收益管理中基于大数据仓库的需求无约束估计：框架与挑战

郭鹏

doi:10.11959/j.issn.2096-0271.2017031

您当前的位置：

首页 >

文章列表页 >

收益管理中基于大数据仓库的需求无约束估计：框架与挑战

研究 | 更新时间：2024-06-03

- 收益管理中基于大数据仓库的需求无约束估计：框架与挑战
- Demand unconstraining estimation based on big data warehouse in revenue management systems:framework and challenges
- 大数据 2017年3卷第3期页码：2017031
- 作者机构：
- 作者简介：
  
  [ "郭鹏（1984-），男，博士，贵阳学院经济管理学院讲师，主要研究方向为收益管理理论与方法、需求无约束估计和预测、系统仿真优化、大数据分析。2006年起至今，从事有关收益管理、系统仿真优化方面的研究，作为第一作者在《Advances in Operations Research》《系统工程理论与实践》《系统科学与数学》《数理统计与管理》《计算机仿真》等期刊上发表十余篇论文，主持和参与了多项课题：2010—2014年参与完成了国家自然科学基金委员会重大项目（No.71090402）；2015年主持并完成了贵阳市科协软科学研究项目（No. 2015B23），同年主持了国家社会科学基金一般项目（No. 15BGL198）；2016年主持了贵州省教育厅高校人文社会科学研究自筹项目（No. 2016ZC021）、贵阳市科学技术协会软科学研究项目（No. 2016A01）和贵阳学院院级科研项目（No. GYXY[2016]24）。" ]
- 基金信息：
  
  国家社会科学基金资助项目;The National Social Science Foundation of China(15BGL198);贵州省教育厅高校人文社会科学研究基金资助项目;The Colleges ＆ Universities Humanities and Social Sciences Research Project of Educational Commission of Guizhou Province of China(2016ZC021);贵阳市科学技术协会软科学研究基金资助项目;Soft Science Research Project of Guiyang Association of Science and Technology(2016A01)
- DOI：10.11959/j.issn.2096-0271.2017031
  中图分类号： N945.23,N945.24
- 网络首发：2017-05，
  
  纸质出版：2017-05-20
- 稿件说明：
移动端阅览
郭鹏. 收益管理中基于大数据仓库的需求无约束估计：框架与挑战[J]. 大数据, 2017,3(3):2017031.

Peng GUO. Demand unconstraining estimation based on big data warehouse in revenue management systems:framework and challenges[J]. Big data research, 2017, 3(3): 2017031.
郭鹏. 收益管理中基于大数据仓库的需求无约束估计：框架与挑战[J]. 大数据, 2017,3(3):2017031. DOI： 10.11959/j.issn.2096-0271.2017031.

Peng GUO. Demand unconstraining estimation based on big data warehouse in revenue management systems:framework and challenges[J]. Big data research, 2017, 3(3): 2017031. DOI： 10.11959/j.issn.2096-0271.2017031.

摘要

现有需求无约束估计方法均为基于公司内部数据仓库中所获需求信息而开发，在当前基于大数据分析的激烈竞争市场环境中，无法满足收益管理系统日益增长的实时需求预测和优化决策分析需要。为了实时、动态地同时获取并分析内部和外部数据资源中有关每位顾客的无约束需求数据，包括结构化和非结构化的信息，提出了以面向收益管理需求无约束估计为主题的大数据仓库框架，并据此讨论了无约束需求知识挖掘以及需求无约束估计商务智能分析工具开发应用过程中面临的各项挑战。

Abstract

In order to achieve and exam the unconstrained demand data related to each customer in real time and dynamically from both internal and external data resources

including structured and unstructured information

a big data warehouse framework for demand unconstraining estimation in revenue management was proposed.After that

the challenges in unconstrained demand knowledge mining

as well as the process of development and application of business intelligence analysis tools for demand unconstraining estimation were discussed.

关键词

Keywords

references

CROSS R G . Revenue management:hardcore tactics for market domination [M ] . New York : The Broadway BooksPress , 1997 .

