Manage data & decisions Streamline operations and manage the reality of complex products, advanced technology and extensive supply chains. People across you

AI Technology:

Product Descriptions

Flexibility in product development centralize engineering data and eliminate silos of information. share information downstream to purchasing, manufacturing, and service departments for a truly connected enterprise. product lifecycle management (plm) software help systems engineers take control of data and processes and visualize the impact of decisions across domains and departments. explore the teamcenter features adaptable plm foundation a choice of flexible deployment options for business-wide collaboration and disruption response bill of materials management easy management, configuration and automatic syncing of accurate engineering bom and manufacturing bom information, no matter how complex change management & workflow efficient management of changing plm processes, from people-task coordination to quality-issues response document management & publishing support for accurate, complex, effective, and profitable product documentation aligned with product changes electrical design management automated validation of the manufacturing readiness of printed circuit board (pcb) and electrical wire harness designs manufacturing data & process management a single source of product and process knowledge and best-practices for continuous improvement of operations mechanical design management a single management environment for mechanical computer-aided design (mcad) data and tools model-based systems engineering a critical plm component for considering multi-domain product development in terms of cost, reliability, and manufacturability

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Maya HTT

Maya HTT has been working hand-in-hand with some of the world’s largest engineering and manufacturing companies on their journey towards digitization where AI and ML are playing an increasingly critical role: from product conceptual studies, to design optimization, to predictive engineering and maintenance analysis, automation, real-time data acquisition and analytics, to production planning and commissioning, and finally to turn resulting operational data into new businesses.

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