在PLM的发展过程中，根据国内外PLM厂商的发展动向，以及对PLM关键技术的研究，PLM在未来几年将围绕以下几个重要的方向发展：
PLM未来发展方向一：可定制化的解决方案；
PLM未来发展方向二：高效多层次协同应用；
PLM未来发展方向三：多周期产品数据管理；
PLM未来发展方向四：知识共享与重用管理；
PLM未来发展方向五：数字化仿真普及应用；
这些重要的发展方向将决定PLM的整个市场普及推广，并给PLM带来前所未有的应用高潮。今天来了解一下PLM在多周期产品数据管理方向的发展趋势。
多周期产品数据管理
PLM产品是从PDM产品发展起来的，在企业的应用已经从研发部门延伸到企业的各个部门，对于同一份系统中的数据，根据企业的划分标准不同，会有多个生命周期，例如对一个文档对象，根据不同的标准，可能会参与两个生命周期的变化： 业务生命周期：需求、设计、审批、工艺、制造、售后等；
数据生命周期：工作阶段、审批阶段、归档阶段；因此多周期的数据管理是PLM系统发展应用的趋势，同一份数据同时存在于5个生命周期线上，需要保证不同生命周期的不同阶段的有效管理。目前主流的PLM厂商都有自己的产品生命周期管理解决方案，但是还没有多周期产品数据管理，单周期的数据管理对于项目型的应用比较适合，因为项目本身就包含了一次性的特点，而产品的管理是重复迭代，周而复始，需要更加复杂的周期管理。
翻译：
What are the future trends of PLM?
In the development process of PLM, according to the development trend of PLM manufacturers at home and abroad, as well as the research on PLM key technologies, PLM will develop around the following important directions in the next few years: digital transformation network szhzxw.cn
Future development direction of PLM 1: Customizable solutions;
PLM future development direction 2: Efficient multi-level collaborative application; Digital transformation network szhzxw.cn
PLM future development direction 3: multi-cycle product data management;
PLM future development direction 4: Knowledge sharing and reuse management;
PLM future development direction five: digital simulation popularization and application;
These important developments will determine the overall market adoption of PLM and bring about an unprecedented upsurge in PLM adoption. Today, take a look at the trends in PLM’s multi-cycle product data management direction. Digital transformation network szhzxw.cn
Multi-cycle product data management
PLM products are developed from PDM products, and the application in enterprises has been extended from the R & D department to all departments of the enterprise. For the data in the same system, there will be multiple life cycles according to different standards of the enterprise. For example, a document object may participate in two life cycle changes according to different standards: business life cycle: Demand, design, approval, process, manufacturing, after-sales, etc.;
Data life cycle: working stage, approval stage, archiving stage; Therefore, multi-cycle data management is the trend of PLM system development and application, the same data exists in 5 life cycle lines at the same time, and it is necessary to ensure the effective management of different stages of different life cycles. At present, the mainstream PLM manufacturers have their own product lifecycle management solutions, but there is no multi-cycle product data management. Single-cycle data management is more suitable for project-type applications, because the project itself contains one-time characteristics, and product management is repeated iteration and cycle, requiring more complex cycle management. Digital transformation network szhzxw.cn