GUO P , XIAO B C , LI J . Unconstraining methods in revenue management systems:research overview and prospects [J ] . Advances in Operations Research , 2012 , 2012 ( 270910 ): 1 - 23 .

AZADEH S S , MARCOTTE P , SAVARD G . A taxonomy of demand uncensoring methods in revenue management [J ] . Journal of Revenue and Pricing Management , 2014 , 13 ( 6 ): 440 - 456 .

WEATHERFORD L . The history of unconstraining models in revenue management [J ] . Journal of Revenue and Pricing Management , 2016 , 15 ( 3 ): 222 - 228 .

WEATHERFORD L . The history of forecasting models in revenue management [J ] . Journal of Revenue and Pricing Management , 2016 , 15 ( 3 ): 212 - 221 .

黄宜华 . 大数据机器学习系统研究进展 [J ] . 大数据 , 2015 , 1 ( 1 ):2015004.

HUANG Y H . Research progress on big data machine learning system [J ] . Big Data Research , 2015 , 1 ( 1 ):2015004.

孟小峰 , 慈祥 . 大数据管理:概念、技术与挑战 [J ] . 计算机研究与发展 , 2013 , 50 ( 1 ): 146 - 169 .

MENG X F , CI X . Big data management:concepts,techniques and challenges [J ] . Journal of Computer Research and Development , 2013 , 50 ( 1 ): 146 - 169 .

李国杰 , 程学旗 . 大数据研究:未来科技及经济社会发展的重大战略领域——大数据的研究现状与科学思考 [J ] . 中国科学院院刊 , 2012 , 27 ( 6 ): 5 - 15 .

LI G J , CHENG X Q . Research status and scientific thinking of big data [J ] . Bulletin of Chinese Academy of Sciences , 2012 , 27 ( 6 ): 5 - 15 .

SCHERMANN M , KRCMAR H , HEMSEN H , et al . Big data - an interdisciplinary opportunity for information systems research [J ] . Business ＆ Information Systems Engineering , 2014 , 6 ( 5 ): 261 - 266 .

徐宗本 , 冯芷艳 , 郭迅华 , 等 . 大数据驱动的管理与决策前沿课题 [J ] . 管理世界 , 2014 , 30 ( 11 ): 158 - 163 .

XU Z B , FENG Z Y , GUO X H , et al . Leading issues in the big data driven management and decision making [J ] . Management World , 2014 , 30 ( 11 ): 158 - 163 .

XUAN L W , HEO C Y , SCHWARTZ Z , et al . Revenue management:progress,challenges,and research prospects [J ] . Journal of Travel ＆ Tourism Marketing , 2015 , 32 ( 7 ): 797 - 811 .

张建城 , 朱金福 . 航空公司收益管理预测系统的总体设计 [J ] . 中国科技信息 , 2004 , 15 ( 24 ): 107 .

ZHANG J C , ZHU J F . The overall design of airline revenue management forecasting system [J ] . China Science and Technology Information , 2004 , 15 ( 24 ): 107 .

冯兴杰 . 基于数据仓库的收益管理系统结构设计 [J ] . 中国民航学院学报 , 2003 , 21 ( S2 ): 122 - 126 .

FENG X J . Structure design of revenue management system based on data warehouse [J ] . Journal of Civil Aviation University of China , 2003 , 21 ( S2 ): 122 - 126 .

王红 . 航空公司客运收益管理系统数据仓库的设计 [J ] . 计算机应用与软件 , 2004 , 21 ( 6 ): 49 - 50 .

WANG H . The design of data warehousing of the civil aviation revenue manage system [J ] . Computer Applications and Software , 2004 , 21 ( 6 ): 49 - 50 .

李丽娟 , 夏洪山 . 收益管理系统数据仓库模型建立研究 [J ] . 江苏航空 , 2007 , 26 ( 3 ): 5 - 7 .

LI L J , XIA H S . The data warehousing modeling of revenue management system [J ] . Jiangsu Aviation , 2007 , 26 ( 3 ): 5 - 7 .

