Abstract:  Aiming at the problem that the traditional production scheduling was difficult to deal with the abnormal situation in the workshop in real time, an intelligent scheduling method for machining production considering abnormal factors was proposed. Thinking over the abnormal factors such as order, equipment, quality, etc., the dynamic scheduling rules to deal with the abnormal factors was founded. Considering comprehensively the constraints of production time sequence and processing equipment, and taking the minimum completion time and minimum energy consumption as the optimization goals, the multiobjective optimization model of machining production scheduling was established. The nondominated sorting genetic algorithm with elitist strategy was used to simulate the completion time and energy consumption in the actual production of a heavy machinery product, and the calculation results were obtained. The results show that the intelligent scheduling method considering the abnormal factors can accurately, efficiently and dynamically respond to the abnormal conditions in the actual production, and improve the efficiency of production planning by more than 20%. The above method was used to assist the job shop scheduling personnel to adjust the production plan dynamically in real time, and the needs of the enterprise to make the production plan were met.

Key words:  machining production; production intelligent scheduling; genetic algorithm(GA); abnormal factors

YUAN Meng-yang, YANG Xiao-ying, ZHANG Qi, et al. Intelligent scheduling method for machining production considering abnormal factors［J］.Journal of Mechanical & Electrical Engineering, 2021,38(8):1030-1037.