Successfully Using ChatGPT in Logistics:Are We There Yet?

Link:
Autor/in:
Beteiligte Personen:
  • Daduna, Joachim R.
  • Liedtke, Gernot
  • Shi, Xiaoning
  • Voß, Stefan
Verlag/Körperschaft:
Springer Science and Business Media Deutschland GmbH
Erscheinungsjahr:
2023
Medientyp:
Text
Schlagworte:
  • Artificial intelligence
  • ChatGPT
  • Computational logistics
  • Generative artificial intelligence
  • Right-hand-side uncertainty
  • Stochastic vehicle routing problem with uncertain number of vehicles
Beschreibung:
  • ChatGPT is among the recent most-commonly discussed artificial intelligence systems. While many success stories as well as misuses are exemplified in different fields like, e.g., education, the usefulness in various academic disciplines with very close ties to practical applications still needs to be proven. In this paper we explore the use of this artificial intelligence (AI) tool within the logistics domain. As a lesson learned, one has to be careful. That is, answers cannot always be granted as being correct. Beyond diving into related literature, we explore the use of ChatGPT regarding an as yet underexplored (even without consulting generative AI tools) logistics problem, that is, the stochastic vehicle routing problem with uncertainty in the number of available vehicles.

Lizenz:
  • info:eu-repo/semantics/closedAccess
Quellsystem:
Forschungsinformationssystem der UHH

Interne Metadaten
Quelldatensatz
oai:www.edit.fis.uni-hamburg.de:publications/f5ee590f-3a67-4ac0-895a-9c425ec97fe3