Research On Project Network Plan Management Method For Complex Equipment Manufacturing

With the rapid development of market globalization,the equipment manufacturing industry,which is an important cornerstone of the national economy,is facing increasing global competition.The fierce market competition environment requires equipment manufacturing companies to develop lean and agile.As a typical project-based manufacturing product,complex equipment products have the characteristics of a long production cycle,complicated manufacturing processes,and a high degree of customization.They are usually organized in accordance with the Engineering to Order(ETO)model.The complex product structure and production organization process make the production plan management of enterprises more difficult,and traditional plan management methods are difficult to apply to the actual production of complex equipment manufacturing enterprises.Therefore,in order to improve the enterprise’s planning management level,this research conducts an in-depth study on the network planning management method of complex equipment manufacturing projects,which mainly includes three aspects of research content:(1)Constructed a project network planning model for complex equipment manufacturing.First,systematically analyze the production management mode and product structure characteristics of complex equipment manufacturing enterprises,introduce project network planning into traditional production planning management,and propose project-oriented complex equipment products from the two dimensions of project network planning and project network planning execution.Manufacturing planning management system.Secondly,in view of the difference in parameter requirements of different planning dimensions,a planning parameter model is constructed and a parameter mapping method is proposed to realize the information flow between the planning levels.Finally,a project network planning model based on the quantity standard is proposed.The network planning method is used to abstract the project manufacturing process into a network planning model,which intuitively describes the product assembly relationship and parameter information,and provides a data basis and theoretical model for the formulation of the project network plan.(2)Proposed a method to formulate a network plan for critical chain projects considering process relevance.The Critical Chain Project Management(CCPM)theory is integrated into the formulation of the project network plan,and the critical chain in the project network plan model is identified by setting priority rules and using heuristic algorithms.Secondly,in order to reduce the impact of uncertainty in the production process on the plan,a buffer calculation method considering the correlation parameters,network complexity,and resource tension is proposed.Finally,the critical chain is used as the main basis for plan formulation,and the critical chain is dynamically updated to generate the project network plan.The example verification results show that the proposed method can maintain a relatively stable buffer consumption ratio during the execution of the plan,and improve the accuracy and enforceability of the project network plan.(3)Explore the monitoring method of project network plan progress based on buffer management.Based on the formulation of the project network plan,the project is divided into several stages according to the stage characteristics of the production organization process of complex equipment products,the sensitivity indicators in the schedule risk analysis are introduced,and the buffer allocation is carried out from the two dimensions of the project level and the process level.,And dynamically scroll the remaining amount of the stage buffer.Secondly,based on the buffer volume after rolling,the monitoring reference point is dynamically set,and the monitoring strategy of the yellow area is refined through the sensitivity index threshold value,and the deviation is corrected in time when the project progress is abnormal,and the project is completed on schedule.The example verification results show that the proposed method effectively reduces the occurrence of false warnings,can provide a more balanced control granularity for actual complex equipment manufacturing projects,and guide project network plan managers to adopt effective control strategies in a timely manner.