Process Development and Validation rest on the right Design of Experiments and Statistical Process Control

Design of Experiments and Statistical Process Control1.jpg

The application of DOE and SPC to the development, design and monitoring of manufacturing and testing requires the use of procedures. Why? It is because in a recent guidance document on Process Validation, the FDA has named the Quality Unit as being responsible in the review and interpretation of DOE and SPC studies.

The Quality Unit needs to take a practical orientation when it sets out doing this work. An approach in which case studies and examples are sprinkled goes a long way in helping Process Validation professionals in their work. This is exactly what a seminar from GlobalCompliancePanel, a leading provider of professional trainings for the regulatory compliance areas, will offer and help regulatory professionals in the Quality Control and Quality Assurance areas achieve their aims.

The Director of this two-day seminar is Dr. Steven Kuwahara, who Founder and Principal, GXP BioTechnology LLC. Want to understand ways by which to adapt the right approach to applying DoE and SPC to the development, design and monitoring of manufacturing and testing? Then, please register for this very useful session by logging on to Process Development and Validation rest on the right Design of Experiments and Statistical Process Control . This seminar has been pre-approved by RAPS as eligible for up to 12 credits towards a participant’s RAC recertification upon full completion.

Completely interactive

Design of Experiments and Statistical Process Control2

Dr. Kuwahara will do full justice to the role and importance of practical experiments in aiding an understanding of Design of Experiments. Theoretical information will be given only when it is needed to help gain an understanding of an experiment. At this highly interactive and practical session, Dr. Kuwahara will offer examples from real processes and testing procedures. He will intersperse these with examples that will be directly applicable to the areas of work that relate to the participants of this seminar.

An understanding of the way the process parameters relate to and work with each other is necessary for any pharmaceutical worker who is involved in performing, supervising or reviewing manufacturing or testing processes. The ability to monitor the performance of processes and test methods is also needed for such a worker. While this is true for a professional in any department of pharmaceuticals; it applies more to the worker who works in Quality Control and Quality Assurance, a requirement that has become necessary following the passage of recent FDA guidance document on Process Validation.

However, it is the development, manufacturing, or quality systems worker who carries out this work. In view of this fact, a high degree of coordination is needed between these two levels of employees. At this seminar, Dr. Kuwahara will arm these two levels of employees with the knowledge of the ways of designing the systems and studies, and then interpreting the results generated.

Design of Experiments and Statistical Process Control4

Dr. Kuwahara has charted out the following agenda for this seminar:

Dietary Design of Experiments

  • Introduction
  • One Level, One Factor Designs. Simple Comparisons
  • Two-Level Multi-Factorial Design
  • Extracting Information from the Experiment

Statistical Process Control

Design of Experiments and Statistical Process Control

This seminar is designed for the benefit of professionals involved in the procedures and applications of DOE and SPC, such as Directors, Managers, Supervisors, Lead workers in Process Development, Manufacturing, Regulatory Affairs, Quality Assurance and Quality Control, and workers who participate in operations or the are involved in the supervision of the development, manufacturing, or testing of medicinal products.

To join us for more information, get in touch

Data visualization can have a great effect on statistical presentations

Data visualization 2

It is said that a picture is worth a thousand words. This adage may appear figurative and allegorical when applied to the realm of statistics, but there is no denying the fact that a visual approach to statistics enlivens the subject like no other. A dash of pictorial work and some coloring at the right places enhance the presentation of otherwise drab statistical figures and slides dramatically.

Graphic displays illustrate the facts and truths behind statistics very artistically. They augment the appeal of what is conveyed by the statistical figures without altering or diluting the effect or the content. This is why presenting data visually is a great enhancer. It is very useful in any compliance analytics workflow.

Graphic enhancements can be used to uplift and raise the presentational aspects of statistics, but it requires skill and specific tools, because the pictorial aspect has to fit rightly into the statistical presentations. Any mismatch or mix-ups can have the opposite effect, making the statistical pictures gaudy, out of place and jarring.

Get to the ways of doing it

Data visualization 5

A two-day seminar from GlobalCompliancePanel, a highly respected provider of professional trainings for the regulatory areas, will offer thorough and complete learning on the proper ways of beautifying statistical presentations with the right mix of graphics, so that the intended purpose of embellishing is met.

James Wisnowski, who 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 and currently provides training and consulting services to industry and government in Design of Experiments (DOE), Reliability Engineering, Data Visualization, Predictive Analytics, and Text Mining; will be the Director at this two-day seminar.

Please visit Data visualization can have a great effect on statistical presentations  to enroll for this highly interesting seminar, which has been pre-approved by RAPS as eligible for up to 12 credits towards a participant’s RAC recertification upon full completion.

All about graphics in statistics

Data visualization 4

This seminar on data visualization will present methods using which participants can interactively discover relationships graphically. James will offer participants the foundations that will help them create better graphical information with which to accelerate the insight discovery process and improve the comprehension of reported results.

He will lead participants to an exploration of the first principles and the “human as part of the system” aspects of information visualization from multiple leading sources such as Harvard Business Review, Edward Tufte, and Stephen Few. All this will be done using representative example data sets. Best practices for graphical excellence to most effectively, clearly, and efficiently communicate a thought will be explained. He will show how to construct visualizations for univariate, multivariate, time-dependent, and geographical data. Participants are encouraged to bring laptops to follow along demonstrations in JMP (free trial download at www.jmp.com), and open source solutions such as R (https://www.r-project.org) and Tableau Public (https://public.tableau.com/s/).

Meeting the requirements of analytic solutions

Data visualization 3

As all regulated industries have now come to expect data-driven decisions; compliance regulations require analytic solutions. The starting point of these solutions is the development of data visualization for discovering relationships and finish with crisp graphs communicating results. To take the example of 21 CFR and guidance documents for the pharmaceutical, biopharmaceutical, and medical device industries; these documents specify the application of statistical methods for the following:

For each of these areas, data visualization serves as the foundation. Data visualization plays a major role in varying degrees in varied areas such as:

  • meeting FDA analytical requirements for third-tier critical to quality attributes for analytical bio similarity evaluations where graphical plots and tables alone may sufficiently address compliance criteria

 

  • HIPAA compliance, risk management and analysis, and many others of the quality functions.

James will show how to use data visualization and optimize the effect of these areas. The following agendas will be part of the two-day presentation:

  • Introduction and definitions
  • Examples of data visualizations for compliance and regulated industries
  • Historical context
  • Characteristics of data
  • Interactive data visualization exploration with Excel and websites
  • Human side of data visualization
  • Principles of good graphic design
  • Data visualization methodology
  • Best practices
  • Software introduction: JMP
  • Univariate plots
  • Distributions and histograms
  • Pie graphs, violin plots, pareto plots, box plots
  • Conditional formatting
  • Mulitvariate plots and heatmaps
  • Correlation
  • Multivariate scatterplots and density graphs
  • Contour plots
  • Categorical data plots: treemaps, mosaic plots
  • Software introduction: R
  • Software introduction: Tableau Public
  • Univariate plots with R and Tableau
  • Multivariate plots with R and Tableau
  • Dynamic and interactive graphs
  • Brushing, dynamic linking, and filtering
  • Profilers on response variables and optimization
  • Time series plots
  • Waterfall plots
  • Sparklines and trend lines
  • Statistical Process Control charts
  • Maps
  • Text data visualization
  • Dashboards
  • Course summary.