DUBLIN--(BUSINESS WIRE)--The "Applied Statistics for FDA Process Validation" conference has been added to ResearchAndMarkets.com's offering.
In Guidance for Industry Process Validation: General Principle and Practices, process validation is defined as, "...the collection and evaluation of data, from the process design stage through commercial production...". The guidance further delineates the 'process design stage through commercial production' into three distinct stages of the product lifecycle:
Stage 1: Process Design: The commercial manufacturing process is defined during this stage based on knowledge gained through development and scale-up activities.
Stage 2: Process Qualification: During this stage, the process design is evaluated to determine if the process is capable of reproducible commercial manufacturing.
Stage 3: Continued Process Verification: Ongoing assurance is gained during routine production that the process remains in a state of control.
The first stage of process validation is process design. The Process Validation guidance document states; A successful validation program depends on information and knowledge from product and process development. This knowledge and understanding is the basis for establishing an approach to control of a manufacturing process that results in products with desired quality attributes:
Manufactures should:
- Understand the sources of variation
- Detect the presence and degree of variation
- Understand the impact of variation on the process and ultimately on product attributes
- Control the variation in a manner commensurate with the risk it represents to the process and product.
The second stage of process validation is process qualification. Although stage 2 has two elements, this course will focus on recommendations for the second element, PPQ. PPQ "combines the actual facility, utilities, equipment (each now qualified), and the trained personnel with the commercial manufacturing process, control procedures, and components to produce commercial batches."
Additionally, the process validation guidance document that "Each manufacturer should judge whether it has gained sufficient understanding to provide a high degree of assurance in its manufacturing process to justify commercial distribution of the product. Focusing exclusively on qualification efforts without understanding the manufacturing process and associated variations may not lead to adequate assurance of quality.
The third stage of process validation is continued process verification. The process validation guidance document defines the need for this stage: "After establishing and confirming the process, manufacturers must maintain the process in a state of control over the life of the process, even as materials, equipment, production environment, personnel, and manufacturing procedures change."
Manufacturers should use ongoing programs to collect and analyze product and process data to evaluate the state of control of the process. These programs may identify process or product problems or opportunities for process improvements that can be evaluated and implemented through some of the activities described in Stages 1 and 2.
This course focuses on how to establish a systematic approach to implementing statistical methodologies into a process validation program consistent with the FDA guidance. It begins with a primer on statistics, focusing on methods that will be applied in each remaining chapter. Next, it teaches the application of statistics for setting specifications and assessing measurement systems (assays), two foundational requirements for process validation.
Lastly, the course applies statistic through the three stages of process validation defined by requirements in the process validation regulatory guidance documents. Methods taught through all three stages are recommended by regulatory guidance documents; references to the specific citations in the guidance documents are provided.
Who Should Attend
- Process Scientist/Engineer
- Design Engineer
- Product Development Engineer
- Regulatory/Compliance Professional
- Design Controls Engineer
- Six Sigma Green Belt
- Six Sigma Black Belt
- Continuous Improvement Manager
Agenda
Day 1 Schedule
Lecture 1: Introduction to Statistics for Process Validation
- principles of process validation
- stages of process validation
- Primer on Statistical Analysis
- basic statistics
Lecture 2: Primer on Statistical Analysis (cont.)
- statistical intervals and hypothesis testing
Lecture 3: Primer on Statistical Analysis (cont.)
- statistical intervals and hypothesis testing
- ANOVA
Lecture 4: Primer on Statistical Analysis (cont.)
- regression
- run charts
Day 2 Schedule
Lecture 1: Foundational Requirements for Process Validation
- setting specifications
- analytical methodology
- Stage 1 - Process Design
- steps to DOE
- screening designs
Lecture 2: Stage 1 - Process Design
- response surface designs
- establishing a strategy for process qualification
Lecture 3: Stage 2 - Process Qualification
- introduction
- incorporation of large-scale data
- development of PPQ acceptance criteria
- development of sampling plans
Lecture 4: Stage 3 - Continued Process Verification
- statistical process control
- process capability
For more information about this conference visit https://www.researchandmarkets.com/research/mf46qp/2day_course?w=4
