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Management of product and package data in F&B

Engineering Data Management for Consumer Products & Retail

Adopt a multidisciplinary approach to product lifecycle management that leverages integrated requirements management, secure supplier collaboration and a platform that combines all information into a single environment, enabling that enables intelligent management, sharing and synchronization of data across domains and functions.

Adopt a multidisciplinary approach to product lifecycle management that leverages integrated requirements management, secure supplier collaboration and a platform that combines all information into a single environment, enabling that enables intelligent management, sharing and synchronization of data across domains and functions.

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Today’s industries want to better monitor and control the multiple disciplines involved in developing and producing products. One of the key factors is that all information related to a product should be made available using one holistic digital model, including not only formulation and recipe information but all data concerning package design, artwork, production equipment and more, down to the level of individual components.

This implies that data management must be approached on a strategic level, and that the inefficient management of data in isolated silos must stop. The most important benefit of such an approach is the unhindered use of knowledge and information across departments. Instead of sharing insights by means of often outdated files sent by mail, artwork panels showing nutrition facts or similar data can be linked directly to the calculations accounted for by R&D departments.

Siemens offers a multidisciplinary approach to product lifecycle management that leverages integrated requirements management, secure supplier collaboration and a platform that combines all information into a single environment, enabling the intelligent management, sharing and synchronization of data across domains and functions while providing industry-leading performance and scalability.