A new knowledge-guided multi-objective optimisation for the multi-AGV dispatching problem in dynamic...
A new knowledge-guided multi-objective optimisation for the multi-AGV dispatching problem in dynamic production environments
About this item
Full title
Author / Creator
Liu, Lei , Qu, Ting , Thürer, Matthias , Ma, Lin , Zhang, Zhongfei and Yuan, Mingze
Publisher
London: Taylor & Francis
Journal title
Language
English
Formats
Publication information
Publisher
London: Taylor & Francis
Subjects
More information
Scope and Contents
Contents
The efficiency of material supply for workstations using Automatic Guided Vehicles (AGVs) is largely determined by the performance of the AGV dispatching scheme. This paper proposes a new solution approach for the AGV dispatching problem (AGVDP) for material replenishment in a general manufacturing workshop where workstations are in a matrix layout...
Alternative Titles
Full title
A new knowledge-guided multi-objective optimisation for the multi-AGV dispatching problem in dynamic production environments
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_crossref_primary_10_1080_00207543_2022_2122619
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1080_00207543_2022_2122619
Other Identifiers
ISSN
0020-7543
E-ISSN
1366-588X
DOI
10.1080/00207543.2022.2122619
