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Integrating Genetic Algorithm with Time Control for Just-In-Time Scheduling Problems

机译：遗传算法与时间控制相结合的即时调度问题

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摘要

To reduce inventory costs and increase customer satisfaction in a real production environment, Just-in-Time (JIT) manufacturing should be combined with more flexibility. Flexibility in manufacturing system ensures improved product quality and mass customization. In this paper, we consider flexible job-shop problem (FJSP) to include several types of flexibility. Prior research on JIT scheduling problems paid little attention to flexible job shop systems. In this paper, an optimization method for FJSP for JIT manufacturing was proposed, genetic algorithm and time control are integrated to improve the JIT performance. Computational simulations and comparisons demonstrate that the proposed method shows more competitive performance than other evolutionary algorithms.
机译：为了降低库存成本并在实际生产环境中提高客户满意度，应将即时（JIT）制造与更大的灵活性相结合。制造系统的灵活性可确保提高产品质量和批量定制。在本文中，我们认为弹性作业车间问题（FJSP）包括几种类型的弹性。先前对JIT调度问题的研究很少关注灵活的车间系统。提出了一种针对JIT制造的FJSP优化方法，并结合遗传算法和时间控制来提高JIT性能。计算仿真和比较表明，与其他进化算法相比，该方法具有更好的竞争性能。

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