Technical Note - Product-Based Approximate Linear Programs for Network Revenue Management

Oper. Res. Pub Date : 2022-08-11 DOI:10.1287/opre.2022.2354
Rui Zhang, S. Samiedaluie, Dan Zhang
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引用次数: 1

Abstract

A Novel and Promising Approximation for Network Revenue Management In “Product-Based Approximate Linear Programs for Network Revenue Management,” Zhang, Samiedaluie, and Zhang propose a novel separable piecewise linear (SPL) approximation for the network revenue management problem. The coefficients of the proposed SPL approximation can be interpreted as each product’s revenue contribution to the value of each resource in a given period, which provides more granular information compared with the existing resource-based SPL approximation in the literature. The new approximation provides more flexibility for policy construction. Furthermore, the new approximation opens the opportunity to derive a set of valid inequalities to further improve the computational performance and achieve additional gains in the expected revenue. Computational experiments with instances of various network structures and parameters demonstrate its efficacy: the new approximation leads to bid-price policies generating higher expected revenues and demonstrates better performance in terms of both computational efficiency and numerical stability.
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技术说明-基于产品的网络收益管理近似线性程序
在“基于产品的网络收益管理近似线性规划”中,Zhang, Samiedaluie和Zhang提出了一种新的网络收益管理问题的可分离分段线性(SPL)近似。所提出的SPL近似的系数可以解释为每个产品在给定时期内对每种资源价值的收入贡献,与文献中现有的基于资源的SPL近似相比,它提供了更细粒度的信息。新的近似为策略构建提供了更大的灵活性。此外,新的近似打开了导出一组有效不等式的机会,以进一步提高计算性能并在预期收益中获得额外收益。不同网络结构和参数实例的计算实验证明了它的有效性:新的近似导致投标价格政策产生更高的预期收入,并且在计算效率和数值稳定性方面表现出更好的性能。
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