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A Study of Resource Planning for Precast Production

Abstract Previous studies of the precast production scheduling problems seldom consider resource planning problems. In particular, available scheduling models and approaches have not included mould planning. This paper describes a GA based approach for minimizing mould usage in the precast production scheduling problem posed using the Flow Shop Sequencing Model (FSSM). The minimization problem is initially formulated and solved as a single objective optimization problem, and then as a multi-objective optimization problem, by including makespan and tardiness as additional objectives. The normalized weighted Genetic Algorithm (GA) approach is then used to solve the multi-objective optimization problem. Computational results are given to demonstrate the effectiveness and usefulness of the approach.