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Multi-Loss WCVaR Risk Decision Optimization Based On Weight for Centralized Supply Problem of Direct Chain Enterprises

机译:基于权重的直接连锁企业集中供应问题多损失WCVaR风险决策优化

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摘要

In recent years, the centralized supply strategy has been widely adopted by direct chain enterprises (DCEs) and become an indispensable means of operation. First, a general probability distribution density function cluster is used to describe the uncertainty demand from all retailers of the DCE. Second, a multi-loss WCVaR centralized supply risk decision optimization robust model based on weight is presented for the DCE. We prove that this model is equivalent to an single-objective optimization model. Finally, we set up a single-period multi-loss WCVaR centralized supply risk decision optimization robust model based on weight for production allocation problem for a centralized-supply direct chain food enterprise. The numerical results illustrate that the DCE may obtain the approximately robust total production volume and the robust retail volume allocated to all retailers, which is the minimal total supply loss for the DCE.
机译:近年来,集中供应策略已被直接连锁企业(DCE)广泛采用,并成为必不可少的经营手段。首先,使用一般概率分布密度函数聚类来描述DCE所有零售商的不确定性需求。其次,为DCE提出了基于权重的多损失WCVaR集中式供应风险决策优化鲁棒模型。我们证明该模型等效于单目标优化模型。最后,我们建立了基于权重的单周期多损失WCVaR集中式供应风险决策优化鲁棒模型,用于集中式供应链直接食品企业的生产分配问题。数值结果表明,DCE可以获得大约稳定的总生产量和分配给所有零售商的稳定的零售量,这是DCE的最小总供应损失。

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