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An Integrated Production-Distribution Planning in Green Supply Chain: A multi-objective evolutionary approach

机译:绿色供应链中综合生产分布规划:多目标进化方法

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The goal of this research is to develop a novel multi-objective mathematical model in a green supply chain network consisting of manufacturers, distribution centers and dealers in an automotive manufacture case study. The main objectives considered are: minimizing the costs of production, distribution, holding and shortage cost at dealers as well as minimizing environmental impact of logistic network. In addition to minimizing the costs and environmental impacts particularly the emission of CO_2, the model can determine the green economic production quantity using Just-In-Time logistics. Furthermore, multi-objective genetic algorithm is applied in order to minimize these two conflicting objectives simultaneously. Finally, the performance of the proposed model is evaluated by comparing the obtained Pareto fronts from MOGA and goal attainment programing solver in Matlab.
机译:本研究的目标是在绿色供应链网络中开发一种新的多目标数学模型,该模型包括汽车制造案例研究中的制造商,分销中心和经销商。所考虑的主要目标是:最大限度地减少经销商的生产,分销,持有和短缺成本的成本,以及最大限度地减少物流网络的环境影响。除了最小化成本和环境影响之外,尤其是CO_2的排放,该模型可以使用即时物流来确定绿色经济生产数量。此外,应用多目标遗传算法,以便同时最小化这两个冲突目标。最后,通过将所获得的帕累托前线与Matlab中的Moga和目标达到编程求解器进行比较来评估所提出的模型的性能。

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