期刊文献+

基于p-中位模型的单目标物流配送时间点决策 被引量:1

Time points decision of single target logistics delivery based on p-median model
原文传递
导出
摘要 为了确定最佳的配送时间点,利用p-中位模型,研究单配送目标物流配送的时间点决策问题,建立了最少配送次数、最短配送时间和运费有折扣情况下最低运输成本的数学模型,并以航空货物配送为例,利用ILOG优化软件分别计算了3种模型的配送时间点。计算结果表明:实现最少配送次数需要的平均配送时间是最短平均配送时间的1.6倍,在运费有折扣情况下实现最低运输成本所需配送时间比没有折扣情况下的略长;货主或者物流服务商可以根据客户要求选择相应的模型,确定配送时间点,实现最优决策。 In order to decide the best delivery time points, three cases of single delivery target were studied by using p-median model, the mathematical models of least delivery times, minimum delivery time and minimum transportation cost under the condition of freight discount were build, and taking air cargo transportation as a case, their delivery time points were calculated by using ILOG optimization software. Analysis result shows that the average delivery time of least delivery times is 1.6 times higher than the average minimum delivery time, and the delivery time of realizing minimum transportation cost under the condition of freight discount is longer than that without freight discount. So consignors or logistics service providers can choose the models to decide the best delivery time points according to customer requirements. 6 tabs, 17 refs.
作者 白杨 朱金福
出处 《交通运输工程学报》 EI CSCD 北大核心 2009年第6期92-96,共5页 Journal of Traffic and Transportation Engineering
基金 中国民用航空总局应用技术项目(MHRD0622)
关键词 物流配送 p-中位模型 时间点决策 成本优化 logistics delivery p-median model time points decision cost optimization
  • 相关文献

参考文献17

  • 1CHEUNG R K M, POWELL W B. Models and algorithms for distribution problems with uncertain demands[J]. Transportation Science, 1996, 30(1) : 43-59.
  • 2VROBLEFSKI M, RAMESH R, ZIONTS S. Efficient lot sizing under a differential transportation cost structure for serially distributed warehouses[J]. European Journal of Operational Research, 2000, 127(3): 574-593.
  • 3李昆鹏,马士华.基于JIT配送的3PL运输协调调度问题建模与分析[J].中国管理科学,2008,16(1):73-79. 被引量:12
  • 4赵秋红,高洋,郗蒙浩.准时配送与分销中心的设置决策[J].管理评论,2007,19(5):47-50. 被引量:2
  • 5韩庆兰,梅运先.基于BP人工神经网络的物流配送中心选址决策[J].中国软科学,2004(6):140-143. 被引量:57
  • 6LEUNG S C H, WU Y, LAI K K. A robust optimization model for a cross-border logistics problem with fleet composition in an uncertain environment[J]. Mathematical and Computer Modelling, 2002, 36(11/12/13): 1221-1234.
  • 7GEN M, SYARIF A. Hybrid genetic algorithm for multitime period production/distribution planning[J]. Computers and Industrial Engineering, 2005, 48(4) : 799-809.
  • 8HAUGHTON M A, STENGER A J. Comparing strategies for addressing delivery shortages in stochastic demand settings[J]. Transportation Research Part E: Logistics and Transportation Review, 1999, 35(1): 25-41.
  • 9GEUNES J, ZENG A Z. Impacts of inventory shortage policies on transportation requirements in two-stage distribution systems[J]. European Journal of Operational Research, 2001, 129(2):299-310.
  • 10王平,唐喜平,李云.一类多源点物流配送优化模型的探讨[J].系统工程理论与实践,2003,23(3):87-91. 被引量:7

二级参考文献56

  • 1韦波,张祥建.基于JIT的存货管理策略探讨[J].企业活力,2004(8):40-41. 被引量:11
  • 2Sam R T, Jean Y P, Tong S. Heuristic approaches to vehicle routing with backhauls and time windows[J].Computers and Operations Research, 1996,23 (11) : 1043-1057.
  • 3Laporte G, Nobert Y. Exact Algorithm for the Vehicle Routing Problem[M]. Amsterdam: North-Holland Publishing, 1987.47-84.
  • 4Christofides N. A new exact algorithm for the vehicle routing problem based on q-path and k-shortest path relaxations[R]. London : Imperial College, 1993.
  • 5Fisher M L. Vehicle routing with time windows: Two optimization algorithms [J]. Operations Research, 1997,45(3) :488-492.
  • 6Laporte G. The vehicle routing problem: An overview of exact and approximate algorithm[J]. European J of Operational Research, 1992,59(3):345-358.
  • 7Osman I H. Metastrategy simulated annealing and tabu search algorithm for combinatorial optimization problems[J]. Annals of Operations Research, 1993,41 (3) :421-451.
  • 8Bruno D B, Vincent F, Paul S, et al. Solving vehicle routing problems using constraint programming and metaheuristics[J]. J of Heutistics, 2000, 6 (4): 501-523.
  • 9Holland J. Adaption in Natural and Artificial Systems[M]. Ann Arbor: The University of Michigan Press,1975.
  • 10Goldberg D. Genetic Algorithm in Search Optimization and Machine Learning[M]. New York: Addison-Wesley Publishing Company Inc,1989.

共引文献292

同被引文献11

引证文献1

二级引证文献3

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