两种不同承诺时间下运输服务供应链决策

交通运输系统工程与信息 ›› 2010, Vol. 10 ›› Issue (2): 167-173 .

两种不同承诺时间下运输服务供应链决策

牛林伟;汪传旭^*

上海海事大学经济管理学院，上海 200135

收稿日期:2009-04-10 修回日期:2009-11-21 出版日期:2010-04-25 发布日期:2010-04-25
通讯作者: 汪传旭
作者简介:牛林伟(1984-)，女，河北石家庄人，硕士生
基金资助:
上海市曙光计划项目(06SG48)；上海海事大学校基金项目(2009116)

Decision Making in Transportation Service Supply Chain under Two Different Commitment Times

NIU Lin-wei; WANG Chuan-xu

School of Economics and Management，Shanghai Maritime University，Shanghai 200135, China

Received:2009-04-10 Revised:2009-11-21 Online:2010-04-25 Published:2010-04-25
Contact: WANG Chuan-xu

摘要/Abstract

摘要： 由于需求的不确定性，托运人的承诺时间会对运输服务供应链的决策产生影响. 因此，本文考虑在延迟承诺和提前承诺两种承诺时间下，基于运价分别为外部定价和承运人定价两种情况，建立了运输服务供应链中承运人的运输价格和托运人的托运量优化决策模型，并分别对延迟承诺和提前承诺、整体决策和单独决策时的优化结果进行比较分析，从而为运输服务供应链决策提供有效的参考价值. 通过研究得出，整体决策时运输服务供应链的收益总是大于单独决策时的收益；承运人的运价也对托运人的承诺时间产生影响，在不同的运价下，提早承诺和延迟承诺的优越性不同.

关键词: 交通运输经济, 延迟承诺, 提早承诺, 外部定价, 承运人定价

Abstract: The supplier’s commitment time always influence the decision of the transportation service supply chain when the actual demand is unknown. Considering a delayed commitment and an early commitment, this paper presents decision models to determine the carrier’s transport price and the shipper’s transportation quantity under exogenous price and carrier pricing. The optimal results are compared between the overall decision-making and individual decision-making, delayed commitment and early commitment. It provides references for transportation service supply chain decision-making. It is shown that the profits of the transportation service supply chain under overall decision-making are larger than that under individual decision-making. It also finds that the carrier’s transport price affects the supplier’s commitment time, and the superiority is different between a delayed commitment and an early commitment under different transportation price.

Key words: transportation economy, delayed commitment, early commitment, exogenous price, carrier pricing

中图分类号:

U491

牛林伟,汪传旭. 两种不同承诺时间下运输服务供应链决策[J]. 交通运输系统工程与信息, 2010, 10(2): 167-173 .

NIU Lin-wei, WANG Chuan-xu. Decision Making in Transportation Service Supply Chain under Two Different Commitment Times[J]. Journal of Transportation Systems Engineering and Information Technology, 2010, 10(2): 167-173 .

导出引用管理器 EndNote|Ris|BibTeX

链接本文: http://www.tseit.org.cn/CN/abstract/abstract17963.shtml

http://www.tseit.org.cn/CN/Y2010/V10/I2/167

参考文献

［1］Mark E. When to commit in a serial supply chain with forecast updating［J］. Naval Research Logistics, 2003, 50(10):918-936.

［2］Ertek G, Griffin P. Supplier and buyer-driven channels in a two-stage supply chain［J］. IEEE Trans, 2002,34(8),691-700.

［3］Sarmah S P, Acharya D, Goyal S K. Coordination and profit between a manufacturer and a buyer with target profit under credit option［J］.Science Direct,2007,5(10):1-10.

［4］Taylor T. Sale timing in supply chain: When to sell to the retailer［J］. Working Paper, Columbia University, New York,2002,20(7):557-576 ［5］汪传旭. 运输服务供应链中承运人选择和货载分配的优化决策［J］.系统工程理论方法应用，2005,14（4）:308-312.［WANG C X. Carrier selection and cargo volume allocation in transportation supply chain［J］. System Engineer Theory-Methodology-Applications, 2005,14(4):308-312.］

［6］马彩霞. 基于多Agent的多式联运各区段分运承运人选择［J］.哈尔滨工业大学学报，2007,39（12）: 1989-1992.［Ma C X. Carrier selection in various section of multimodal transport based on multi-agent［J］. Journal of Harbin Institute of Technology, 2007,39(12):1989-1992.］

［7］Dahel N E. Vendor selection and quantity allocation in discount environment［J］. Supply Management, 2003,8(4);335-342.

