The Equipment In Batch Production Mode Depends On The Situationmaintenance Strategy Study

With the rapid development of science and technology,production equipment is gradually refined and automated,relying on individuals or small groups to complete the whole process of production mode has become the past.Subsequently,mass production has become the primary choice of most manufacturing enterprises due to its advantages of high efficiency and economy,and has also attracted extensive attention of many scholars.Therefore,this topic takes the large-scale mechanical production equipment widely existing in enterprises as the research object,the mass production mode as the premise of the study,and considers the actual factors such as customer satisfaction,respectively,studies the situational maintenance strategy of single component and multi-component equipment.The main research content is divided into the following three parts:(1)Research on situational maintenance strategy for equipment with single component in mass production mode.Considering that the market environment is paying more and more attention to the delivery time,product quality and enterprise reputation in the process of mass production,the equipment maintenance strategy combined with the three factors is put forward.First,the defect rate function is proposed under the condition that there is a certain functional relationship between product quality and equipment deterioration state.Combining the equipment state after the production of unit cycle with the production time,the selection mode of preventive maintenance and equipment replacement is determined.Secondly,according to the time threshold and preventive maintenance threshold,taking the optimal economic benefit as the decision-making goal,the on-demand maintenance strategy model of single component equipment in mass production mode is established.Finally,for the proposed optimization model,monte Carlo simulation method is combined with the central combination design method in response surface analysis method to solve the model.The validity and reliability of the model are proved by an example.(2)In view of the equipment maintenance decision of mass production enterprises facing orders with different requirements from different customers,a situational maintenance strategy model based on customer satisfaction was proposed.First,the accelerated deterioration process of equipment is characterized by Gamma distribution,and the functional relationship between product quality and equipment failure rate is given.Secondly,combined with the equipment failure rate and maintenance threshold after the end of a single batch production,the maintenance strategy and maintenance method are determined.Thirdly,taking preventive maintenance threshold,quality replacement threshold and mass production size as decision variables,the equipment operating cost model and satisfaction model were constructed respectively,and the total cost model was obtained after summing.Finally,the whale algorithm is used to optimize the model,and the effectiveness of the model is verified by an example,and the sensitivity of each cost parameter in the model is analyzed.(3)To solve the problem of order selection and multi-component equipment maintenance decision when facing multiple orders with different requirements under limited capacity,a multi-component equipment maintenance strategy based on customer satisfaction and a joint optimization model of multi-order mass production are proposed.Firstly,the deterioration trend of each component was described based on proportional risk model,and the health status of each component was represented by virtual age.Secondly,according to the real-time monitoring results and maintenance thresholds after the end of a single batch production,different maintenance methods are determined.Thirdly,with profit maximization as the optimization goal,combined with limited capacity batch problem model and customer satisfaction model,the situational maintenance strategy and multi-order batch production joint optimization model are established.Finally,the simulated annealing algorithm and particle swarm optimization algorithm are used to solve the model,and the validity of the model is verified by an example,which makes the model more realistic,and the sensitivity analysis of the corresponding parameters of the model is carried out.The above three research work is a progressive relationship,which provides a new idea for the equipment maintenance strategy under the mass production mode,which can effectively improve the overall benefit of the enterprise and reduce the cost.