An integrated multi-objective production scheduling model considering the production quality state

The production quality state is the specific embodiment of the implementation effect of the production tasks, which comprehensively characterizes the machining precision of the raw materials in each manufacturing process. Therefore, the production quality state of the manufacturing process has a decisive impact on the reliability of the finished product. However, there are few studies on multi-objective job-shop optimization scheduling that take the production quality state as a constraint. In this paper, a method of deviation flow model to quantify the quality state of the manufacturing process is proposed firstly. Then, a multi-objective production scheduling model considering the production quality state, the makespan time and the performance state of manufacturing equipment is proposed. Thirdly, a scheduling decision on workstation based on heuristic algorithm is introduced. Finally, the model is verified by a case study of a car engine production task scheduling optimization.