Establishing quality control strategies on the basis of appropriate risk assessments is beneficial to ongoing improvement throughout the biologics lifecycle, as well as communication between single-use component suppliers, end users and regulatory authorities.
Therefore, this research investigated the various relationships between different stakeholders in the machine tools' lifecycle, focusing on knowledge management, communication and the decision-making processes.
Compared with relying on the efforts of various enterprises collaborating on product lifecycle activities, such as coordination, communication and control, the ability to effectively share product information and knowledge is more important.
In this model, each product is equipped with an Intelligent Data Unit that connects to a regional back-end service enabler over the Communication Support Infrastructure (e.g. Internet) for lifecycle data transmission.
This paper proposes an open standards-based service architecture for condition based maintenance that supports interoperability, software component lifecycle management and secure execution and communication of components in a multi-vendor environment.
And it often mirrors the natural lifecycle of the surrounding community.
As far as product data are concerned, data exchange, 3D visualization, and communication are crucial processes for reusing manufacturing intelligence across lifecycle stages.
Principles defined in ICH Q9 are intended to describe development and use of systematic processes for the assessment, control, communication, and review of quality risks, throughout a product's lifecycle (development, manufacturing, and distribution; 2, 3).
An Intelligent Data Unit is a hardware device that consists of sensors, a controller, memory and data communication interface, which can be embedded into the product to acquire the lifecycle data.
