Research On Optimization Of Pharmaceutical Logistics Distribution Problem Based On Time Window

The pharmaceutical industry is an important part of the national economy and an important area related to national security.In recent years,driven by the market economy and national policies,China’s pharmaceutical industry has developed rapidly,and pharmaceutical logistics companies have ushered in huge opportunities.However,China’s pharmaceutical logistics is still in its growth stage.There are still problems such as backward technology,incomplete management systems,and incomplete policies,regulations and standardization systems.These problems also directly lead to high operating costs for pharmaceutical logistics companies in China and safe drug distribution no guarantee,etc.In this context,it is urgent to develop an efficient and high-quality pharmaceutical logistics system.Studying the optimization of pharmaceutical logistics distribution problem can not only effectively reduce the distribution cost of pharmaceutical companies and improve customer satisfaction,but also promote the construction of pharmaceutical logistics in China and ensure the safety of national drugs.This article focuses on the distribution route problem,and combines the actual characteristics of drug distribution to model and solve.The article firstly elaborates on the current situation of medical logistics and vehicle routing problems at home and abroad,and lists general algorithms for vehicle routing problems.Secondly,it analyzes the concept and characteristics of pharmaceutical logistics,compares pharmaceutical logistics with general commodity logistics,and elaborates the strictness of cold chain logistics,highlighting the speciality of pharmaceutical logistics in storage and transportation.Then,based on the distribution characteristics of ordinary medicines and the distribution characteristics of refrigerated medicines,this paper establishes pharmaceutical logistics distribution models with time windows.When arranging vehicle routes,the distribution cost of ordinary medicines only considers fixed costs and transportation costs,while the distribution costs of cold chain medicines need to consider not only fixed costs and transportation costs,but also energy consumption costs.The time window considered in the general drug distribution model is a hard time window,and only the goal of cost is considered.When distributing cold-chain medicines,the quality of the medicines ismore important,and quality is time-dependent.Therefore,the time window considered in the logistics distribution model of cold-chain medicines is a unilateral hard time window.In order to make the problem more specific,this article uses blood as a case to explain the problem.When solving the model,this article takes the blood quality as the first goal of optimization and the distribution cost as the second goal.In order to facilitate the solution,the dual objective function is converted into a single objective function by transforming the quality function,and two weight coefficients are introduced to represent the importance of both goals.Finally,this paper designs a genetic algorithm to verify the two models with examples.Before performing specific verification,the optimal population size and maximum number of iterations of the genetic algorithm are determined through experiments.After setting all the parameters,we obtain the optimal solutions of the two models.