Location Of Blood Collection Facilities And Blood Collection Planning Based On Robust Optimization Method

In the process of rapid urban development,the demand for blood continues to increase,which puts forward higher requirements for blood collection and supply facilities.How to use scientific methods to build an efficient and stable blood supply network has become the focus of this paper.Blood is a perishable product and can only be collected through voluntary blood donations.Excessive supply of blood will cause a great waste of re sources,and blood shortages often delay precious rescue time in the medical process.Therefore,it is extremely difficult to match blood supply and demand.In the process of blood collection,there is a problem that the blood donation point in the new urban area is far away from the blood center,which leads to high transportation costs,and the blood center mainly bases on historical data and experience when formulating the blood collection schedule.Blood facility planning and blood collection plan formulation are urgently needed Guide to the scientific method.First of all,in view of the growing demand and expanding demand range in the process of urban development,this paper conducts expansion site selection,establishes a multi-stage site selection model for blood centers based on dynamic demands,and introduces a robust scenario-based optimization method to solve the problem.Due to the uncertainty of blood collection volume and blood demand,the model decides the location and capacity of the newly established blood sub-center.The results of the example analysis show that: when the demand is uncertain,using the robust optimization model to solve the blood sub-center location problem can reduce the risk caused by the uncertainty.Secondly,in view of the lack of scientific guidance when blood centers make blood collection plans,this paper studies the annual mobile blood collection plan and staffing arrangement of a blood center in a city under uncertain conditions.Shipping costs to blood centers are minimal.Use the scenario-based robust optimization method to solve the problem of uncertain parameters,blood collection planning in the decision planning cycle,and staffing of each blood collection point.And a set of numerical examples are designed to verify the validity of the model.The purpose of this paper is to meet the clinical blood needs of various medical institutions in a fixed area and ensure the safety of blood use.Efficiently carry out blood collection work,and at the same time allow the public to easily check the daily blood donation locations,and improve the convenience of blood donation.Such models are also widely applicable to other facility layout and siting optimization problems that require long-term planning and whose requirements are difficult to determine.