| China's pharmaceutical logistics industry is in the stage of rapid development.Pharmaceutical logistics enterprises play a prominent role in the coordination of transportation among pharmaceutical manufacturers,distribution centers,distribution channels and customer medical sites.Pharmaceutical logistics enterprises in addition to the pursuit of economic benefits,but also the pursuit of high efficiency,high service level,in the pharmaceutical logistics distribution services of traditional Chinese medicine with more attention paid to the path planning optimization processes,reasonable planning scheme can reduce the distribution cost of pharmaceutical logistics enterprises and service level,is conducive to the development of medical logistics industry and pharmaceutical industry chain.In this paper,the pharmaceutical logistics industry is studied.According to the current situation of medical reform in China and the plan of promoting the adjustment of transportation structure,the urban green distribution action in the logistics industry is studied,and the mathematical model of multi-fuzzy time window path optimization is constructed by combining the carbon emission trading mechanism and the distribution time requirements of pharmaceutical logistics customers.The research content of this paper mainly includes:(1)aiming at the components of the vehicle path in the logistics distribution of medical consumables,this paper analyzes the carbon emission cost and the fuzzy time window,and constructs a mathematical model aiming at the lowest transportation cost and the highest customer satisfaction.(2)to study the essential difference between multi-objective optimization problem and single-objective optimization,and to analyze the solution method for the target problem.(3)programming in Python language,solving the model with non-dominant sorting genetic algorithm,and comparing and analyzing it with the common method of dividing the region and nearby priority distribution through simulation experiments.(4)make full use of computing resources and improve algorithm efficiency by using cloud services and parallel computing.By establishing a multi-objective model and solving the optimal solution set of Pareto,more effective schemes can be provided for the decision makers of logistics enterprises,who can choose the schemes with different optimization preferences according to their own interests and requirements.In addition,the comparison and experiment between the common proximity-first path planning method and the calculation method proposed in this paper are carried out through a calculation example,which verifies the reliability and effectiveness of the mathematical model and the algorithm implemented in this paper.The algorithum proposed in this paper conforms to the economic benefits of enterprises,considers the satisfaction of hospitals and communities with distribution services,guarantees the delivery service quality of distribution centers,and also meets the requirements of low-carbon environmental protection and sustainable development.The model takes environmental protection and timeliness into consideration,which is conducive to meeting customer requirements and the economic benefits of logistics enterprises. |
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