Research On Optimal Decision-Making In Leagile Humanitarian Logistics

In recent years,the social and economic losses caused by natural disasters in China were in the forefront of the world and constantly refreshed the record.In the process of disaster relief,logistics cost accounts for 80% disaster relief cost.How to deliver the limited resource to victims in the limited time,relief more people and improve its leagility became the research object of scholars and practitioners.It is important to identify the key factors in humanitarian logistics system and build efficient relief plans,which would directly affect the efficiency and effectiveness in the rescue process.Therefore,this paper focuses on two aspects: the structural analysis of the key factors of the system and the optimization allocation model of relief resources.First,related researches and development at home and abroad,lean,agility and leagility and research methods in humanitarian logistics were arranged and summarized.The humanitarian logistics was introduced from various perspectives,such as concepts,participants,and operation patterns.Based on the multi-stages in humanitarian relief,a decoupling model with respect to time dimension for leagile humanitarian logistics is established.Secondly,based on Interpretation structure model,the key factors of leagile humanitarian logistics were identified and analyzed.Then a hierarchical structure of leagile humanitarian logistics was built.The results show that coordination is the intersection of leanness and agility in humanitarian logistics,which should be highlighted in all stages of disaster relief operation.Finally,according to the system framework of leagile humanitarian logistics,humanitarian logistics operation to lean and agile as the objective function,a bioobjective model was established based on leanness and agility with the consideration of uncertain conditions.In the model,a scenario modeling method was used to simulate the uncertainty of the disaster situation.Then an improved differential evolution algorithm was proposed to solve the optimization model.The effectiveness and feasibility of the model and algorithm was proved by a numerical example of Longmenshan Fault Zone.The results showed that the model could effectively model the complex situations of relief.The proposed algorithm was effective in the computation time and the quality of the solution.It could provide corresponding decision basis for managers to allocate relief resources.