Data classification and library management to improve asset utilization
Data Classification and Library Management
Data Classification and Library Management
¿Por qué es importante la clasificación de datos y la gestión de bibliotecas de PLM? La mayoría de nuevas ofertas de productos y de programas de mejora continua, si no todos, incluyen un gran número de elementos de diseño que ya se han utilizado en productos anteriores. Generalmente, estos elementos reutilizables constituyen la gran mayoría del nuevo contenido de diseño de la oferta. Por consiguiente, la capacidad de ubicar rápidamente los datos para la reutilización puede influir positivamente en el proceso de desarrollo de los productos y puede resultar clave para lograr los objetivos de tiempo de lanzamiento al mercado e innovación del producto. Las funciones de clasificación de datos y de gestión de bibliotecas del software de Teamcenter permiten a la empresa gestionar los datos de la definición del producto creados previamente en bibliotecas digitales y reutilizar estos datos en nuevas iniciativas de producto o programas de mejora continua. Con Teamcenter, puede construir jerarquías, clases y atributos en las definiciones de clasificación para que los ingenieros de diseño puedan encontrar rápidamente los elementos de diseño para su reutilización. Los ingenieros de fabricación también pueden utilizar estas funciones para evaluar las piezas alternativas y de sustitución antes de finalizar sus diseños.
Data classification and library management helps you to quickly get to the data you need. Read more about these features below.
AI for Classification
Artificial intelligence (AI) for classification drives a culture of reuse across the organization. The system automatically suggests how objects should be classified, what property values should be and more. Leveraging the latest technologies, the AI engine looks at input from many sources and provides accurate predictions. With flexible configuration, you decide the level of confidence required before a prediction is made. With AI for classification, you can make the mundane task of classifying data easier and more accurate.
Classify and re-use data intuitively
With Teamcenter, you have the ability to re-use data in new product initiatives and continuous improvement programs to increase productivity and reduce rework. Re-use of data helps you to increase productivity. By enabling you to manage previously designed, validated, and approved product and tool definition data, Teamcenter classification capabilities can help you re-use date to expedite product development, reduce its cost, and build design intent and lessons learned into your new product initiatives. Teamcenter PLM data classification improves time-to-market and lowers product development costs through ease of use and powerful search to optimize your re-use thought.
Library management used with classification
With Library Management capabilities in Teamcenter, you can further enhance your classification strategy to help you be more productive and get to data you need, faster. You can create multiple libraries as per your business requirements, and configure your libraries based on technical and business constraints. Teamcenter also provides flexibility in setting up your library hierarchy, allowing you to organize business content into individual library nodes. Each library element can be managed as separate objects (parts, tools, materials, etc.). Membership rules provide a rule based approach to populate your libraries.
Teamcenter for eCl@ss Data Management
The eCl@ss standard is used for capturing data and classification definitions for the product in entirety. The standard ensures same data semantics with a standardized format with unambiguous terminology for data exchange of product information throughout the extended enterprise. Import the eCl@ss hierarchy and class definitions into Teamcenter, store and manage the eCl@ss taxonomy, author, import, and export classification data into the eCl@ss hierarchy, and administer your custom taxonomy using eCl@ss artifacts (e.g. properties, aspects, etc.) for creating and modifying your custom classification hierarchies.
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