满青珊 , 张金隆 , 韦司滢 , 等 . 区域航空收益管理数据仓库设计与实现 [J ] . 情报杂志 , 2009 , 28 ( 12 ): 122 - 126 .

MAN Q S , ZHANG J L , WEI S Y , et al . Design and implement of regional airline revenue management data warehouse [J ] . Journal of Intelligence , 2009 , 28 ( 12 ): 122 - 126 .

RAMOS C , CORREIA M , RODRIGUES J , et al . Big data warehouse framework for smart revenue management [C ] // Naun International Conference on Management,Marketing,Tourism,Retail,Finance and Computer Applications,June 10,2015,Tenerife,Canary Islands,Spain .[S.l.:s.n ] 2015 : 13 - 22 .

COOPER W L,HOMEM-DE-MELLO T , KLEYWEGT A J . Models of the spiraldown effect in revenue management [J ] . Operations Research , 2006 , 54 ( 5 ): 968 - 987 .

VULCANO G , RYZIN G V , RATLIFF R . Estimating primary demand for substitutable products from sales transaction data [J ] . Operations Research , 2012 , 60 ( 2 ): 313 - 334 .

RYZIN G V , VULCANO G . A market discovery algorithm to estimate a general class of nonparametric choice models [J ] . Management Science , 2015 , 61 ( 2 ): 281 - 300 .

罗利 , 萧柏春 . 收入管理理论的研究现状及发展前景 [J ] . 管理科学学报 , 2004 , 7 ( 5 ): 75 - 83 .

LUO L , XIAO B C . Revenue management:state-of-the-art and future prospects [J ] . Journal of Management Sciences in China , 2004 , 7 ( 5 ): 75 - 83 .

SKWAREK D K , . Revenue and traffic impacts of alternative detruncation methods [C ] // AGIFORS Reservations and Yield Management Study Group,October 11,1996,Zurich,Switzerland .[S.l.:s.n ] 1996 .

WEATHERFORD L R,PÖLT S . Better unconstraining of airline demand data in revenue management systems for improved forecast accuracy and greater revenues [J ] . Journal of Revenue and Pricing Management , 2002 , 1 ( 3 ): 234 - 254 .

WEATHERFORD L R . Improved revenues from various unconstraining methods in a passenger origin-destination simulator (PODS) environment with semi-restricted fares [J ] . Journal of Revenue and Pricing Management , 2013 , 12 ( 1 ): 60 - 82 .

PÖLT S , . From bookings to demand:the process of unconstraining [C ] // AGIFORS Reservations and Yield Management Study Group,October 5,2000,New York,NY,USA.[S.l.:s.n . ] , 2000 .

WEATHERFORD L R , . Unconstraining methods [C ] // AGIFORS Reservations and Yield Management Study Group,October 5,2000,New York,NY,USA .[S.l.:s.n ] 2000 .

RUD O P . Business intelligence success factors tools for aligning your business in the global economy [M ] . Hoboken N J : Wiley ＆ SonsPress , 2009 .

乔向杰 , 张凌云 . 知识型旅游目的地管理平台框架及其构建 [J ] . 人文地理 , 2014 , 138 ( 4 ): 104 - 110 .

QIAO X J , ZHANG L Y . Framework and construction of a knowledgeable destination [J ] . Human Geography , 2014 , 138 ( 4 ): 104 - 110 .

程学旗 , 靳小龙 , 王元卓 , 等 . 大数据系统和分析技术综述 [J ] . 软件学报 , 2014 , 25 ( 9 ): 1889 - 1908 .

CHENG X Q , JIN X L , WANG Y Z , et al . Survey on big data system and analytic technology [J ] . Journal of Software , 2014 , 25 ( 9 ): 1889 - 1908 .

冯芷艳 , 郭迅华 , 曾大军 , 等 . 大数据背景下商务管理研究若干前沿课题 [J ] . 管理科学学报 , 2013 , 16 ( 1 ): 1 - 9 .

