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考虑服务约束的第三方仓库收益与设计优化模型

, PP. 78-85

Keywords: 设施设计与规划,仓库管理,第三方仓库,服务约束

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Abstract:

?第三方仓库作为服务提供商,主要以期望收益最大化为目标,但是必须满足一定的顾客服务标准。针对高需求环境,考虑顾客服务水平约束,提出了一个基于排队论的随机设计优化模型以使仓库的期望收益最大化。采用动态优化算法对模型求解,选取实例进行了数值实验。结果显示,模型的优化设计显著地提高了高需求环境下该第三方仓库的期望收益。在此基础上,找到了服务约束的可行范围和有效范围,为决策者制定服务标准提供了依据。

References

[1]  Self Storage Association.Self storage industry fact sheet[R]. Alexandria, VA, USA, 2012.
[2]  Self Storage Association UK.Annual industry report[R]. Cheshire, UK, 2009.
[3]  De Koster R, Le-Duc T, Roodbergen K J. Design and control of warehouse order picking:A literature review [J]. European Journal of Operation Research, 2007, 182(2):481-501.
[4]  Roach S S. Services under siege——the restructuring imperative [J]. Harvard Business Review, 1991, 69(5):82-91.
[5]  Tompkins J A, White J A, Bozer Y A, et al. Facilities planning [M]. New York:John Wiley & Sons, 2003.
[6]  Rao A K, Rao M R. Solution procedures for sizing of warehouses [J]. European Journal of Operation Research, 1998, 108(1):16-25.
[7]  邓爱民, 蔡佳, 毛浪.基于时间的自动化立体仓库货位优化模型研究[J]. 中国管理科学, 2013, 21(6):107-112. 浏览
[8]  朱杰, 周丽, 郭键. 分类存储人工拣选随机服务系统效率研究[J]. 管理科学学报, 2012, 15(2):59-71.
[9]  Zhang Xiaodong, Gong Yeming, De Koster R, et al. Storage scheduling decision models for revenue management of self-storage warehouses[C]. Proceedings of 10th International TRAIL Congress, Netherlands, October, 2008, 14-15.
[10]  Gong Yeming. Stochastic modelling and analysis of warehouse operations[D]. Rotterdam, Netherlands:Erasmus University, 2009.
[11]  Talluri K T, Van Ryzin G J. The theory and practice of revenue management [M]. Boston:Kluwer, 2004.
[12]  McGill J I, Van Ryzin G J. Revenue management:Research overview and prospects [J]. Transportation Science, 1999, 33(2):233-256.
[13]  Chiang W-C, Chen J C H, Xu Xiaojing. An overview of research on revenue management:current issues and the future research [J]. International Journal of Revenue Management, 2007, 1(1):97-128.
[14]  Bitran G R, Mondschein S V. An application of yield management to the hotel industry considering multiple say stays [J]. Operations Research, 1995, 43(3):427-443.
[15]  Kjeldsen A H. Revenue management——theory and practice[D]. Lyngby, Denmark:DTU, 2005.
[16]  Gronroos C. Service management and marketing [M]. New York:John Wiley & Sons, 2000.
[17]  Bolton R N, Drew J H. A longitudinal analysis of the impact of service changes on customer attitudes [J]. Journal of Marketing, 1991, 55(1):1-9.
[18]  Elliott T L. Maximizing revenue production while cutting costs:an airline industry mandate [J]. Journal of Revenue & Pricing Management, 2003, 1(4):355-368.
[19]  Ladany S P. Optimal market segmentation of hotel rooms-the non-linear case [J]. Omega, 1996, 24(1):29-36
[20]  Talluri K, Van Ryzin G. Revenue management under a general discrete choice model of consumer behavior [J]. Management Science, 2004, 50(1):15-33.
[21]  Bertsimas D, Paschalidis Ioannis I C. Probabilistic service level guarantees in make-to-stock manufacturing systems [J]. Operations Research, 2001, 49(1):119-133.
[22]  Bertsimas D, De Boer S. Simulation-based booking limits for airline revenue management [J]. Operations Research, 2005, 53(1):90-106.
[23]  Tijms H C. A first course in stochastic models [M]. New York:John Wiley & Sons, 2003.
[24]  Gross D, Harris C. Fundamentals of queuing theory [M]. New York:John Wiley & Sons, 1998.
[25]  Cohen J W. On regenerative processes in queuing theory [M]. Berlin:Springer Verlag, 1976.
[26]  Stoyan D. Comparison methods for queues and other stochastic models [M]. New York:John Wiley & Sons, 1983.

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