Performance of Myopic Lot-sizing Heuristics and an Improvement Heuristic in the Case of Regular, Sporadic, and Close-To-Zero Demand

Link:
Autor/in:
Verlag/Körperschaft:
Universität Hamburg
Erscheinungsjahr:
2023
Medientyp:
Datensatz
Schlagworte:
  • lotsizing
  • sporadic demand
Beschreibung:
  • This dataset contains all research data from the article "Performance of Myopic Lot-sizing Heuristics and an Improvement Heuristic in the Case of Regular, Sporadic, and Close-To-Zero Demand". Included are the demands and heuristics used, as well as the data preparation and description for the article.

Beziehungen:
DOI 10.25592/uhhfdm.13113
Lizenzen:
  • https://creativecommons.org/licenses/by/4.0/legalcode
  • info:eu-repo/semantics/openAccess
Quellsystem:
Forschungsdatenrepositorium der UHH

Interne Metadaten
Quelldatensatz
oai:fdr.uni-hamburg.de:13470