Operational research in the Danish steel industry

Operational research in the Danish steel industry

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Article ID: iaor1993506
Country: Netherlands
Volume: 51
Issue: 3
Start Page Number: 301
End Page Number: 309
Publication Date: Apr 1991
Journal: European Journal of Operational Research
Authors: ,
Keywords: manufacturing industries, cutting stock, artificial intelligence: decision support, heuristics
Abstract:

During the past five years several OR-projects (M.Sc. Thesis) were carried out at IMSOR. These OR-projects dealt with the development of decision support systems based upon heuristic principles, for various planning, production and control problems in the Danish steel industry. The purpose of this paper is to report the methodological experiences of these projects. This paper illustrates the optimization of an existing production system using heuristics. Furthermore, the overall concept of optimizing production systems without changing the physical elements of the production system is discussed. This paper also deals with OR-projects concerning: the inventory system, jobs sequencing and production flow management. Furthermore, the paper briefly reports on two ongoing projects: a rather complicated cutting-stock problem, and a booking system for plates’ orders.

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