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Incorporating Vehicle Routing, Location and Supplier Selection Problems for Reducing Pollutants Emission

机译：结合车辆路由，位置和供应商选择问题，用于减少污染物排放

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Vehicle routing, location and supplier selection problems are the most practical and challenging problems of the supply chain management. The particular attention to these problems is due to their high practicality in real world and the difficulty of solving. Therefore, the present paper attempts to offer a combined model of vehicle routing, location and supplier selection problems with more compatibility with the real-world problems. Moreover, the proposed model will attempt to reduce the fuel consumption rate (FCR) of vehicles and pollutant emissions simultaneously. Because the problem is NP-hard, meta-heuristic algorithms including simulated annealing (SA), Tabu search algorithm (TS), bat algorithm (BA) and variable neighborhood search algorithm based on simulated annealing (VNS-SA) are used for solving the large dimensions of the problem. For smaller dimensions of the problem, several numerical examples are generated and solved by GAMS Software and meta-heuristic algorithms of SA, TS, BA, and VNS-SA. Then, the re- sults are compared for verification of the solution methods’ efficiency. In the rest of the paper, a real example is of- fered as an example of real-world problems and solved by metaheuristic algorithms. More clearly, the core problem consists of assigning producers to distribution centers, vehicle routing and service of distribution centers to clients in a supply chain of natural honey.
机译：车辆路由，位置和供应商选择问题是供应链管理中最实用和挑战的问题。对这些问题的特别关注是由于它们在现实世界中的实用性以及解决的难度。因此，本文试图为车辆路由，位置和供应商选择问题提供更加兼容性的综合模型。此外，所提出的模型将试图同时降低车辆的燃料消耗率（FCR）和污染物排放。因为问题是NP - 硬，包括模拟退火（SA），禁忌搜索算法（TS），BAT算法（BA）和基于模拟退火（VNS-SA）的禁止算法（BA）和可变邻域搜索算法的元启发式算法用于解决问题的大维度。对于问题的较小尺寸，通过GAMS软件和SA，TS，BA和VNS-SA的GAMS软件和元启发式算法来生成和解决了几个数值示例。然后，将重新调整进行比较以验证解决方案方法的效率。在本文的其余部分中，真实的例子是作为现实世界问题的一个例子，并由成胸族算法解决。更清楚，核心问题包括将生产者分配给分销中心，车辆路由和分销中心的服务，以适应自然蜂蜜的供应链中的客户。

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