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首页> 外文期刊>International journal of green energy >Integrating the AHP and TOPSIS decision processes for evaluating the optimal collection strategy in reverse logistic for the TPI
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Integrating the AHP and TOPSIS decision processes for evaluating the optimal collection strategy in reverse logistic for the TPI

机译：整合AHP和TOPSIS决策流程，以评估TPI的逆向物流最佳收集策略

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This study presents processes to evaluate the optimal collecting strategy (CS) in reverse logistic (RL) for the downstream part of the Taiwan photovoltaic industry (TPI). It combines the analytic hierarchy process (AHP) with the technique for ordering preference by similarity to the ideal solution (TOPSIS). The criteria and sub-criteria were initially established to assess the related benefits, opportunities, costs, and risks (BOCR). AHP was then used to obtain the weightings of the criteria and sub-criteria and TOPSIS was used to rank the optimal collection strategy in terms of its overall evaluation criteria. The AHP and TOPSIS method provides decision makers with a valuable reference for assessing the optimal collection strategy of TPI downstream. The results of the study should provide decision makers in the downstream TPI with academic support and valuable guidance for evaluating their collection program and obtain optimal strategies for administering RL practices.
机译：这项研究提出了过程，以评估台湾光伏产业（TPI）下游部分的逆向物流（RL）的最佳收集策略（CS）。它结合了层次分析法（AHP）和与理想解决方案（TOPSIS）具有相似性的优先排序技术。最初建立了标准和子标准以评估相关的收益，机会，成本和风险（BOCR）。然后，将AHP用于获得标准和子标准的权重，并使用TOPSIS根据其总体评估标准对最佳收集策略进行排名。 AHP和TOPSIS方法为决策者评估下游TPI的最佳收集策略提供了宝贵的参考。研究的结果应为下游TPI的决策者提供学术支持和有价值的指导，以评估他们的收集计划，并获得管理RL做法的最佳策略。

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