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The scenario based regret and Min-max regret approach for location-allocation model of distribution center, with uncertain parameters

机译:基于情景的遗憾和MIN-MAX遗憾方法,用于配送中心位置分配模型,具有不确定的参数

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The paper discusses about the location-allocation model for distribution centers under an uncertain environment while demands and transshipment costs change as model parameters. This may leads to large cost deviation in total cost of the model between designed optimal model and real optimal one. Scenario based robust optimization approaches including regret and Min-max regret are proposed based on the stochastic optimization. A Numerical example illustrates the proposed model and the results have been reported. Finally the comparison of results for mentioned approaches has been done for better explanation.
机译:本文讨论了在不确定环境下分配中心的位置分配模型,而需求和转运成本随着模型参数而变化。这可能导致在设计的最佳模型和真实最佳的模型之间的总成本中的总成本偏差。基于情景的鲁棒优化方法,包括后悔和MIN-MAX后悔的基于随机优化。数值示例说明了所提出的模型和结果。最后,已经完成了提到的方法的结果的比较以获得更好的解释。

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