This paper studied the optimal pricing strategy based on a highly realistic pricing scheme in order to maximize the revenue of a service modeled as an M/G/m/m loss system. The blocking probability is considered together to prevent compromising the quality of service. Customers’ willingness-to-pay is regarded to be randomly distributed, indicating price-dependent arrival. Considering the severe complexity of the proposed model, the optimal pricing strategy is numerically investigated through computational experiments based on case studies of two actual services currently operated at Incheon International Airport (Seoul, South Korea). The two services represent a congested and quiet situation, allowing for the analysis of opposite cases. The results of the computational experiments clearly demonstrate distinct optimal strategies for the two contrasting situations. The performance of the two services with their current pricing strategies is evaluated, providing managerial insights for the service providers.

中文翻译：

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M/G/m/m 损失系统中的定价策略：仁川国际机场客户服务案例研究


本文研究了基于高度现实的定价方案的最优定价策略，以最大限度地提高建模为 M/G/m/m 损失系统的服务的收入。将阻塞概率一起考虑，以防止影响服务质量。客户的付款意愿被视为随机分布，表明与价格相关的到达。考虑到所提出的模型的严重复杂性，通过基于仁川国际机场（韩国首尔）目前运营的两种实际服务的案例研究的计算实验对最优定价策略进行了数值研究。这两个服务代表了一个拥挤和安静的局面，允许分析相反的情况。计算实验的结果清楚地表明了两种对比情况的不同最佳策略。评估这两项服务及其当前定价策略的性能，为服务提供商提供管理见解。