From a past perspective, System Engineering was able to control the product data accuracy with respect to its requirements and towards product certification and delivery avoiding operational disruptions in the development lifecycle. But we usually do it by increasing the complexity of the product data management and administration what makes heavier the product integration. The trends indicate that the product complexity is intensifying and that the increasing load rate of changes will create serious efficiency disruptions if we persevere with today System Engineering approaches. New System Engineering paradigm is then proposed. It conducts to an innovative management of product identification and business integration. It is supported 4 key pillars: The Semantic Product Identification; The Business Driven Intelligence; The Product Life-Cycle Social Management; The Data Management of Things. It is highlighted the wide range of possibilities that could offer new product data aggregation laws based on correlating semantic context information. The other elements of the new PDM paradigm add an apparatus of synergy, management and lean architecture principles of the solutions. The benefits of a new integrated Systems Engineering will grant: 1) better data continuity and integration across domains, lifecycle & supply chain; 2) intensify data re-use; 3) create easy data access, consistency & transparency; 4) enable flexible interfaces between business processes; 5) Ease traceability of information and processes; and 6) Increase user acceptance on PLM solution approaches.
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