使用遗传算法进行预拌混凝土生产调度和搅拌车分配:案例研究

Maria Krisnawati, Fadhila Rifda Azka Syailendri, A. A. Sibarani
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引用次数: 0

摘要

XYZ 公司从事预拌混凝土 (RMC) 等建筑材料的生产。XYZ 公司必须提高生产率,才能与印尼班尤马斯快速扩张的行业竞争。安排生产是提高生产率的方法之一。利用数学模型和单机方法安排生产计划。利用与生产流程相结合的产品交付系统,开发了生产调度模型和产品交付车辆(搅拌车)的分配。利用遗传算法找到了更有效的排产方案。研究结果表明,遗传算法生成的排程共减少了 10 个作业序列的完成时间 134363 秒,比现有排程平均高效 24%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ready Mix Concrete Production Scheduling and Truck Mixer Allocation Using Genetic Algorithm: A Case Study
The XYZ company is engaged in the production of construction materials such as Ready-Mix Concrete (RMC). XYZ company must increase productivity in order to compete with the industry’s rapid expansion in Banyumas, Indonesia. Scheduling production is one of the methods for boosting productivity. Utilizing a mathematical model and a single-machine approach, scheduling is arranged. Using a product delivery system that is integrated with the production process, a production scheduling model and allocation of product delivery vehicles, the Truck Mixer, are developed. The Genetic Algorithm is used to find a more effective scheduling solution. The results of this study indicate that the schedule generated by the genetic algorithm has a total reduction of ten job sequence completion times of 134363 seconds or 24% more efficient than the existing schedule on average.
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