Dispatching of Multiple Load Automated Guided Vehicles Based on Adaptive Large Neighborhood Search
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
Contributors
Abstract
This article describes a dispatching approach for Automated Guided Vehicles with a capacity of greater than one load (referred as Multiple Load Automated Guided Vehicles). The approach is based on modelling the dispatching task as a Dial-a-Ride Problem. An Adaptive Large Neighborhood Search heuristic was employed to find solutions for small vehicle fleets online. To investigate the performance of this heuristic the generated solutions are compared to results of an exact solution
method and well established rule-based disptaching policies. The comparison is based on test instances of a use case in semiconductor industry.
method and well established rule-based disptaching policies. The comparison is based on test instances of a use case in semiconductor industry.
Details
| Original language | English |
|---|---|
| Title of host publication | Operations Research Proceedings 2019 |
| Publisher | Springer International Publishing |
| Pages | 375-380 |
| Number of pages | 6 |
| ISBN (electronic) | 978-3-030-48438-5 978-3-030-48439-2 |
| Publication status | Published - 2020 |
| Peer-reviewed | Yes |
Publication series
| Series | Operations Research Proceedings 2019 |
|---|---|
| ISSN | 2197-9294 |
External IDs
| ORCID | /0000-0002-1012-8337/work/147141455 |
|---|---|
| ORCID | /0000-0002-1484-7187/work/147142757 |
Keywords
Keywords
- Dispatching, Multiple Load AGV, Dial-a-Ride Problem, Adaptive Large Neighborhood Search