Study On Bonded Warehouse Domestic Outbound Scheduling Of S Company Based On Time Window

With the increasing development of economic globalization and trade liberalization,the bonded logistics and international trade have been increasingly connected.In the international trade supply chain,enterprises require more improvement on efficiency and cost control of the bonded logistics.Current domestic research mainly focuses on the macro level,in-depth study of bonded logistics management on the micro level needs to be explored.Analyzing the organizational structure and business background of company S,bonded warehouse domestic outbound business selected as the research object,summarizing the processes and characteristics of domestic outbound business,the problems and causes of domestic outbound business scheduling is presented.On this basis,the problems of domestic outbound business scheduling is abstracted into the resource constrained project scheduling problem,combining the theory of time window,selecting the punishment cost as the core indicator of project scheduling quality.According to the characteristics of resource constraints and process constraints of bonded logistics business,introducing the concepts of decision making units and the resource arrangement order,the scheduling model of bonded warehouse domestic outbound business is built.According to the practical situation of company S,improvement design of genetic algorithm is the crucial part.According to the process sequence and resource usage in bonded logistics business,multi-stage coding is used.In order to solve the problem of iterative fluctuation after selection and mutation,combined strategy and limited neighborhood mutation is put forward.By inversely initializing the population,the initial search range is expanded,solving the problem of falling into local optimal solution.On the basis of the above study,selecting the actual operation scenarios and data of company S,through optimization of project structure and resource arrangement,two optimization schemes are obtained,and the approximate optimal project scheduling plan was obtained through the improved genetic algorithm,the comparison of iteration curves before and after the algorithm optimization was improved also verifies the rationality of model and the algorithm optimization effectiveness.