Research On Prediction And Control Method Of Abnormal Events In Discrete Production Workshop

The discrete production workshop is characterized by a multi-variety,small-lot production model.When the production is carried out according to the planning and scheduling control scheme,there are many problems such as information interaction,production exceptions,and resource coordination.The emergence of abnormal events in the production workshop increases the difficulty of workshop control with planning and scheduling as the key,so how to achieve the prediction and control of abnormal events on the discrete production floor is a challenge that needs to be solved by enterprises in production.In this paper,the actual needs of the discrete production process are addressed.A systematic study of the production workshop abnormal event prediction and control method is undertaken by establishing a production plant abnormal events prediction model and designing a practical planning and scheduling control method to provide an effective way to achieve intelligent control of the production process.The specific research content is as follows.(1)Building an abnormal events prediction and control mechanism for discrete production workshops.Based on the classification of abnormal events on the production floor,the control process and problems of traditional abnormal events are analysed.By integrating digital twin technology,forecasting methods and planning and scheduling control methods,the digital twin-based production workshop abnormal events forecasting and control mechanism is built from two stages:pre-production and in-production.The main components of the operational mechanism are described,and a detailed abnormal events prediction and planning and scheduling control process is established to solve the problems of incomplete control mechanism,insufficient dynamic response capability and poor timeliness of the production workshop.(2)Research on Grey-Markov based production workshop abnormal events prediction method.A grey prediction model for abnormal events on the production floor is established,the grey prediction results are divided into states,and the corresponding Markov prediction model is established to correct the grey prediction results,so as to realise Grey-Markov based abnormal events prediction on the production floor and provide real-time information for the planning and scheduling system.(3)Develop a workshop planning and scheduling control model with abnormal events prediction on the production floor.The shop floor planning and scheduling control problem is analysed.A planning and scheduling control model with the objective of minimising the maximum completion time and the total delay time is proposed.In order to solve the multi-objective scheduling control model,the NSGA-Ⅱ algorithm is improved,and the main structure of the improved NSGA-Ⅱ-based scheduling control algorithm is designed.Based on this,the AHP-based workshop planning and scheduling control scheme decision method is proposed.(4)Using enterprise A as an example object,the analysis and optimisation of workshop planning and scheduling control are first carried out using ideas from the production workshop abnormal event prediction and control mechanism.The initial planning and scheduling control solution is obtained using algorithmic solutions.Then,based on the workshop equipment failure data,a Grey-Markov prediction model is used to predict the interval between equipment failures.Finally,the equipment failure prediction data is fed back to the planning and scheduling system to obtain the workshop planning and scheduling control scheme under the equipment failure prediction.The workshop can be rescheduled to achieve the prediction and control of abnormal events in the production workshop.