Production Planning And Scheduling Method Research Based On Information Feedback

Facing the increasingly fierce competition environment,manufacturing companies are eager to enhance their competitiveness byimproving their management level and reducing the production cost.Production planning and scheduling scheme is an important part ofmanufacturing enterprises, and two main problems are founded byanalyzing the current research and practical research: a) In the process ofproduction planning and scheduling, some important parameters arerelatively fixed, and can’t reflect the dynamic status in the actual productionworkshop; b) Multiple objectives and constraints of the actual productionscheduling problem will change as dynamic information of the productionworkshop, and the results always need to be manually adjusted. Throughthe relevant research both at home and abroad, it is found that there havepositive influence for the production by making full use of the dynamicinformation to optimize the existing production workshop productionplanning and scheduling method.This thesis takes a special lubricating oil production industry as theresearch background, and the content can be divided to three parts. Firstly,through analyzing the existing problems, a new production planning andscheduling framework based on the information feedback is established.Secondly, by the high resolution management of dynamic information andStatic historical information, two important production parameters are optimized. Finally, a corresponding scheduling model is established byanalyzing of the characteristics of the enterprise production schedulingproblem. The multi-objective particle swarm optimization (pso) algorithmbased on empirical rule is also be set up, and applied to the actual case,hence a useful way to use the dynamic information of productionworkshop is found by analyzing the computed result.