FENG Z Y , GUO X H , ZENG D J , et al . On the research frontiers of business management in the context of big data [J ] . Journal of Management Sciences in China , 2013 , 16 ( 1 ): 1 - 9 .

MOHANTY S , JAGADEESH M , SRIVATSA H . Big data imperatives:enterprise ‘big data’ warehouse,‘BI’ implementations and analytics [M ] . California : ApressPress , 2013 .

TRIA F D , LEFONS E , TANGORRA F . Big data warehouse automatic design methodology [J ] . Big Data Management,Technologies,and Applications , 2014 ( 2 ): 115 - 149 .

FUCHS M , ABADZHIEV A , SVENSSON B , et al . A knowledge destination framework for tourism sustainability:a business intelligence application from Sweden [J ] . Tourism , 2013 , 6 ( 2 ): 121 - 148 .

FUCHS M , HÖPKEN W , LEXHAGEN M . Big data analytics for knowledge generation in tourism destinations - a case from Sweden [J ] . Journal of Destination Marketing ＆Management , 2014 , 3 ( 4 ): 198 - 209 .

李涛 , 曾春秋 , 周武柏 , 等 . 大数据时代的数据挖掘——从应用的角度看大数据挖掘 [J ] . 大数据 , 2015 , 1 ( 1 ):2015041.

LI T , ZENG C Q , ZHOU W B , et al . Data mining in the era of big data:from the application perspective [J ] . Big Data Research , 2015 , 1 ( 1 ):2015041.

张紫琼 , 叶强 , 李一军 . 互联网商品评论情感分析研究综述 [J ] . 管理科学学报 , 2010 , 13 ( 6 ): 84 - 96 .

ZHANG Z Q , YE Q , LI Y J . Literature review on sentiment analysis of online product reviews [J ] . Journal of Management Sciences in China , 2010 , 13 ( 6 ): 84 - 96 .

徐健 . 基于网络用户情感分析的预测方法研究 [J ] . 中国图书馆学报 , 2013 , 39 ( 3 ): 96 - 107 .

XU J . Research on predicting methods based on network user sentiment analysis [J ] . Journal of Library Science in China , 2013 , 39 ( 3 ): 96 - 107 .

涂海丽 , 唐晓波 . 基于在线评论的游客情感分析模型构建 [J ] . 现代情报 , 2016 , 36 ( 4 ): 70 - 77 .

TU H L , TANG X B . Tourist sentiment analysis model building based on online reviews [J ] . Journal of Modern Information , 2016 , 36 ( 4 ): 70 - 77 .

任磊 , 杜一 , 马帅 , 等 . 大数据可视分析综述 [J ] . 软件学报 , 2014 , 25 ( 9 ): 1909 - 1936 .

REN L , DU Y , MA S , et al . Visual analytics towards big data [J ] . Journal of Software , 2014 , 25 ( 9 ): 1909 - 1936 .

陈涛 , 李佼 . 基于大数据的旅游服务供应链管理研究 [J ] . 电子政务 , 2013 , 132 ( 12 ): 32 - 40 .

CHEN T , LI J . Study on the tourism service supply chain management based on big data [J ] . E-Government , 2013 , 132 ( 12 ): 32 - 40 .

MARTINS D , LAM R , RODRIGUES J , et al . A Web crawler framework for revenue management [C ] // The 14th Int.Conf.on Artificial Intelligence,Knowledge Engineering and Data Bases (AIKED '15),January 10,2015,Tenerife,Canary Islands,Spain .[S.l.:s.n ] 2015 : 88 - 97 .

FERRARA E , DE MEO P , FIUMARA G , et al . Web data extraction,applications and techniques:a survey [J ] . KnowledgeBased Systems , 2014 , 70 ( C ): 301 - 323 .

GHOBADI A , RAHGOZAR M . An ontology based semantic extraction approach for B2C e-commerce [J ] . The International Arab Journal of Information Technology , 2011 , 8 ( 2 ): 163 - 170 .

