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首页> 外文期刊>Operations Research Perspectives >Developing benders decomposition algorithm for a green supply chain network of mine industry: Case of Iranian mine industry
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Developing benders decomposition algorithm for a green supply chain network of mine industry: Case of Iranian mine industry

机译：为矿山绿色供应链网络开发弯管机分解算法：以伊朗矿山为例

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This paper attempts to design a three-echelon supply chain network for mine industry considering suppliers, manufacturing centers and distributors with different kinds of vehicles. A multi-objective mixed integer programming model is proposed to minimize transportation costs, shortage costs, purchase costs, production costs and CO2emissions of vehicles with fuzzy demand values. ε-constraint method is used in order to convert multiple objective functions to a single objective function. Benders decomposition algorithm is applied to solve the model under three demand-based scenarios. A case study is done on Iranian mine industry to present the significance and applicability of the proposed model in a real-life case problem as well as the efficiency of Benders decomposition.
机译：本文试图为采矿业设计一个三级供应链网络，其中要考虑具有不同车辆类型的供应商，制造中心和分销商。提出了一种多目标混合整数规划模型，以最小化具有模糊需求值的车辆的运输成本，短缺成本，采购成本，生产成本和二氧化碳排放量。 ε-约束方法用于将多个目标函数转换为单个目标函数。在三种基于需求的情况下，应用Benders分解算法求解模型。通过对伊朗矿业的案例研究，提出了该模型在现实案例中的意义和适用性以及Benders分解的效率。

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