Continuous Manufacturing

The pharmaceutical industry aims to decrease fluctuations in production, increase yields and to introduce new processes with lower costs and higher performances. Optimized use of production capacities by continuous utilization is another way to improve the process as a whole. Active ingredients are produced in compact, closed units, with a higher degree of automation and fewer manual interventions. The traditional batch production performed sequential steps whereas continuous manufacturing aims to integrate production steps into a continuous process. Modern PAT tools (Process Analytical Technology) allow in addition to recent computer-aided surveillance, control and analysis a noticeable decrease of costs (system utilization about 30 %, production costs: 10 20 %). The PANDA system offers a reliable and flexible platform to perform, to display and to report all data needed.

Process Analytical Technology (PAT) constitutes the technological basis of continuous manufacturing. Online monitoring of ongoing processes was previously impossible. Laboratory tests usually take a lot of time, so optimization of processes was difficult. Recent PAT combined to modern computerized systems like PANDA can close this information gap and make batch processes replaceable by the more efficient continuous manufacturing.



Continuous Manufacturing with PANDA

The data integrating and consolidating analysis system PANDA (Process ANalysis DAtabase) is designed specifically for standard-compliant process validation in pharmaceutical production and supports the continuous manufacturing with its process and quality monitoring.

PANDA is an integrated database system providing information from different source systems like LIMS, MES and ERP. With PANDA raw material, drug substance and batch tree data, as well as development, process and machine data can be structured, linked and aggregated. The system enables you to prove the development of process parameters (data trending) over long periods and offers a wide range of analysis, monitoring and data treatment. This allows a high degree of assurance in the performance of the manufacturing process.