模糊供求条件下应急物资动态调度决策研究

中国管理科学 ›› 2014, Vol. 22 ›› Issue (1): 55-64.

模糊供求条件下应急物资动态调度决策研究

王海军¹, 王婧², 马士华¹, 杜丽敬¹

1. 华中科技大学管理学院, 湖北武汉 430074;
2. 安徽农业大学信息与计算机学院, 安徽合肥 230036

收稿日期:2011-11-15 修回日期:2013-05-31 出版日期:2014-01-20 发布日期:2014-01-20
基金资助:
国家自然科学基金重点项目（71131004）；国家自然科学基金资助项目（70972020，71372135）

Decision-Making for Emergency Materials Dynamic Dispatching Based on Fuzzy Demand and Supply

WANG Hai-jun¹, WANG Jing², MA Shi-hua¹, DU Li-jing¹

1. School of Management, Huazhong University of Science and Technology, Wuhan 430074, China;
2. School of Information and Computer Science, Anhui Agricultural Vniversity, Hefei 230036, China

Received:2011-11-15 Revised:2013-05-31 Online:2014-01-20 Published:2014-01-20

摘要/Abstract

摘要： 围绕大规模突发事件应急的特点，在供应点、集配中心到需求点的三级供应网络的基础上，研究了模糊供求条件下的多模式联合调运的应急物资动态调度问题。首先建立了在需求满足率最大化的基础上，以总运输时间和应急成本为目标的带序关系的多目标非线性规划模型。考虑供大于求和供不应求两种供求关系，对于供不应求的物资，下一周期将优先配给。另外，采用最可能值法确定模糊数的权重和置信水平，采用平均权重法将三角模糊数转化为确定值，给出了去模糊化的策略和具体算法。通过决策者对运输时间和应急成本的动态赋权，提高了模型的柔性。最后以汶川地震为背景，设计仿真实例，验证了模型和算法的有效性。

关键词: 模糊供求, 三级网络结构, 多种运输方式, 动态调度

Abstract: In order to solve the emergency material dispatching problem for major disasters, based on three-level network of the supply points, supply hubs and demand points, the fuzzy demand and supply conditions and intermodal transportation are studied in this paper. Firstly,a multi-objective nonlinear programming model is proposed with the objectives of total transportation time and cost on the condition of maximizing demand fulfillment rate. It considers two situations of oversupply and short supply. The materials of short supply are supplied with priority Furthermore, the most likely value method is used to determine the weight of fuzzy number and level of confidence. Triangular fuzzy number is converted to determine value with the average weight method. It provides defuzzification strategies and specific algorithm. Decision-makers dynamically give weights to both the objectives thus the flexibility of the model is improved. It finally designs a simulation example according the background of Wenchuan earthquake and verifies the validity of the model with the example.

Key words: fuzzy supply and demand, three-level network, intermodal transportation, dynamic dispatching

中图分类号:

C931

王海军, 王婧, 马士华, 杜丽敬. 模糊供求条件下应急物资动态调度决策研究[J]. 中国管理科学, 2014, 22(1): 55-64.

WANG Hai-jun, WANG Jing, MA Shi-hua, DU Li-jing. Decision-Making for Emergency Materials Dynamic Dispatching Based on Fuzzy Demand and Supply[J]. Chinese Journal of Management Science, 2014, 22(1): 55-64.

参考文献

[1] 祁明亮, 池宏, 赵红, 等. 突发公共事件应急管理研究现状与展望[J].管理评论, 2006, 18(04): 35-44.
[2] 何建敏, 刘春林, 尤海燕.应急系统多出救点的选择问题[J].系统工程理论与实践, 2001, (11): 89-93.
[3] 刘春林, 何建敏, 施建军.一类应急物资调度的优化模型研究[J].中国管理科学, 2001, (03):28-36.
[4] 刘春林, 何建敏, 盛昭瀚. 应急系统多出救点选择问题的模糊规划方法[J]. 管理工程学报, 1999, (04):23-24.
[5] 刘春林, 何建敏, 盛昭瀚. 应急系统调度问题的模糊规划方法[J].系统工程学报.1999, 14(04):352-365.
[6] Knott R. The logistics of bulk relief supplies[J]. Disasters 1987, 11(2):113-115.
[7] Ray J. A multi-period linear programming model for optimally scheduling the distribution of food aid in WestAfrica[D]. Knoxville, TN: University of Tennessee, 1987.
[8] Rathi A K, Solanki R S, Church R L. Allocating resources to support a multicommodity flow with timewindows[J]. Logistics and Transportation Review, 1992, 28(2):167-88.
[9] Brown G G, Vassiliou A L. Optimizing disaster relief: Real-time operational and tactical decision support[J]. Naval Research Logistics (NRL), 1993, 40(1):1-23.
[10] Fiedrich F, Gehbauer F, Rickers U. Optimized resource allocation for emergency response after earthquake disasters[J]. Safety Science, 2000, 35(1/3):41-57.
[11] Vitoriano B, Ortuño M, Tirado G, et al. A multi-criteria optimization model for humanitarian aid distribution[J]. Journal of Global Optimization, 2011, 51(2):189-208.
[12] Sheu J. An emergency logistics distribution approach for quick response to urgent relief demand indisasters[J]. Transportation Research Part E: Logistics and Transportation Review Challenges of Emergency Logistics Management, 2007, 43(6):687-709.
[13] Tzeng G, Cheng H, Huang TD. Multi-objective optimal planning for designing relief deliverysystems[J]. Transportation Research Part E: Logistics and Transportation Review, 2007, 43(6): 673-686.
[14] 唐伟勤, 陈荣秋, 赵曼, 等.大规模突发事件快速消费品的应急调度[J].科研管理, 2010, 31(2):121-125.
[15] Hwang H. A food distribution model for faminerelief[J]. Computers and Industrial Engineering, 1999, 37(1-2): 335-338.
[16] Balcik B, Beamon B M, Smilowitz K. Last mile distribution in humanitarian relief[J].Journal of Intelligent Transportation Systems: Technology Planning, and Operations, 2008, 12(2):51-63.
[17] Barbarosoglu G, Özdamar L, Cevik A. An interactive approach for hierarchical analysis of helicopter logistics in disaster reliefoperations[J].European Journal of Operational Research, 2002, 140(1):118-133.
[18] Özdamar L, Ekinci E, Küçükyazici B. Emergencylogistics planning in natural disasters[J]. Annals of Operations Research, 2004, 129(1-4):217-245.
[19] 曾敏刚, 崔增收, 余高辉.基于应急物流的减灾系统LRP研究[J].中国管理科学, 2010, 18(2): 75-80.
[20] Yuan Yuan, Wang Dingwei. Path selection model and algorithm for emergency logistics management[J]. Computers and Industry Engineering, 2009, 56(3):1081-1094.
[21] Jotshi A, Gong Q, Batta R. Dispatching and routing of emergency vehicles in disaster mitigation using data fusion[J]. Socio-Economic Planning Sciences 2009, 43(1):1-24.
[22] 唐伟勤, 张敏, 张隐. 大规模突发事件应急物资调度的过程模型[J]. 中国安全科学学报, 2009, 19(1):33-37.
[23] Liang T F. Distribution planning decisions using interactive fuzzy multi-objective linearprogramming[J]. Fuzzy Sets and Systems, 2006, 157(10): 1303-1316.
[24] Lushu Li, Lai KK.A fuzzy approach to the multiobjective transportation problem[J]. Computers & Operations Research, 2000, 27(1): 43-57.