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Production Scheduling for Dispatching Ready Mixed Concrete Trucks Using Bee Colony Optimization | Science Publications

机译:蜂群优化技术的混凝土搅拌车生产调度科学出版物

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> Problem statement: This study proposed a systematic model of delivering Ready Mixed Concrete (RMC) that optimizes the schedule of dispatching RMC trucks. Approach: Firstly, the factors that impact the RMC delivery process are analyzed. Secondly, a model based on Bee Colony Optimization (BCO) was developed in order to find the best dispatching schedule which minimized the total waiting duration of RMC trucks at construction sites subject to the needs of RMC deliveries from different construction sites. Results: To demonstrate its efficiency, the BCO algorithm was applied to solve two dispatching RMC problems. The simulation results obtained from the BCO are compared to those achieved from the conventional approaches i.e., Genetic Algorithm (GA) and Tabu Search (TS) algorithm. Conclusion/Recommendations: The experimental results showed that the BCO approach is can quickly generate efficient and flexible solutions to dispatching RMC trucks. Furthermore, the obtained results had higher quality solution efficiently and faster computational time than the conventional approaches.
机译: > 问题陈述:该研究提出了一种提供预拌混凝土(RMC)的系统模型,该模型可优化RMC卡车的调度时间表。 方法:首先,分析影响RMC交付过程的因素。其次,开发了一个基于蜂群优化(BCO)的模型,以找到最佳的调度计划,从而根据不同施工现场交付的RMC的需要,最大限度地缩短了RMC卡车在施工现场的总等待时间。 结果:为了证明其有效性,将BCO算法用于解决两个调度RMC问题。从BCO获得的模拟结果与从常规方法获得的模拟结果相比较,即遗传算法(GA)和禁忌搜索(TS)算法。 结论/建议:实验结果表明,BCO方法可以快速生成高效,灵活的解决方案来调度RMC卡车。此外,所获得的结果比常规方法具有更高质量的解决方案,并且具有更快的计算时间。

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