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Seminar on Quality by Design using Design of Experiments (QbD)

 
  December 01, 2016  
     
 
NetZealous DBA as GlobalCompliancePanel, Courtyard Seattle Sea-Tac Area,16038 West Valley Highway Tukwila Washington 98188 USA
02-02-2017


Overview:

This seminar focuses on how to establish a systematic approach to pharmaceutical development that is defined by Quality-by-Design (QbD) principles using design of experiments (DOE). In addition, this course teaches the application of statistics for setting specifications, assessing measurement systems (assays), developing a control plan as part of a risk management strategy, and ensuring process control/capability. All concepts are taught within the product quality system framework defined by requirements in regulatory guidance documents.

Using a QbD approach for pharmaceutical development studies should include a systematic understanding of the process and using this understanding to establish a control strategy as part of a comprehensive quality risk management program.

Why should you attend:

As stated in Q8, the ICH guidance document on pharmaceutical development, drug product should meet its intended product performance as well as meet the needs of patients. Although the strategy for pharmaceutical development may vary from company-to-company and/or from product-to-product, a systematic approach defined by quality by design (QbD) principles is encouraged.

Further guidance and policies have been provided to explain how the QbD approach should be integrated into the pharmaceutical quality system including process design, qualification, continued process verification, risk management, and validation. Although guidance on implementation of these requirements is prevalent, many companies have not yet implemented QbD into their quality systems; regulatory agencies have made it clear this will change. In fact, the chemistry, manufacturing, and controls (CMC) reviewers in the Office of Pharmaceutical Science (OPS) released a manual on policies and procedures (MAPP) explaining how reviewers will begin to enforce the requirements from these guidance documents. Additionally, the Director of the Center for Drug Evaluation and Research (CDER) at the FDA (May 2014) co-authored a paper in The American Association of Pharmaceutical Scientists detailing the concept and reiterating the importance of using a QbD approach to pharmaceutical development. This seminar will demonstrate how to integrate those QbD principles into a pharmaceutical quality system.

Areas Covered in the Session:

  • implement QbD principles from discovery through product discontinuation
  • apply statistics to set specifications and validate measurement systems (assays)
  • utilize risk management tools to identify and prioritize potential critical process parameters
  • identify critical process parameters and develop a functional relationship between those process parameters and your critical-to-quality attributes (CQAs)
  • establish your design space
  • develop a control plan as part of a risk management strategy
  • ensure your process is in (statistical) control and capable.

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

Agenda:

Day 1 Schedule

Lecture 1:

Introduction to Quality by Design (QbD)

  • Quality by Design (QbD) principles
  • Product Quality System framework

Primer on Statistical Analysis

  • basic statistics

Lecture 2:

Primer on Statistical Analysis (cont.)

  • hypothesis testing

Lecture 3:

Primer on Statistical Analysis (cont.)

  • ANOVA

Lecture 4:

Primer on Statistical Analysis (cont.)

  • Regression

Day 2 Schedule

Lecture 1:

Foundational Requirements for QbD Studies

  • setting specifications
  • Measurement Systems Analysis (MSA) for assays

Introduction to Design of Experiments (DOE)

  • steps to DOE
  • defining critical-to-quality attributes (CQAs)
  • identifying and prioritizing potential process parameters

Screening Designs - Identifying Critical Process Parameters

  • factorial designs

Lecture 2:

Screening Designs - Identifying Critical Process Parameters (cont.)

  • fractional factorial designs
  • D optimal

Lecture 3:

Response Surface Designs - Develop Functional Relationships and Establish Design Space

  • Addition of center points
  • Central Composite Designs (CCD)
  • I optimal designs

Lecture 4:

Utilizing Systematic Understanding from QbD Studies

  • presenting results
  • developing a control plan as part of a risk management strategy
  • process control and capability

Location: Seattle, WA Date: February 2nd & 3rd, 2017 and Time: 9:00 AM to 6:00 PM

 

Venue: Courtyard Seattle Sea-Tac Area

Address: 16038 West Valley Highway Tukwila Washington 98188 USA

 

Price:

 

Price: $1,295.00 (Seminar Fee for One Delegate – Without Stay)

 

Until January 5, Early Bird Price: $1,295.00 from January 6 to January 31, Regular Price: $1,495.00

 

Register for 5 attendees   Price: $3,885.00      $6,475.00 You Save: $2,590.00 (40%)*

 
 
Organized by: NetZealous LLC - GlobalCompliancePanel
Invited Speakers:

Heath Rushing,

Co-founder and Principal, Adsurgo

Heath Rushing is the cofounder of Adsurgo LLC and co-author of the book Design and Analysis of Experiments by Douglas Montgomery: A Supplement for using JMP. Previously, he was the JMP and Six Sigma training manager at SAS. He led a team of nine technical professionals designing and delivering applied statistics and quality continuing education courses. He created tailored courses, applications, and long-term training plans in quality and statistics across a variety of industries to include biotech, pharmaceutical, medical device, and chemical processing. Mr. Rushing has been an invited speaker on applicability of statistics for national and international conferences. As a Quality Engineer at Amgen, he championed statistical principles in every business unit. He designed and delivered a DOE course that immediately became the company standard required at multiple sites. Additionally, he developed and implemented numerous innovative statistical methods advancing corporate risk management, process capability, and validation acceptance criteria. He won the top teaching award out of 54 instructors in the Air Force Academy math department where he taught several semesters and sections of OR and statistics. Additionally, he taught Operations Research and simulation modeling at the Colorado School of Mines and designs and delivers short courses in statistics, data mining, and simulation modeling for SAS.

 
Deadline for Abstracts: 31/01/2017
 
Registration:

NetZealous DBA as GlobalCompliancePanel

 

Phone: 1-800-447-9407

Fax: 302-288-6884

Email: support@globalcompliancepanel.com

Registration Link -http://www.globalcompliancepanel.com/control/globalseminars/~product_id=900800SEMINAR 

E-mail: support@globalcompliancepanel.com
 
   
 
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