论文标题

使用多目标优化对材料的运输问题进行建模

Modeling the Material-Inventory Transportation Problem Using Multi-Objective Optimization

论文作者

Khuankrue, Issarapong, Boonto, Sudchai, Tsujimura, Yasuhiro

论文摘要

在工业4.0时代,供应链管理中的采购是开发信息管理系统的关键。它直接影响生产计划失败。在这种情况下,这是准备和确认材料库存的过程处于顺序阶段,并能够在任何生产线上生产产品。就工业信息学而言,它可以提供信息管理方法来利用工厂之间的数据共享。通过集成材料库存,生产计划和监视以及运输计划协作,将启用多目标优化。材料不适的运输问题是发生生产计划故障时的虚拟工厂情况。它成为每个工厂和分销之间运输材料的成本。在这项研究中,物料供应运输问题的问题是:我们如何将其他材料从一个工厂运输到另一个工厂?这项研究提出了一个模型,以了解通过运输调整材料清单的调整。该模型的目的是最大程度地减少整个生产成本和总运输成本。

In the era of industry 4.0, procurement in supply chain management is the key to developing information management systems. It directly affects production planning failure. In this case, it is the process to prepare and confirming the material inventory is in the ordinal stages and be able to produce the products in any production line. In terms of industrial informatics, it can provide information management approaches for leveraging data sharing between factories. The multiobjective optimization will be enabled by integrating material inventory, production planning and monitoring, and transportation planning collaboration. The material-inventory transportation problem is the virtual factory situation when production plan failure occurs. It becomes the cost to transport material between each factory and the distribution to clients. In this study, the question of the material-inventory transportation problem is: How can we transport other materials from one factory into another factory? This study proposed a model to find out about the adjustment of material inventory through transportation. The objective of this model is to minimize the whole production cost and total transportation cost.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源