Multiple criteria lot-sizing in a foundry using evolutionary algorithms

Authors:
Jerzy Duda;Andrzej Osyczka
Affiliations:
Faculty of Management, Dept. of Applied Computer Science., AGH University of Science and Technology, Kraków, Poland;Faculty of Management, Dept. of Applied Computer Science., AGH University of Science and Technology, Kraków, Poland
Venue:
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
Year:
2005

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Abstract

The paper describes the application of multiobjective evolutionary algorithms in multicriteria optimization of operational production plans in a foundry, which produces iron castings and uses hand molding machines. A mathematical model that maximizes utilization of the bottleneck machines and minimizes backlogged production is presented. The model includes all the constraints resulting from the limited capacities of furnaces and machine lines, limited resources, customers requirements and the requirements of the manufacturing process itself. Test problems based on real production data were used for evaluation of the different evolutionary algorithm variants. Finally, the plans were calculated for a nine week rolling planning horizon and compared to real historical data.