随机需求下航空公司混合渠道协调的鲁棒优化研究

H. Rong, Z. Feifei
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引用次数: 1

摘要

为了使航空公司的混合渠道协调更加有效,基于渠道协调的特点和随机化方法,建立了需求不确定情况下航空公司混合渠道协调的鲁棒优化模型。然后对模糊规划模型进行了三维数值实验。结果表明,该模型对随机需求具有较强的鲁棒性,适合航空公司渠道协调。随着直接渠道比例的增加,渠道协调系统的鲁棒性呈现先下降后上升的趋势;随着置信水平的提高,渠道协调系统的鲁棒性呈现持续上升的趋势。根据前面的案例分析,航空公司应该与代理商合作,适当降低分销渠道的比例,保证置信度,从而实现双赢战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on robust optimization in airlines' hybrid channels coordination with random demands
To make the airlines' hybrid channels coordination more effectively, the robust optimization model of airlines' hybrid channels coordination with uncertain demand was established based on the characteristics of channels coordination and randomization method. Then three-dimensional numerical experiments of the fuzzy programming model were performed. The results show that the model proposed is robust to random demands and fit for airlines' channels coordination. With the proportion of direct channels increases, the robustness of channels coordination system shows the trend of first falling and then rising; with the level of confidence increases, the robustness of channels coordination system shows the trend of continued rising. Based on the previous case analysis, airlines should cooperate with agents to appropriately reduce the proportion of distribution channels and ensure the confidence level so as to achieve win-win strategies.
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