A Multi-objective Stochastic Programming Model for Emergency Logistics Based on Goal Programming
This paper addresses the problem of emergency location-allocation in multi-supplier,multi-affected area, multi-relief and multi-vehicle emergency logistics networks.A multi-objective stochastic programming model,which embeds the chance constraints and scenario planning,is proposed to handle the uncertainty of demand,supply and the availability of path.The optimization focuses on minimizing the expected travel time and the proportion of unmet demands,which represent efficiency and fairness respectively.There are also coverage limits for relief suppliers to cover affected areas.The goal programming approach is proposed to solve the multiobjective problem.In the end,computational results based on objective achievement scale indicate the validity of the model and solution.
emergency logistics multi-objective stochastic programming scenario planning chance constraints goal programming
Sha-lei Zhan Nan Liu
School of Management,Zhejiang University,Hangzhou,310058,China
国际会议
昆明、丽江
英文
640-644
2011-04-15（万方平台首次上网日期，不代表论文的发表时间）