Dispatching of Multiple Load Automated Guided Vehicles Based on Adaptive Large Neighborhood Search
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
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
Originalsprache | Englisch |
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Titel | Operations Research Proceedings 2019 |
Herausgeber (Verlag) | Springer International Publishing |
Seiten | 375-380 |
Seitenumfang | 6 |
ISBN (elektronisch) | 978-3-030-48438-5 978-3-030-48439-2 |
Publikationsstatus | Veröffentlicht - 2020 |
Peer-Review-Status | Ja |
Publikationsreihe
Reihe | Operations Research Proceedings 2019 |
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ISSN | 2197-9294 |
Externe IDs
ORCID | /0000-0002-1012-8337/work/147141455 |
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ORCID | /0000-0002-1484-7187/work/147142757 |
Schlagworte
Schlagwörter
- Dispatching, Multiple Load AGV, Dial-a-Ride Problem, Adaptive Large Neighborhood Search