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Flowshop scheduling model for bespoke precast concrete production planning

机译:用于定制预制混凝土生产计划的Flowshop调度模型

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摘要

Bespoke precast concrete products are particularly designed and custom made for a construction project. The production planning of these products is complicated that considers important concerns, i.e. the reliability of the product delivery programme, the short lead-time competitiveness, and the effective utilization of purpose-built precast moulds. The planning has a high impact on the success of the production. The characteristics of the bespoke precast production are formulated with the flowshop scheduling technique so that an effective production plan can be arranged to. meet these concerns. Genetic algorithm is used in the scheduling optimization. Its multi-objective function includes total flowtime, total machine idle time, and total tardiness and earliness. After the model formulation, sensitivity analyses are conducted on the three model's parameters namely the number of mould availability, the processing time changes, and the weighting of the multi-objective function. The proposed model is anticipated to support the planners to arrange economic and efficient production plans. Also, it can be used to determine the suitable number of moulds, the accuracy of the processing time estimation, and the weighting strategy of the multi-objective optimization.
机译:定制的预制混凝土产品是专门为建筑项目设计和定制的。这些产品的生产计划很复杂,其中考虑了重要的问题,即产品交付计划的可靠性,交货期短的竞争能力以及特制预制模具的有效利用。计划对生产的成功有很大影响。使用Flowshop调度技术来制定定制的预制生产的特征,以便可以安排有效的生产计划。满足这些担忧。遗传算法用于调度优化。它的多目标功能包括总的流动时间,总的机器闲置时间以及总的延误和及时性。模型制定后,对三个模型的参数进行敏感性分析,即模具可用数量,加工时间变化以及多目标函数的权重。预期该提议的模型将支持计划者安排经济高效的生产计划。而且,它可以用于确定合适的模具数量,处理时间估计的准确性以及多目标优化的加权策略。

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