BAUMGARTNER R , CERESNA M , LEDERMULLER G . Deep web navigation in web data extraction [C ] // International Conference on Computational Intelligence for Modelling,Control and Automation and International Conference on Intelligent Agents,Web Technologies and Internet Commerce,November 28-30,2005,Vienna,Austria . New Jersey:IEEE Press , 2005 : 698 - 703 .

时永坤 . 基于WebDriver的定向网络爬虫设计与实现 [J ] . 软件 , 2016 , 37 ( 9 ): 94 - 97 .

SHI Y K . Design and implement of WebDriver based crawler [J ] . Computer Engineering ＆Software , 2016 , 37 ( 9 ): 94 - 97 .

王元卓 , 靳小龙 , 程学旗 . 网络大数据:现状与展望 [J ] . 计算机学报 , 2013 , 36 ( 6 ): 1125 - 1138 .

WANG Y Z , JIN X L , CHENG X Q . Network big data:present and future [J ] . Chinese Journal of Computers , 2013 , 36 ( 6 ): 1125 - 1138 .

QIU T , YANG T . Automatic information extraction from e-commerce web sites [C ] // The International Conference on E-Business and E-Government,ICEE 2010,May 7-9,2010,Guangzhou,China . New Jersey:IEEE Press , 2010 : 1399 - 1402 .

申德荣 , 于戈 , 王习特 , 等 . 支持大数据管理的NoSQL 系统研究综述 [J ] . 软件学报 , 2013 , 24 ( 8 ): 1786 - 1803 .

SHEN D R , YU G , WANG X T , et al . Survey on NoSQL for management of big data [J ] . Journal of Software , 2013 , 24 ( 8 ): 1786 - 1803 .

REDMOND E , WILSON J R . Seven databases in seven weeks:a guide to modern databases and the NoSQL movement [M ] . Dallas : Pragmatic BookshelfPress , 2012 .

程学旗 , 兰艳艳 . 网络大数据的文本内容分析 [J ] . 大数据 , 2015 , 1 ( 1 ):2015029.

CHENG X Q , LAN Y Y . Text content analysis for web big data [J ] . Big Data Research , 2015 , 1 ( 1 ):2015029.

袁书寒 , 向阳 , 鄂世嘉 . 基于特征学习的文本大数据内容理解及其发展趋势 [J ] . 大数据 , 2015 , 1 ( 1 ):2015030.

YUAN S H , XIANG Y , E S J . Text big data content understanding and development trend based on feature learning [J ] . Big Data Research , 2015 , 1 ( 1 ):2015030.

ZHENG X , SCHWARTZ Z , GERDES J H , et al . What can big data and text analytics tell us about hotel guest experience and satisfaction [J ] . International Journal of Hospitality Management , 2015 , 44 ( 44 ): 120 - 130 .

PAN B , WU D C G , SONG H . Forecasting hotel room demand using search engine data [J ] . Journal of Hospitality and Tourism Technology , 2012 , 3 ( 3 ): 196 - 210 .

YANG Y , PAN B , SONG H . Predicting hotel demand using destination marketing organization’s web traffic data [J ] . Journal of Travel Research , 2014 , 53 ( 4 ): 433 - 447 .

YANG X , PAN B , EVANS J A , et al . Forecasting Chinese tourist volume with search engine data [J ] . Tourism Management , 2015 , 46 : 386 - 397 .

BANGWAYO-SKEETE P F , SKEETE R W . Can Google data improve the forecasting performance of tourist arrivals? mixeddata sampling approach [J ] . Tourism Management , 2015 , 46 : 454 - 464 .

马丽君 , 孙根年 , 黄云玛 , 等 . 城市国内客流量与游客网络关注度时空相关分析 [J ] . 经济地理 , 2011 , 31 ( 4 ): 680 - 685 .

MA L J , SUN G N , HUANG Y M , et al . A correlative analysis on the relationship between domestic tourists and network attention [J ] . Economic Geography , 2011 , 31 ( 4 ): 680 - 685 .

