Analysis of the hottest research and development d

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Analysis of research and development data management method based on PLM

Abstract: Generally speaking, when research and development data management is just implemented through PLM, for online processes, user price comparison is easy to rebound, which is normal. As long as the configuration of it process comes from business needs, the experience of system operation is fully considered, and the running in period is slowly guided. After users are familiar with the new operating environment and cultivate new working habits, this contradiction will naturally resolve

the application of Internet in domestic industrial field is in the ascendant. Many industrial enterprises hope to use the latest Internet technology to serve enterprises and improve their efficiency and market competitiveness. Industrial interconnection (also known as enterprise informatization) covers the entire circular industrial chain of industrial products. At present, more and more enterprises, especially industrial enterprises, are in enterprise 3 More and more attention is paid to the informatization investment in the R & D end of graphene industry, which is almost accompanied by the fact that many enterprises have been alert to the importance of their own R & D since the economic crisis in 2008, which shows that everyone is paying attention to the most valuable part of the whole industrial chain. However, it is easy to cause waves of enthusiasm and even advocacy when dealing with the attack of emerging objects. If the enterprise itself is not ready and rushes to the battle, it may result in a multiplier effect. The construction of industrial informatization is a systematic project, which cannot be completed overnight. It must be based on a thorough understanding of the actual situation, overall planning, and then precise step-by-step implementation to produce the desired effect. The industry in which the enterprise is located has its own characteristics and demands. Industrial interconnection itself is also an industry, and it also has its own formats and characteristics. To implement a specific informatization project well, I can introduce some common problems below. We must grasp the characteristics of the two fields, integrate each other's demands, and establish a sustainable foundation, so that it is easier to achieve a win-win situation

1 important characteristics of R & D data

R & D data is an important part of product data. Its integrity and correctness will affect the quality and efficiency of the whole life cycle of a new product. Grasping the main characteristics of R & D data is the key premise for the success of R & D data management

1.1 the source of R & D data

the source of R & D data is mainly reflected in its important impact on downstream process, generation and manufacturing, quality, and even cost. Therefore, in the whole product development stage, many important reviews need the participation of process, manufacturing, quality, and cost, so as to control and reduce downstream problems and impacts from the source. When problems arise in the downstream, it is often easy to trace back to the research and development start

1.2 relevance of R & D data

from the perspective of data flow, the R & D process mainly reflects the formation of different forms of BOMs at different stages. From EBOM in the early stage of R & D, pbom in the middle stage, and MBOM in the later stage, BOM is the core of the whole R & D data flow. The basic component unit of BOM is material, which mainly comes from design data, which leads to the association between material and design data, and design data is basically divided into 3D data and 2D data, which leads to the association between 3D and 2D. In this way, the three-dimensional association data of design BOM is formed one by one. This characteristic of R & D data determines that the changes of subsequent data must also be linked to ensure the accurate determination of data

1.3 consistency of R & D data

the most important consistency of R & D data is the consistency of 3D and 2D data. At present, most domestic enterprises still adopt the product development mode of dual design data sources, that is, 3D design, 2D according to 3D, and 2D is used to guide process, production, quality management, etc. At present, although there have been some signs of the application of MBD (model-based definition) product development methods, it is not the mainstream after all. The product development mode of dual design data sources must require all links, and 3D and 2D must be consistent, otherwise the design intent will not be completely and correctly transmitted to the process and production, resulting in incalculable consequences

2 typical characteristics of PLM

plm is product lifecycle management system. From the perspective of implementation and application practice, it has three important characteristics. Grasping these important characteristics will be of great help to our implementation of R & D data management

2.1 PLM platform

at present, PLM of mainstream manufacturers in the world has developed into a software platform for product development. It cannot play a role in itself, and it must rely on good implementation to produce results. The selection of platform is very important and is a basic step. The final landing effect is mainly determined by the work of people, which depends on the overall business ability of the implementation team

2.2 strong correlation between PLM and R & d

the design of many basic rules of the core module in PLM is actually determined according to the general R & D business laws of many enterprises, such as the source, relevance and consistency of R & D data, which have a real experience in the management of PLM. Although the module system of PLM has developed and changed again, its core application is still reflected in the management of R & D business, and its position in the informatization of R & D management is difficult to be replaced

2.3 PLM integration

the third is integration, which is mainly reflected in the integration of input and output. Input integration mainly refers to the integration with CAD and office. Mainstream PLM provides more mature solutions. The integration of output mainly refers to the integration with ERP, which is implemented in a variety of ways. At present, the low-cost, simple and feasible way starts through secondary development, and connects the R & D platform and the production and manufacturing platform through the "intermediate table"

