Optimization Study of Flexible Job Shop Scheduling in Company D
Taking the flexible workshop of Company D as the research object,an optimization model is established with the objectives of minimizing the maximum completion time,minimizing the machine load and minimizing the energy consumption of the machine,and the improved NSGA-Ⅱ algorithm is used to solve the problem,which results in the optimized scheduling plan.Compared with the pre-optimization scheme,the completion time is shortened by 7.68%,the machine load is reduced by 17.7%,and the total energy consumption is reduced by 11.39%,which improves the production efficiency of the enterprise,and it can provide a certain reference for the enterprise to formulate the efficient scheduling scheme.
flexible job shopNSGA-Ⅱ algorithmmulti-objectivescheduling program