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首页> 外文期刊>Industrial Engineering Letters >Investigating Modeling and Solving a Hybrid Problem Considering the Simultaneous Loading and Delivery of the Vehicle and the Locating of Facilities for Storing and Recycling in a Three-Level Green Supply Chain
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Investigating Modeling and Solving a Hybrid Problem Considering the Simultaneous Loading and Delivery of the Vehicle and the Locating of Facilities for Storing and Recycling in a Three-Level Green Supply Chain

机译：考虑车辆同时装载和交付以及三级绿色供应链中存储和回收设施定位的混合建模问题的调查研究和求解

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Today, In this research, we intend to study the modeling and solving a hybrid problem considering the simultaneous loading and delivery of the vehicle and the locating of facilities for storing and recycling in a three-level green supply chain. This issue is known as 3-level mapping routing issue in the subject literature. With the goal of presenting a mathematical model for the vehicle routing problem and locating the storage facilities and recycling facilities in a green supply chain network, an efficient algorithm is developed to optimize the problem and compare the performance of the algorithm with known algorithms such as genetics. Also one of the other purposes is to find a combination of truck and facility paths so that results in minimum transfer costs in a direct and reverse manner. By reviewing the recent articles and discovering the existing research gap, we will develop a problem model with a specific application, and eventually we will overwrite the problem in the framework of the language of the meta-innovative algorithms to solve the problem by the meta-innovative method. To compare the efficiency of the meta-innovative algorithm developed in this research and its validation, we will compare the results with a precise method using GAMS software for small issues. Also, one of the genetic algorithms can be used to test the performance of the algorithm. This research is considered within the framework of applied research regarding the orientation, because using the results of this study, some suggestions can be made to solve specific problems in the organization. In addition, this research is a descriptive method in which mathematical and modeling tools are used.
机译：今天，在这项研究中，我们打算研究建模和解决混合问题，同时考虑到车辆的同时装载和交付以及在三级绿色供应链中的存储和回收设施的位置。在本主题文献中，此问题被称为3级映射路由问题。为了提供一种针对车辆路径问题的数学模型并在绿色供应链网络中定位存储设施和回收设施的目标，开发了一种有效的算法来优化问题并将算法的性能与已知算法（例如遗传算法）进行比较。另外一个目的是找到卡车路径和设施路径的组合，从而以直接和反向的方式实现最小的运输成本。通过回顾最近的文章并发现现有的研究差距，我们将开发具有特定应用程序的问题模型，最终我们将在元创新算法的语言框架内覆盖该问题，以通过元创新来解决该问题。创新的方法。为了比较本研究中开发的元创新算法的效率及其验证，我们将使用GAMS软件针对小问题将结果与精确方法进行比较。同样，遗传算法之一可用于测试算法的性能。这项研究是在有关方向的应用研究的框架内考虑的，因为使用这项研究的结果，可以提出一些建议来解决组织中的特定问题。此外，这项研究是一种描述性方法，其中使用了数学和建模工具。

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