Automation Aspects of PAT Installation w/ Case Study Pete Miilu, Pfizer Marc Surprenant, Pfizer Intro/Background Automation and Control Strategy: • Levels of Automation • Process Monitoring • • Instrument monitors the process to determine when the end point is met Monitoring and Analysis of data • Process Control • • Instrument monitors and adjusts the process based on results Full implementation of PAT • Ultimate Goal is Real Time Release • Integration with Distributed Control System • Communication • • • Hardwired Input / Output Serial Ethernet (OPC) • Recipe Management • Data Retention Data Strategy Several aspects to consider: • Who are the users? • Operators for process control decisions • Require go/no-go decision [bytes] • Require limited data & trending [KB] • Engineers for process improvement • Require results data [KB] • Require trending capabilities [MB] • Lab personnel for instrument maintenance and calibration • Require raw and spectral data [GB] • Require trending capabilities [MB] • Data retention • Different for each type of data? • Important for long-term supportability when dealing with frequent samples of high-data-volume assays • Limited retention for raw data can be justified using calibration and maintenance procedures which meet requirements for demonstrating instrument performance Case Study Background Operational Setting: • Batch Solvent Recovery Distillation Process • Recovered solvent quality verified with manual sampling and analysis using process lab • In process lab analysis results obtained in one to two hours • During lab analysis distillate is directed to a “slop” tank until quality is verified • Manual sampling does not allow distillate collection at the time it meets specification Case Study Background PAT Solution: • Continuous sampling and analysis required • Achieved by implementing an on-line gas chromatograph on the distillate stream • On-line GC capable of collecting and reporting composition of the distillate every four to eight minutes (near real time) GMP Classification of System • Direct vs. Indirect vs. No Impact • • • Case Study • • • Classified as an Indirect Impact system because the system is not used to demonstrate compliance with any registered parameters or attributes Downstream direct impact systems ensure compliance with registered parameters Benefits of Indirect Impact Classification • • • Ultimately this decision is based on the way that Operations intends to use the information produced by the system CQA provides standard tools for determining classification Allows commissioning-only approach to testing Lower project & long-term support costs Opportunity costs • If/when the business finds that the system is capable of replacing the registered downstream assays, then a system qualification must be performed, in addition to a process validation. Ta – Da! The Final Incarnation Implementation • Qualified: • Direct Impact System’s Critical Components: • • • Product contact – piping and pump Analytical Instrument Critical software functions • • • • • PC Hardware Data Historian Interface Challenges • • • • • • • Methods of Analysis Commissioned only: • • • DCS Interface DCS Recipe Control Vendor Software critical functions Breadth of team’s background and experience with C&Q Agreeing on System/Component Impact Assessments Assigning ownership of support responsibilities OPC & network security Assigning ownership of components during project Operations’ learning curve Learnings • • • • • C&Q is valuable, but requires up-front planning Investment in vendor training for instrument is a must Once the project is complete – the work begins OPC is a valuable technology platform for data exchange Leave a backup control strategy!! DCS to Instrument Integration Lab Specialist: Manually Calibrate the GC (at instrument HMI or at Workstation) DCS: Start sample supply pump DCS: Check GC Communication and Alarm Status AlarmStatus & ComState Good? Yes DCS: Disable all GC Streams (Synchronous write) DCS: Enable GC Stream for Analysis (Synchronous write) No Operations: Notify Lab Specialist and/or acknowledge DCS prompt to “Continue with manual GC?” Operations: Start DCS recipe DCS: Start the GC (Synchronous write) GC: Begin sampling and analysis GC: Calculate Results and set Sample Time DCS: Monitor GC and Compare to Recipe Parameters DCS: Does result meet spec? Yes Operator: Confirm DCS prompt “Switch to product cut?” No DCS: Set the GC to HOLD State (Synchronuos Write) Epilogue • Experiencing issues with calibration drift – instrument/analytical support are working to resolve • Relying on both PAT and backup control strategy • Expect fully operational and reliable system by EOY2008