Harnessing complementary product and process models to support change processes in product lifecycle activities for extended PLM solutions

利用互补数据结构支持产品生命周期活动中的更改流程扩展PLM解决方案一家公司的创新能力与其有效管理产品演变或更改的能力直接相关。复杂产品的整个生命周期中的变化会产生追溯信息流，这对于有效的协作是最重要的。从科学的角度来看，这些仍然没有得到很好的理解，目前仅得到经验做法和方法的支持。该研究方案旨在发现互补的数据结构，以正式支持跨产品生命周期活动(如设计、制造和服务)的产品变更引发的追溯过程。这项研究的创新之处在于研究互补的产品数据结构，如特征、物料清单、公差、工艺计划和制造分散，以有效地管理PLM系统中的多方向信息流。简单地说，PLM是关于集成为产品生命周期的不同阶段(CAD、CAM、PDM、FEA、工作流管理等)开发的各种数据管理软件。在一个全面的一揽子计划中，旨在改善数字企业环境中合作伙伴、客户和供应商之间的信息和数据共享。在这项研究工作中需要验证的主要假设是，只有互补的数据结构，而不是统一的数据结构，才能有效地支持产品生命周期中的多方向信息流动，从而支持高级PLM解决方案。

HARNESSING COMPLEMENTARY DATA STRUCTURES TO SUPPORT CHANGE PROCESSES IN PRODUCT LIFECYCLE ACTIVITIES FOR EXTENDED PLM SOLUTIONSThe capacity of a company to innovate is directly related to its capacity to efficiently manage product evolutions or changes. Changes throughout the life of a complex product generate retroactive flows of information, which are most important for effective collaboration. These are still not well understood from a scientific point of view and are currently only supported by empirical practices and methodologies. This research proposal aims at discovering complementary data structures to formally support retroactive processes induced by product change across product lifecycle activities such as design, manufacturing and in service. The originality of this research lies in the study of complementary product data structures such as features, bill of materials, tolerances, process plans and manufacturing dispersions to effectively manage multidirectional flows of information within a PLM system. In simple terms, PLM is about integrating the various data management software developed for the different stages of the life of a product (CAD, CAM, PDM, FEA, Workflow management, etc.) in a comprehensive package destined to improve the information and data share between partners, clients and suppliers in a digital enterprise environment. The main hypothesis to be validated in this research work is that only complementary, rather than unified, data structures can effectively support multidirectional flows of information in the product lifecycle and thus advanced PLM solutions.