3 R & D data management method

3.1 implementation plan

PLM carries the current relatively advanced enterprise management ideas. At the same time, it is also a multi module product system, and its implementation cannot be achieved quickly. In order to maximize the management efficiency of an enterprise, we should follow the strategy of overall planning and gradual implementation. The application of PLM to the management of enterprise R & D data should be subject to the overall PLM implementation plan of the enterprise

for enterprises, PLM phase I should focus on platform import and R & D data management. Only by laying a good foundation and grasping the current key points can we ensure the implementation effect of the first phase. The introduction of a new platform will inevitably involve the change of users' working habits after the launch, which is an important bottleneck that distinguishes the first phase project from the subsequent planning projects. In order to break in this bottleneck, the implementation scope of the first phase should not be too large. According to years of project practice, the business scope of the first phase is mainly in the R & D part, which is a better choice

another focus of the implementation plan is the timing of the connection between phase I and phase II. The best time to start the phase II project should be after the application maturity of the implementation content of the phase I project has been fully verified. Generally speaking, basic principled problems cannot be left, and the project team of Party A should organize a comprehensive evaluation

3.2 data management with BOM as the core

organizing research and development data management with BOM as the core should be the best main line, because BOM runs through product research and development. The rules of BOM management should be comprehensively evaluated from many aspects, such as material code, BOM structure, process, connection of different forms, exchange between Nanjing University doctoral group and Guangya scientific researchers in ECN and PL, and the integration of M and ERP. Drawings, technical documents and other R & D data or direct or indirect materials are associated. If you grasp the BOM, you will grasp all the BOM corresponding to the product, and if you grasp the material, you will grasp all the other data associated with it

The most basic rule of BOM management is the design of material code. Some enterprises are dominated by manufacturing business, while others are dominated by R & D business. For enterprises that implement ERP first and then PLM, it is easy to be the first case. At first, it has disadvantages, which will be exposed when enterprises implement PLM in the future. A more reasonable idea should be to first consider the business needs of R & D, while taking into account the needs of manufacturing business and related IT systems (PLM, ERP, etc.). For the materials related to a graph, we should pay special attention to how to deal with the problem of how to deal with one graph and how to correspond to multiple materials

Another important aspect of BOM management is the generation method of BOM structure. Enterprises often consider these two ways in implementing PLM. The first is to use the pre-designed excel template to import and generate BOM structure, that is, by entering the basic information of BOM into the template and then importing it into PLM system to automatically generate BOM. The second is to use the 3D digital prototype to drive and generate the BOM structure, because the 3D digital prototype itself has the BOM structure. Using the 3D BOM structure to drive the BOM structure of the associated materials has significantly improved the efficiency. The defect of the second method is that the 3D BOM structure may only be considered from the perspective of design. In order to make the BOM generated by this method effective, the requirements of process and manufacturing on the original design BOM must be integrated at the design end to ensure the smooth conversion between subsequent EBOM and pbom

3.4 R & D data process configuration

for the management of R & D data, the process configuration comes from the needs of R & D business. The rigor and efficiency brought by too many process configurations and the working habits of users may be contradictory. In the first phase of PLM implementation, the configuration of R & D data process should not be too detailed. It is recommended to grasp the key and necessary processes. After going online, we must fully consider the actual user's operation experience, so that this part of the process can run in the actual project. Through the online operation of the actual project, the feedback of users is concentrated for adjustment and optimization, until users generally use it smoothly, and the process is naturally solidified

generally speaking, when R & D data management is just implemented through PLM, what preparations should be made before the installation of adhesive stripping force testing machine? Jinan new era Gold Testing Instrument Co., Ltd. today provides you with the correct method: wait, for online processes, user price comparison is easy to rebound, which is normal. As long as the configuration of it process comes from business needs, the experience of system operation is fully considered, and the running in period is slowly guided. After users are familiar with the new operating environment and cultivate new working habits, this contradiction will naturally resolve

3.5 rights management of R & D data

R & D data is the most important knowledge wealth of a technology enterprise, and it is also the top priority of enterprise security management. After PLM is imported to realize centralized control of R & D data, if there is no strict authority control measures, its security risk is increased. This is the same reason that the current Internet generally brings convenience to people's lives, while the risk of personal information leakage increases. Permission control methods are basically divided into physical control and logical control. For the outside of the enterprise, PLM adopts the method of physical isolation, and external personnel cannot access the internal servers of the enterprise. For internal enterprises, logical control is generally adopted, that is, the logical authority of personnel with PLM accounts is subdivided

plm's management of product data inherits the idea of project system, that is, each project data is stored independently in a space. First, only team members of the project can access the data of the project, and the entry of team members is fully controlled by project management. This is the first level of permission control to ensure that only items

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