This paper describes a flow maximization problem in steel manufacturing, decomposes it into three sub-problems, and models them in terms of finite domain constraints. Greedy algorithms are used for solving the sub-problems. The constraints are used for maintaining consistency rules, not for optimization. A tool implementing these algorithms and equipped with a GUI has been implemented. © Springer-Verlag Berlin Heidelberg 1998.
CITATION STYLE
Carlsson, M., Kreuger, P., & Astrom, E. (1999). Constraint-based resource allocation and scheduling in steel manufacturing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1551 LNCS, pp. 335–349). https://doi.org/10.1007/3-540-49201-1_23
Mendeley helps you to discover research relevant for your work.