Applied Statistics for FDA Process Validation
In-Person Event
May 17 - 18, 2018
Philadelphia, Pennsylvania, USASpeakers
OVERVIEW
Applied Statistics for FDA Process Validation is organized by GlobalCompliancePanel and will be held during May 17 - 18, 2018 at DoubleTree by Hilton Hotel Philadelphia Airport, Philadelphia, Pennsylvania, United States of America. This CME Conference has been approved for a maximum of 12 Credits.
Who Will Benefit:
This seminar is designed for pharmaceutical and biopharmaceutical professionals who are involved with product and/or process design, validation, or manufacturing/control.
• 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
Why you Should Attend:
The Food and Drug Administration (FDA) provided a guidance for industry in 2011 that has established a framework for process validation in the pharmaceutical industry. This guidance, titled "Process Validation: General Principles and Practices" consists of a three-stage process. The three stages are 1) Process Design, 2) Process Qualification, and 3) Continued Process Verification.
This course focuses on how to establish a systematic approach to implementing statistical methodologies into a process development and validation program consistent with the FDA guidance. This course teaches the application of statistics for setting specifications, assessing measurement systems (assays), using design of experiments (DOE), developing a control plan as part of a risk management strategy, and ensuring process control/capability. All concepts are taught within the three-stage product cycle framework defined by requirements in the process validation regulatory guidance documents.
Although established for the pharmaceutical industry, it also provides a useful framework for other industries.
Analyses in this course use the point-and-click interface of JMP software by SAS.
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."
Who Will Benefit:
This seminar is designed for pharmaceutical and biopharmaceutical professionals who are involved with product and/or process design, validation, or manufacturing/control.
• 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
Why you Should Attend:
The Food and Drug Administration (FDA) provided a guidance for industry in 2011 that has established a framework for process validation in the pharmaceutical industry. This guidance, titled "Process Validation: General Principles and Practices" consists of a three-stage process. The three stages are 1) Process Design, 2) Process Qualification, and 3) Continued Process Verification.
This course focuses on how to establish a systematic approach to implementing statistical methodologies into a process development and validation program consistent with the FDA guidance. This course teaches the application of statistics for setting specifications, assessing measurement systems (assays), using design of experiments (DOE), developing a control plan as part of a risk management strategy, and ensuring process control/capability. All concepts are taught within the three-stage product cycle framework defined by requirements in the process validation regulatory guidance documents.
Although established for the pharmaceutical industry, it also provides a useful framework for other industries.
Analyses in this course use the point-and-click interface of JMP software by SAS.
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."
KEY DATES
17 May, 2018
Event Start Date
18 May, 2018
Event End Date
SPECIALITIES
Pharmacy and MedicineSUGGESTED HOTELS
CONFERENCE VENUE
DoubleTree by Hilton Hotel Philadelphia AirportRELATED CONFERENCES & LIVE WEBINARS
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