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Decision on risk-averse dual-channel supply chain under demand disruption

机译:需求中断下规避风险的双渠道供应链决策

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Highlights Risk-averse centralized and decentralized decision-making models are studied. Pricing, sales volume, and production decision under demand disruption are calculated. Results show that change in decision making is a linear function of demand disruption. Change in decision making is also independent from the risk-averse coefficient. Stability of sales volume is related to market share and demand disruption. Abstract We studied dual-channel supply chains using centralized and decentralized decision-making models. We also conducted a comparative analysis of the decisions before and after demand disruption. The study shows that the amount of change in decision-making is a linear function of the amount of demand disruption, and it is independent of the risk-averse coefficient. The optimal sales volume decision of the disturbing supply chain is related to market share and demand disruption in the decentralized decision-making model. The optimal decision is only influenced by demand disruption in the centralized decision-making model. The stability of the sales volume of the two models is related to market share and demand disruption. The optimal system production of the two models shows robustness, but their stable internals are different.
机译: 突出显示 研究了规避风险的集中式和分散式决策模型。 计算需求中断下的定价,销量和生产决策。 < ce:label>• 结果表明,决策变更是需求中断的线性函数。 决策的改变也是 销售量的稳定与市场份额和需求中断有关。 摘要 我们使用集中式和分散式决策模型研究了双渠道供应链。我们还对需求中断前后的决策进行了比较分析。研究表明,决策变更量是需求中断量的线性函数,并且与规避风险的系数无关。在分散决策模型中,困扰供应链的最优销量决策与市场份额和需求中断有关。最佳决策仅受集中决策模型中需求中断的影响。两种型号的销量稳定与市场份额和需求中断有关。两种模型的最优系统产量都显示出鲁棒性,但是它们的稳定内部特性却有所不同。

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