龙茂兴 , 孙根年 , 马丽君 , 等 . 区域旅游网络关注度与客流量时空动态比较分析——以四川为例 [J ] . 地域研究与开发 , 2011 , 30 ( 3 ): 93 - 97 .

LONG M X , SUN G N , MA L J , et al . An analysis on the variation between the degree of consumer attention of travel network and tourist flow in regional tourism:a case of Sichuan province [J ] . Areal Research and Development , 2011 , 30 ( 3 ): 93 - 97 .

黄先开 , 张丽峰 , 丁于思 . 百度指数与景区游客量的关系及预测研究——以北京故宫为例 [J ] . 旅游学刊 , 2013 , 28 ( 11 ): 93 - 100 .

HUANG X K , ZHANG L F , DING Y S . Study on the predictive and relationship between tourist attractions and the Baidu index:a case study of the forbidden city [J ] . Tourism Tribune , 2013 , 28 ( 11 ): 93 - 100 .

王炼 , 贾建民 . 基于网络信息搜索的旅游需求预测——来自黄金周的证据 [J ] . 系统管理学报 , 2014 , 23 ( 3 ): 362 - 368 .

WANG L , JIA J M . Forecasting of tourism demand in the golden week with online information search [J ] . Journal of Systems＆ Management , 2014 , 23 ( 3 ): 362 - 368 .

陈涛 , 刘庆龙 . 智慧旅游背景下的大数据应用研究:以旅游需求预测为例 [J ] . 电子政务 , 2015 , 153 ( 9 ): 6 - 13 .

CHEN T , LIU Q L . Research on the application of big data in the context of intelligent tourism:a case study of tourism demand forecasting [J ] . E-Government , 2015 , 153 ( 9 ): 6 - 13 .

周岳骞 . 面向民航需求建模的用户查询日志大数据分析方法研究与实现 [D ] . 北京:北京交通大学 , 2016 .

ZHOU Y Q . Research on query log data of civil aviation for passenger demand modeling [D ] . Beijing:Beijing Jiaotong University , 2016 .

MARRESE-TAYLOR E , VELÁSQUEZ J D , BRAVO-MARQUEZ F . A novel deterministic approach for aspectbased opinion mining in tourism products reviews [J ] . Expert Systems with Applications , 2014 , 41 ( 17 ): 7764 - 7775 .

吴启迪 . 大数据环境下管理科学领域相关问题探讨 [J ] . 科技促进发展 , 2014 , 10 ( 1 ): 9 - 14 .

WU Q D . A discussion on management science issues under the big data environment [J ] . Science ＆ Technology for Development , 2014 , 10 ( 1 ): 9 - 14 .

JAIN A , RUDI N , WANG T . Demand estimation and ordering under censoring:stock-out timing is almost all you need [J ] . Operations Research , 2015 , 63 ( 1 ): 134 - 150 .

FISHER M , VAIDYANATHAN R . A demand estimation procedure for retail assortment optimization with results from implementations [J ] . Management Science , 2014 , 60 ( 10 ): 2401 - 2415 .

MA X , DENG T , LAN B . Demand estimation and assortment planning in wireless communications [J ] . Journal of Systems Science and Systems Engineering , 2016 , 25 ( 4 ): 398 - 423 .

LIU P H , SMITH S , ORKIN E B , et al . Estimating unconstrained hotel demand based on censored booking data [J ] . Journal of Revenue and Pricing Management , 2002 , 1 ( 2 ): 121 - 138 .

LAWLESS J F . Statistical models and methods for lifetime data [M ] . New York : John Wiley ＆ SonsPress , 2003 .

KLEIN J P , MOESCHBERGER M L . Survival analysis [M ] . New York : SpringerPress , 2005 .

浏览量

654

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

让大数据分析更可信

大数据时代的数据挖掘——从应用的角度看大数据挖掘

面向大数据的可扩展正则采样并行排序算法

基于大数据技术的甘肃智慧旅游系统

大数据与计算模型