期刊文献+

基于时间序列邮轮定价策略的研究

Pricing Strategy of Mail Steamer Based on Time Series
下载PDF
导出
摘要 目的针对邮轮的实际预订人数、预订舱位价格、预订平均价格的预测,建立最大预期售票收益模型,使得邮轮公司利润最大化。方法首先使用Excel对原数据进行处理获得增量矩阵,基于所有可观测到的可用数据做出预测,并通过增量矩阵基于需求增加的百分比来预测未来需求。其次了解公司定价的基本机制,分别运用曲线拟合法、需求实现机制对平均价格进行预测,并结合MATLAB、SPSS、Excel等软件做出拟合曲线图。最后根据每周预定价格均匀分布的特征计算出各航次价格的概率分布,建立EMSR模型,并结合所计算出的概率得到不同等级每个座位的预期边际收益,从而根据相关数据得到邮轮公司的总收益。结果意愿预订人数与平均价格呈三次函数分布,意愿预订人数转化为实际预订人数的概率系数的表达式是价格的函数。当预期边际收益为零时总收益达到最大,第八次航行的预期售票收益为131 034元。结论邮轮舱位的价格和预定邮轮舱位数与邮轮公司的收益息息相关,在一定程度上邮轮业的发展会推动经济的进步,因此要更加重视邮轮业的发展。 Objective To forecast the actual booking number of passenger on a mail steamer,booking reservation price and the average price and establish the maximum expected revenue model to maximize the profit of company.Methods Firstly,the incremental matrix was obtained by processing the raw data by means of Excel,and based on all available data,predictions were made.The future demand was predicted by the incremental matrix based on the percentage of demand.Secondly,the basic mechanism of the company's pricing was obtained.By using the curve fitting method and the demand for the realization of the mechanism the average price was predicted. MATLAB,SPSS and Excel were used to make a fitting curve.At last,according to the weekly scheduled hedonic price distribution,the probability distribution of the price of the voyage was calculated.By establishing the EMSR model and combining the calculated probability the expected marginal revenue of each seat in different grades was obtained,thus getting the total revenue of the company according to the relevant data.Results The number of people willing to book and the average price was distributed in the form of cubic function,the expression of the probability of the number of booking people transforming into the actual number was the function of the price.In addition,when the expected marginal revenue was zero,total revenue reached the maximum.During the eighth voyage,the expected ticket revenue was 131,034 yuan.Conclusion The accommodation prices and scheduled cabin number are closely related to the company's revenue,and the development of passenger liner industry will promote to a certain extent the economic progress.Therefore more attention should be paid to the development of the passenger liner industry.
出处 《河北北方学院学报(自然科学版)》 2017年第1期52-57,共6页 Journal of Hebei North University:Natural Science Edition
基金 2016年安徽省大学生创新训练项目(201610378765)
关键词 回归预测法 先进增量法 乘法增量法 EMSR-a模型 MATLAB regression prediction method advanced incremental method multiplication incremental method EMSR-a model MATLAB
  • 相关文献

参考文献3

二级参考文献99

  • 1王庆国,蔡淑琴.客户服务运作与信息不对称控制的实例研究[J].现代图书情报技术,2006(2):76-82. 被引量:2
  • 2Brumelle S L, McGill J I. Airline seat allocation with multiple nested fare classes[ J]. Operations Research, 1993, 41: 127-137.
  • 3Feldman J M. To rein in those CRSs[J]. Air Transport World, 1991, 28(12): 89-92.
  • 4Smith B, Leimkuhler J, Darrow R, et al. Yield management at American Airlines[J]. Interface, 1992, (1): 8-31.
  • 5Cross R G. Revenue Management: Hard-Core Tactics for Market Domination[M]. New York: Broadway Books, 1997. 34-47.
  • 6Weatherford L R, Bodily S E. A taxonomy and research overview of perishable-asset Revenue management: Yield management,overbooking and pricing[J]. Operations Research, 1994, 40: 831-844.
  • 7McGill J I, van Ryzin G J. Revenue management: Research overiew and prospects[J]. Transportaion Science, 1999, 33: 233-256.
  • 8Gallego G, van Ryzin G J. Optimal dynamic pricing of inventories with stochastic demand over finite horizons[J]. Management Science, 1994, 40: 999-1020.
  • 9Feng Y, Gallego G. Optimal stopping times for end of season sales and optimal stopping times for promotional fares[ J]. Management Science, 1995, 41: 1371-1391.
  • 10Feng Y, Gallego G. Perishable asset revenue management with Markovian time dependent demand intensities[ J]. Management Science, 2000, 46: 941-956.

共引文献110

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部