全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

集装箱班轮公司航次运力销售过程优化模型

, PP. 79-89

Keywords: 集装箱运输,收益管理,种群演变,共生理论,舱位存量,定价

Full-Text   Cite this paper   Add to My Lib

Abstract:

基于种群演变和共生理论,采用Cobb-Douglas生产函数描述航运市场整体需求,从顾客的购买行为出发,以收益最大作为集装箱班轮公司的经营目标,以基于时间序列的运力与运价作为决策变量,构建了集装箱班轮公司航次运力销售过程优化模型。运用Taylor公式与最小二乘法等代数变换手段将非线性规划问题转化为线性规划问题,对关键参数进行了标定与敏感性分析,并利用MATLAB软件进行仿真验证。仿真结果表明当单个集装箱班轮公司的运力为104TEU时,采用常规的销售策略,集装箱班轮公司可售出的运力为7534~9966TEU,获得收益为1233158~12915936USD,采用提出的优化模型,可售出的运力为9915TEU,获得收益为15111975USD,收益至少提高17%;当2个集装箱班轮公司的运力均为104TEU时,采用提出的优化模型,2个集装箱班轮公司可售出的运力分别为9920、9947TEU,获得收益分别为14241771、9737528USD,达到纳什均衡;当3个集装箱班轮公司的运力均为104TEU时,采用提出的优化模型,3个集装箱班轮公司可售出的运力分别为8289、5526、6034TEU,获得收益分别为6755755、6119906、4377758USD,达到纳什均衡。可见提出的模型可描述多个集装箱班轮公司运力销售情况,且表现出显著的优化效果。

References

[1]  施 欣.基于库存论的集装箱舱位保存量优化决策[J].中国航海,2002(1):59-62.SHI Xin. The study on the optimization of empty container inventory[J]. Navigation of China, 2002(1): 59-62.(in Chinese)
[2]  汪 瑜,孙 宏.竞争环境下航班舱位控制博弈模型[J].交通运输工程学报,2009,9(3):92-97.WANG Yu, SUN Hong. Game model of flight seat inventory control in competitive environment[J]. Journal of Traffic and Transportation Engineering, 2009, 9(3): 92-97.(in Chinese)
[3]  于 辉,张道明.可召回机制下的航空公司最优舱位控制策略[J].系统工程理论与实践,2009,29(6):32-38.YU Hui, ZHANG Dao-ming. Airline’s optimal seating control strategy under the eallable mechanism[J]. Systems Engineering―Theory and Practice, 2009, 29(6): 32-38.(in Chinese)
[4]  衡红军,李雅静.多航段舱位控制稳健优化模型研究[J].计算机工程与设计,2010,31(12):2887-2889.HENG Hong-jun, LI Ya-jing. Research on robust optimization model of multi-leg capacity inventory control[J]. Computer Engineering and Designing, 2010, 31(12): 2887-2889.(in Chinese)
[5]  于 辉,王 菲.基于稳健法则的新航线舱位控制策略[J].系统管理学报,2012,21(2):224-229.YU Hui, WANG Fei. Seating control policy of new route based on the robust rule[J]. Journal of Systems and Management, 2012, 21(2): 224-229.(in Chinese)
[6]  FENG You-yi, XIAO Bai-chun. A continuous-time seat control model for single-leg flights with no-shows and optimal overbooking upper bound[J]. European Journal of Operational Research, 2006, 174(2): 1298-1316.
[7]  PARK C K, SEO J Y. Seat inventory control for sequential multiple flights with customer choice behavior[J]. Computers and Industrial Engineering, 2011, 61(4): 1189-1199.
[8]  CHEN Shao-xiang, GALLEGO G, LI M Z F, et al. Optimal seat allocation for two-flight problems with a flexible demand segment[J]. European Journal of Operational Research, 2010, 201(3): 897-908.
[9]  HUNG Y F, CHEN C H. An effective dynamic decision policy for the revenue management of an airline flight[J]. International Journal of Production Economics, 2013, 144(2): 440-450.
[10]  杨清清,陈浩凯.运输服务业中基于期权的存量控制方法研究[J].长沙理工大学学报:社会科学版,2010,25(5):18-20.YANG Qing-qing, CHEN Hao-kai. An inventory control model for transport service industry based on options[J]. Journal of Changsha University of Science and Technology: Social Science, 2010, 25(5): 18-20.(in Chinese)
[11]  GALLEGO G, RYZIN V G. Optimal dynamic pricing of inventories with stochastic demand over finite horizons[J]. Management Science, 1994, 40(8): 999-1020.
[12]  WEATHERFORD R L, BODILY E S. A taxonomy and research overview of perishable-asset revenue management: yield management, overbooking and pricing[J]. Operations Research, 1992, 40(5): 831-844.
[13]  FENG You-yi, GALLEGO G. Optimal stopping times for end-of-season sales and optimal stopping times for promotional fares[J]. Management Science, 1995, 41(8): 1371-1391.
[14]  ZHAO Wen, ZHENG Yu-sheng. Optimal dynamic pricing for perishable assets with non-homogeneous demand[J]. Management Science, 2000, 46(3): 375-388.
[15]  FENG You-yi, XIAO Bai-chun. Maximizing revenues of perishable assets with risk factor[J]. Operations Research, 1999, 47(2): 337-341.
[16]  FENG You-yi, GALLEGO G. Perishable asset revenue management with Markovian time dependent demand intensities[J]. Management Science, 2000, 46(7): 941-956.
[17]  ELMAGHRABY W, KESKINOCAK P. Dynamic pricing in the presence of inventory considerations: research overview, current practices and future directions[J]. Management Science, 2003, 49(10): 1287-1309.
[18]  BITRAN G, CALDENTEY R. An overview of pricing models for revenue management[J]. Manufacturing and Service Operations Management, 2003, 5(3): 203-229.
[19]  BOOTH A. Symbiosis, selection, and individuality[J]. Biology and Philosphy, 2014, 29(5): 657-673.
[20]  BOONS F, SPEKKINK W, JIAO Wen-ting. A process perspective on industrial symbiosis theory, methodology, and application[J]. Journal of Industrial Ecology, 2014, 18(3): 341-355.
[21]  ALFARO J, MILLER S. Applying industrial symbiosis to smallholder farms: modeling a case study in Liberia, West Africa[J]. Journal of Industrial Ecology, 2013, 18(1): 145-154.
[22]  CHERTOW M, EHRENFELD J. Organizing self-organizing systems: toward a theory of industrial symbiosis[J]. Journal of Industrial Ecology, 2012, 16(1): 13-27.
[23]  PAQUIN R L, HOWARD-GRENVILLE J. The evolution of facilitated industrial symbiosis[J]. Journal of Industrial Ecology, 2012, 16(1): 83-93.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133