Title
A variable neighborhood search algorithm for scheduling the hot rolling operations at a steel mill A variable neighborhood search algorithm for scheduling the hot rolling operations at a steel mill
Author
Faculty/Department
Faculty of Applied Economics
Publication type
conferenceObject
Publication
New York, N.Y. :IEEE, [*]
Subject
Economics
Engineering sciences. Technology
Source (book)
IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2009), December 8-11, 2009, Hong Kong, Peoples Republic of China
ISBN - Hoofdstuk
978-1-4244-4869-2
ISI
000280236600251
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
One of the most important operations to occur in a steel mill is the hot rolling, a process which transforms steel slabs into much longer and much thinner coils. Selecting which slabs to roll and in which order is a problem that needs to be solved efficiently taking into account both technical and commercial parameters. In this paper, we develop an algorithm that uses several different neighbourhood search operators to robustly find high-quality solutions in a short computation time, even for large real-life problems. Some preliminary tests on artificially generated instances show that the algorithm performs satisfactorily.
E-info
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Handle