孙军艳,李晶晶,张媛媛.数字化车间物料动态配送规划研究[J].包装工程,2023,44(1):101-110.
SUN Jun-yan,LI Jing-jing,ZHANG Yuan-yuan.Dynamic Material Distribution Route Planning for Digital Workshop[J].Packaging Engineering,2023,44(1):101-110. |
| 数字化车间物料动态配送规划研究 |
| Dynamic Material Distribution Route Planning for Digital Workshop |
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| DOI：10.19554/j.cnki.1001-3563.2023.01.012 |
| 中文关键词: 工位排序 系统动力学 物料配送 路径规划 算法融合 |
| 英文关键词: station sorting system dynamics material distribution route planning algorithm fusion |
| 基金项目:陕西省社会科学基金项目(2020R043);陕西省科技厅项目(2018GY–026);西安市科技局项目(2021–0023) |
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| 中文摘要: |
| 目的 针对数字化生产车间工位物料需求时间的不确定，导致物料配送不准确、不及时的问题，提出一种动态物料配送策略。方法 首先，根据工位关联度和变动时间窗确定实时的配送工位和协同配送工位，设计基于工位排序的动态物料配送路径优化策略。其次，建立以配送成本和时间窗偏离惩罚成本综合最小为目标函数的数学模型。最后，提出并采用系统动力学仿真与蚁群遗传融合算法联合的方法对模型进行求解。结果 模拟算例表明，与静态物料配送优化策略相比，该策略的平均时间成本减少率为30.1%，平均库存减少率为14.86%。结论 该策略能够根据动态时间窗确定配送工位和协同工位，并实时调整配送顺序，实现物料配送的动态自适应性调整，降低总配送成本。融合算法在迭代次数、收敛性、最优解质量方面有明显优越性。 |
| 英文摘要: |
| The work aims to propose a dynamic material distribution strategy aiming at the problem of inaccurate and untimely material distribution due to uncertain material demand time in the station of digital production workshop. Firstly, the real-time distribution station and co-working station were determined according to the station correlation degree and change time window, and the dynamic material distribution route optimization strategy based on station sorting was designed. Secondly, the mathematical model with the objective function of minimizing the total distribution cost and the time window deviation cost was established. Finally, a combined method of system dynamics simulation and ant colony genetic hybrid algorithm was proposed to solve the model. The simulation results showed that compared with static material distribution optimization strategy, the proposed strategy realized the average time cost reduction rate of 30.1%, and the average inventory reduction rate of 14.86%. The strategy can determine the distribution station and co-working station and adjust the distribution sequence in real time according to the dynamic time window, realizing the dynamic self-adaptive adjustment of material distribution, and reducing the total material distribution cost. The fusion algorithm has obvious advantages in iteration number, convergence and optimal solution quality. |
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