Improving scheduling methodologies in a hot-dip galvanizing line combining non-linear projectors and clustering

  1. García, A.S. 1
  2. Martínez de Pisón Ascacibar, F.J. 1
  3. Lorza, R.L. 1
  4. Martínez, R.F. 1
  5. Ceniceros, J.F. 1
  1. 1 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

Revista:
International Journal of Mathematical Models and Methods in Applied Sciences

ISSN: 1998-0140

Año de publicación: 2011

Volumen: 5

Número: 5

Páginas: 890-898

Tipo: Artículo

SCOPUS: 2-s2.0-79960359295 GOOGLE SCHOLAR

Otras publicaciones en: International Journal of Mathematical Models and Methods in Applied Sciences

Resumen

An improving methodology for the scheduling coils of a Hot Dip Galvanizing Line (HDGL) is presented. This method uses a non-linear projector which has been selected from various techniques to generate a coil map from the most significant parameters of the coils database: process variables, chemical composition of steel, measurements, etc. The created bidimensional map helps experts to decide which are the more fitting groups showing the distances between all coils. After that, the expert can select with an end-user application one group and identify other coils that can complicate the scheduling purposes. Finally, the methodology uses hierarchical clustering to obtain a list of effective sequences of coils. A decrease of the number of shutdowns and irregular heat treatments failures can be obtained by using this scheduling method.