Evolution and state-of-the-art in integer programming
Journal of Computational and Applied Mathematics - Special issue on numerical analysis 2000 Vol. IV: optimization and nonlinear equations
Combinatorial optimization: current successes and directions for the future
Journal of Computational and Applied Mathematics - Special issue on numerical analysis 2000 Vol. IV: optimization and nonlinear equations
Developing software for generating pouring schedules for steel foundries
Computers and Industrial Engineering
A flexible decision support system for steel hot rolling mill scheduling
Computers and Industrial Engineering - Special issue: Selected papers from the 25th international conference on computers & industrial engineering in New Orleans, Louisiana
Optimal and heuristic solutions for a scheduling problem arising in a foundry
Computers and Operations Research
Lot sizing and furnace scheduling in small foundries
Computers and Operations Research
Computers and Industrial Engineering
Production Planning by Mixed Integer Programming
Production Planning by Mixed Integer Programming
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This paper describes the development and solution of binary integer formulations for production scheduling problems in market-driven foundries. This industrial sector is comprised of small and mid-sized companies with little or no automation, working with diversified production, involving several different metal alloy specifications in small tailor-made product lots. The characteristics and constraints involved in a typical production environment at these industries challenge the formulation of mathematical programming models that can be computationally solved when considering real applications. However, despite the interest on the part of these industries in counting on effective methods for production scheduling, there are few studies available on the subject. The computational tests prove the robustness and feasibility of proposed models in situations analogous to those found in production scheduling at the analyzed industrial sector.