［8］Salameh M K, Jaber M Y. Economics production quantity model for items with imperfect quality［J］. International Journal of Production Economics, 2000，(64):59-64.

［9］Baiman S, Fischer P E, Rajan M V. Information, contracting, and quality cost［J］. Management Science, 2000,46(6);776-789.

［10］ Hill J, Galdreth M. A heuristic for single-warehouse multi retailer supply chains with all-unit transportation cost discounts［J］. European Journal of Operational Research, 2008，50(187):473-482.

［11］Sutherland J. Collaborative transport management, business briefing［J］. Transport and Logistics Packaging,2003,23(5):88-91.

［12］Stank T P, Goldsby T J. A framework for transportation decision making in an integrated supply chain［J］. Supply Chain Management: An International Journal,2000,5(2):71-76.

［13］Cater J R, Frerrin B. Transportation costs and inventory management: Why transportation costs matter［J］.Production and Inventory Management Journal,2001,37(3):1446-1460.

［14］SM ITH R G. The contract net protocol: high2level communication and control in a distributed problem solver［J］. IEEE Transaction on Computers, 1980,29(12):1104-1113.

［15］Webster F E. The changing role of marketing in the corporation［J］. Journal of Marketing，1992,56(4): 1-17.

［16］Stevens G. Integrating the supply chain［J］. International Journal of Physical Distribution and Materials Management, 1989,19(8):3-8.

[1]	王健, 王慧, 胡晓伟, 李园园. 高峰期考虑乘客议价的网约车定价与平台收益及社会福利优化[J]. 交通运输系统工程与信息, 2022, 22(2): 54-63.
[2]	王景鹏, 祝蕊, 王鹏飞. 需求不确定下的网约车司机最优工资水平研究[J]. 交通运输系统工程与信息, 2022, 22(2): 178-185.
[3]	徐素秀, 谢冰, 秦威, 程会兵. 电动汽车充电与换电模式定价及投资策略[J]. 交通运输系统工程与信息, 2021, 21(5): 183-189.
[4]	鲁皓, 卢鑫, 焦柳丹. 收费公路资产证券化定价及发行方法研究[J]. 交通运输系统工程与信息, 2021, 21(4): 40-46.
[5]	王永, 谭克虎, 张娟. 基础设施公私合营模式融资影响因素及空间溢出效应研究[J]. 交通运输系统工程与信息, 2021, 21(4): 47-53.
[6]	吴贞瑶，帅斌，左博睿. 通货膨胀下高速公路公私合营项目的收入调节研究[J]. 交通运输系统工程与信息, 2021, 21(1): 156-161.
[7]	杨亚璪，李全森. 基于面板数据的乘用车购买偏好分析[J]. 交通运输系统工程与信息, 2021, 21(1): 227-232.
[8]	彭勇，高鹤. 带时间窗的多行程交换箱甩挂路径优化[J]. 交通运输系统工程与信息, 2020, 20(1): 166-174.
[9]	梁喜，陈月. 基于客流量和车公里的城市公共交通混合财政补贴优化模型[J]. 交通运输系统工程与信息, 2019, 19(3): 41-47.
[10]	高永峰，四兵锋. 基于需求弹性的城市公交票价优化方法及实证分析[J]. 交通运输系统工程与信息, 2019, 19(3): 163-168.
[11]	李杰梅，吴浩，刘陈，郝京京 . 边境城市跨境可达性对口岸经济的影响机理[J]. 交通运输系统工程与信息, 2019, 19(2): 30-36.
[12]	孙湘湘，周小亮. 交通基础设施投资、要素市场扭曲和经济增长[J]. 交通运输系统工程与信息, 2019, 19(1): 13-18.
[13]	吴桐雨，王健. 基于多层复杂网络的物流枢纽城市多尺度分析及发育评价[J]. 交通运输系统工程与信息, 2019, 19(1): 33-39.
[14]	任晓红，徐彩睿，任其亮，但婷 . 交通基础设施收入效应的门槛值分析：以西部11省区农村为例[J]. 交通运输系统工程与信息, 2018, 18(6): 28-34.
[15]	席好宁，张一，何流，张毅. 面向多用户类的拥堵和排放收费方案研究[J]. 交通运输系统工程与信息, 2018, 18(6): 140-147.