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題名:多周期多品種應急物資配送多目標優化模型
書刊名:中國管理科學
作者:馮春向陽薛坤馮潤森
出版日期:2017
卷期:2017(4)
頁次:124-132
主題關鍵詞:多目標模型效率公平應急物資配送懲罰成本Multi-objective modelEfficiencyFairnessThe distribution of emergency suppliesPunishment cost
原始連結:連回原系統網址new window
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為了兼顧應急物資配送的效率與公平,在考慮應急物資分類與分批配送的基礎上,建立了效率目標與公平目標相結合的多周期應急物資分批配送模型。效率目標計算了規劃周期內所有車輛的運輸成本,公平目標通過各周期懲罰成本最小化實現物資在受災點間的均衡分配。設計了針對多目標優化模型求解Pareto解集的計算方法,通過算例驗證了求解方法的可行性。結果表明:通過觀察Pareto前沿,追求物資的分配公平會增加救援車輛的出車次數和配送批次,考慮運輸成本時車輛會采用集中配送策略。
In emergency management and related fields,it’s still a challenging research subject that how to respond post-disaster emergency requirements quickly to reduce losses of disaster through the efficient emergency logistics system.Based on principle of Humanitarian relief,the distribution and delivery strategies of post-disaster emergency logistics need to ensure both the maximization of the number of benefited victims and equal opportunity for every victim to be rescued.Otherwise,the result of inequity rescues will produce certain social costs.Depending on differences between characteristics of post-disaster supplies,demand can be divided into one-time demand and cyclical demand,which have different requirements for distribution strategies.In this paper,a multicycle and multi-item batch distribution model of emergency supplies is built to combine the efficiency target and the equity target,based on considering classification of emergency materials and uncertainty of supplies,in order to give consideration to both the minimization of emergency materials’ distribution costs and the maximization of the equity target.The efficiency target achieves effective use of relief supplies by minimizing distribution costs which are produced in the material distribution part in the planning cycle;the equity target minimizes social costs which are produced by unsatisfied demands in the planning cycle,for achieving equilibrium assignment of supplies between affected nodes.Besides,two-phase algorithm is designed to solve the Pareto disaggregation of multi-objective optimization model.The first step is the search of feasible path set,according to the vehicle capacity constraints and single-cycle travel time constraints.In the second step,based on the theory ofε-constraint optimization method,multi-objective optimization problem is converted into a series of single-objective optimization problem,and the optimal solution for each single-objective optimization problem is seemed,thereby obtaining the Pareto disaggregation of the model.At last,the rationality of the model and the feasibility of the solution are verified through designing reasonable examples and solving.The results indicate that the cycle distribution strategy to achieve batch distribution can(1)ensure that all affected nodes could receive the first batch of key relief supplies in a short time;(2)reduce social costs arising from allocation inequality and distribution delays;(3)improve the equity of the distribution and allocation of emergency supplies.In addition,calculating the Pareto front for policy-makers can provide a variety of decision-making schemes,and help decision makers intuitively understand the relationship between the efficiency target and the equity target,thereby developing effective distribution strategies according to the specific circumstances.
期刊論文
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3.Holguin-Veras, J.、Pérez, N.、Jaller, M.、Van Wassenhove, L. N.、Aros-Vera, F.(2013)。On the appropriate objective function for post-disaster humanitarian logistics models。Journal of Operations Management,31(5),262-280。  new window
4.Balcik, B.、Beamon, B. M.、Smilowitz, K.(2008)。Last mile distribution in humanitarian relief。Journal of Intelligent Transportation Systems,12(2),51-63。  new window
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9.Wang, Haijun、Du, Lijing、Ma, Shihua(2014)。Multi-objective open location-routing model with split delivery for optimized relief distribution in post-earthquake。Transportation Research Part E: Logistics and Transportation Review,69,160-179。  new window
10.Bozorgi-Amiri, A.、Jabalameli, M. S.、Al-e-Hashem, S. M. J. M.(2013)。A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty。OR spectrum,35(4),905-933。  new window
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12.張煒、王原、何永明(2015)。基於先排序後聚類原則下解決CARP問題的分割演算法。中國管理科學,23(S1),137-142。  延伸查詢new window
13.Coello, C. A. C.(2009)。Evolutionary multi-objective optimization: Some current research trends and topics that remain to be explored。Frontiers of Computer Science in China,3(1),18-30。  new window
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15.Jensen, M. T.(2003)。Reducing the run-time complexity of multi objective EAs: The NSGA-II and other algorithms。IEEE Transactions on Evolutionary Computation,7(5),503-515。  new window
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圖書
1.馮春、張怡(2015)。人道物流:理論與方法。成都:西南交通大學出版社。  延伸查詢new window
2.甘應愛、田豐、李維錚、運籌學教材編寫組(2005)。運籌學。北京:清華大學出版社。  延伸查詢new window
圖書論文
1.Nolz, P. C.、Doerner, K. F.、Gutjahr, W. J.(2010)。A bi-objective meta-heuristic for disaster relief operation planning。Advances in multi-objective nature inspired computing。Berlin Heidelberg:Springer。  new window
 
 
 
 
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