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.
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Hao Hu (2007) studied this question.