Optimized scheduling of printing&dyeing production process considering dyeing machine clean
At present,the workshop schedule of the printing and dyeing enterprises still relies on manual experience and software assistance to complete,rather than establishing mathematical models to describe the production process and solve it,which is very time-consuming.Also the production efficiency of the workshop schedule is low,and it cannot even meet the due date of orders.This paper proposes a mathematical model for optimizing the scheduling of printing and dyeing production processes,including dyeing machine cleaning.The model adopts continuous time modeling to establish constraints on product processing,processes,equipment,and delivery time,with the objective function of maximizing order delivery time.No matter how many orders there are,how many production lines there are in the printing and dyeing production process,and how many production equipment there are in the same production stage,this model can meet the requirements of printing and dyeing production process scheduling,but the size of the data file and the complexity of the model solution are different.In case study,taking 5 orders,equipment,and a production line of a printing and dyeing enterprise as a case,get orders,equipment,and process data from the information system of printing&dyeing enterprise to form a data file,describe the mathematical model using ILOG CPLEX OPL language,CPLEX is used to solve the OPL model obtain workshop schedule,The research results indicate that the workshop schedule meets the due dates of the 5 orders,and the dyeing machine was only cleaned once.The solving time of the model is in seconds,which greatly improves the accuracy and efficiency of the printing and dyeing workshop scheduling.
printing&dyeingoptimized scheduling of production processILOGdyeing ma-chine
NETL
NSTL
万方数据
