcu, Öztaş, Sinan, Çağlayan, Nadide, Tutam, Mahmut |
| Zdroj: |
Archives of Computational Methods in Engineering; Aug2024, Vol. 31 Issue 6, p3455-3472, 18p |
| Abstrakt: |
This paper provides an overview of research focused on autonomous vehicle storage and retrieval system (AVS/RS) and aims to conduct a comprehensive analysis of current studies to identify potential future research directions. The analysis includes both bibliometric and systematic approaches. The former concentrates on quantitative aspects such as trends in studies, distributions, citations, and keywords of publications, while the latter evaluates papers by considering design factors and performance measures, categorizing them based on modeling approaches employed. This analysis can be instrumental in identifying shortcomings in prior studies and emphasizing the areas within the current literature where gaps exist. Our observation indicates that certain crutial design factors, even though widely employed in practice, have not been adequately addressed in the literature. It's imperative to revisit and conduct more comprehensive exploration of performance measures, such as energy consumption and environmental impact. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
Full text from SpringerLink