.png){kind=icon}
Return
Entropy-based dispatching for automatic guided vehicles
.png){kind=icon}
PRE
AI
DOI：10.1080/00207543.2013.871590.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
A highly desirable performance of a factory is achieving a laminar flow of parts within the factory. This paper proposes new automatic guided vehicle (AGV) dispatching algorithms with the objective of load balancing among the factory work centres by choosing the dispatch decision, which contributes the most to the laminar flow of the factory. The Kullback-Leibler directed divergence measure is applied to compare a dispatch decision with a balanced factory. Simulation experiments are conducted to study the effectiveness of suggested algorithms.
Keywords:
directed divergence
entropy
balanced factory
look-ahead algorithm
vehicle dispatching
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
7.3
Papers:
1.1W
Citations:
3.7W
Organization
Cited Papers
.png){kind=icon}
ShareSaveShareSaveShareSaveShareSaveShareSaveShareSave
View more