The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES
Transactions ID Number: 20-681
Full Name: Andres Sanz
Position: Professor
Age: ON
Sex: Male
Address: Calle Luis de Ulloa 26
Country: SPAIN
Tel: 941299273
Tel prefix: +34
Fax:
E-mail address: andres.sanz@unirioja.es
Other E-mails: sanz.andres@gmail.com
Title of the Paper: Improving scheduling methodologies in a Hot-Dip Galvanizing Line combining non-linear projectors and clustering
Authors as they appear in the Paper: A. Sanz-García, F. J. Martínez-de-Pisón-Ascacibar, R. Lostado-Lorza, R. Fernández-Martínez and J Fernández-Ceniceros
Email addresses of all the authors: andres.sanz@unirioja.es,fjmartin@unirioja.es,ruben.lostado@unirioja.es,roberto.fernandez@unirioja.es,julio.fernandezc@unirioja.es
Number of paper pages: 9
Abstract: 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.
Keywords: Scheduling methodology, Hot dip galvanizing line, Hierarchical clustering, Sammon mapping, Kruskal's non-metric projector
EXTENSION of the file: .pdf
Special (Invited) Session: Using Multi-Dimensional Scaling and Hierarchical Clustering to Improve the Process in a Hot-Dip Galvanizing Line
Organizer of the Session: 653-222
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