Integrated Optimization for the Production and Distribution Problem in the 3D Printing Industry
In recent years,consumers have put forward higher requirements for product diversification and delivery timeliness.The traditional supply chain model of large enterprises in the way of setting up warehouses is not suitable for customized personalized products.How to respond to customers'personalized needs faster has become an urgent problem to be solved.As a mature and emerging technology,3D printing provides a new solution for the production and distribution of customized products in the supply chain.The integrated scheduling problem of installing an on-board 3D printer was studied.That is the joint decision problem of integrated production and distribution under the mode of"print and deliver".Firstly,considering the batch printing characteristics of 3D printers,the corresponding mathematical model of mixed integer programming was established based on customer access order and product batch division.Secondly,on the basis of verifying the optimal relationship between path access order and batch printing order,genetic algorithm was used to solve the model.Finally,the effectiveness of the algorithm and the advantages of batch printing mode were verified by the data results of several groups of examples,and the influence of the number of customers,distribution radius and printing time on the delivery time was analyzed.The management enlightenment under the"printing while delivering"strategy provides decision support for the practical application of 3D printing synchronous distribution.
3D printingbatch modsynchronous distributionintegrated scheduling
万方数据
维普
