Forecasting accuracy for ordering spare parts at Banedanmark
Author
Barbu, Georgiana
Term
10. term
Publication year
2017
Submitted on
2017-12-18
Pages
72
Abstract
Specialet er udarbejdet i samarbejde med Banedanmark (jernbaneselskab). Det fokuserer på prognosefasen i bestillingen af reservedele til vedligeholdelsesarbejde—altså at forudsige, hvilke dele der skal bruges og hvornår. Studiet gennemgår centrale teorier om efterspørgselsprognoser og forklarer deres antagelser og metoder i en enkel form. Teorierne sammenholdes med data indsamlet fra virksomheden for at vurdere, hvordan de passer til praksis. Målet er at forstå, hvordan prognosemetoder kan støtte processen med at bestille reservedele.
This thesis was prepared in collaboration with Banedanmark (railway company). It focuses on the forecasting step in ordering spare parts for maintenance—predicting which parts will be needed and when. The study reviews key theories on demand forecasting and explains their main assumptions and methods in plain terms. These theories are compared with data gathered from the company to assess how well they fit real practice. The aim is to understand how forecasting methods can support the spare‑parts ordering process.
[This abstract was generated with the help of AI]
Keywords
Documents