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GlobalCompliancePanel
GlobalCompliancePanel Seminar 2012
GlobalCompliancePanel Seminar 2012
GlobalCompliancePanel Seminar 2012
GlobalCompliancePanel Seminar 2012
GlobalCompliancePanel Seminar 2012
GlobalCompliancePanel Seminar 2012
GlobalCompliancePanel Seminar 2012
GlobalCompliancePanel Seminar 2012
GlobalCompliancePanel Seminar 2012

Pack of SEVEN: Best Selling Webinars by GlobalCompliancePanel

Global CompliancePanel
Global CompliancePanel
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Instructor : Dan OLeary
Product Id : 30129PACK

Overview: This course provides the attendees with the tools needed to understand and implement acceptance sampling.

We explain the basis for sampling plans, the binomial distribution, and show how it helps us understand the sampling plan’s performance using the operating characteristic (OC) curve. Participants will gain a solid understanding of how the OC curve is built, how to use it, and how to identify some of the most important points on the curve, including the AQL and RQL points.

The course also provides complete descriptions of three other important curves that help you understand a sampling plan. The average sample number (ASN) helps you predict the number of samples you will take. The average outgoing quality (AOQ) helps you foresee the results if you inspect rejected lots. The average total inspected (ATI) helps you calculate how many items you will inspect including rejected lots. Users of Z1.4 will want to understand how to set up sampling and select parameters such as AQL and Level. The course provides a complete description of Z1.4, showing the process from receiving the lot to selecting the sample size to making the accept/reject decision. We will discuss the following issues:
  • How to use the sampling tables to determine the sampling plan
  • Ways to avoid common errors and misunderstandings with the sampling tables
  • The difference between single, double, and multiple sampling plans
  • Why double sampling plans are the most economical choice
  • The reasons for the switching rules between normal, reduced, and tightened
  • The use of the switching rules to help improve your supplier management program
  • How the switching rules can help you reduce inspection cost
The c=0 plans are very popular, since they are based on the notion that everything in the sample should pass inspection. The course examines these plans using the curves described above. The OC curve, in these plans, has a different shape that can lead to problems. We will discuss the following issues:
  • How to use the c=0 plans instead of Z1.4 plans
  • The basis for the plans using the RQL point
  • The differences in the OC curves and why they can cause problems
  • How a change from Z1.4 to c=0 can impact your inventory and disrupt your suppliers
Why should you attend: Imagine this! Your company uses acceptance sampling in your manufacturing process and your manager asked to make sure it is cost effective. She also knows there is some risk associated with sampling, but she admits she doesn’t completely understand it. You now have a new assignment; assure your manager that you have good balance between risk and cost. The person who set up the system retired a few years ago and isn’t available to help. You have also heard about some new methods called c=0 or zero based acceptance.
  • How do you know how much your inspection system costs?
  • Are you inspecting too much, and wasting money?
  • Are you inspecting too little and incurring risk?
  • Do your current managers and supervisors understand how the system works?
  • Will your ISO 9001 registrar ask for justification of these statistical methods?
  • Should you start to use these c=0 plans you have heard about?
  • Can you improve the process?





Instructor : Dan OLeary
Product Id : 30129PACK

Overview: The FDA QSR requires device manufacturers to validate processes when the manufacturer cannot "fully verify the output".

The manufacturer must validate these processes with a "high degree of assurance". The presentation explores the statistical underpinnings of these two phrases. To "fully verify the output" relates to the use of statistical sampling plans, while "high degree of precision" relates to process capability. The presentation illustrates the statistical concepts. The Global Harmonization Guidance document on process validation shows the application of statistical techniques. In particular, the guidance explains the use of design experiments (DOE) to establish process parameters and develop challenge points for the Operational Qualification (OQ) phase. The guidance explains the concepts of process capability showing the relationship between the process statistical characterization and the engineering specification transferred from design. Statistical Process Control (SPC) is an important technique in the Performance Qualification (PQ) phase of validation. The presentation concludes by showing the strong relationship between validated processes and Risk Management. ISO 14971:2007 requires that production (and post-production) information go back to Risk Assessment to help complete the life cycle. Validated processes, where the manufacturer cannot fully verify the output, present a risk of product “escape”. Statistical information of each lot from a validated process should be part of the Risk Management File.

Why you should attend:
If you conduct process validation, you need to ensure that your results are valid. Beyond the regulatory requirements, statistical approaches will help you achieve the desired result - processes that produce only conforming material. This is the essence of the statistical approach. This webinar presents the statistical approach that will help you validate your processes. Your team should attend this webinar if you cannot easily answer these questions.
  • Can you give the statistical rational for you verification sampling plans?
  • Can you state the desired and actual process capability you need to achieve?
  • Can you list the worst-case input parameter combination for your process?
  • Do you know how to determine challenge points for your process?
  • Have you set action limits for your process inputs?
Areas Covered In the Seminar:
  • QMS Requirements for Process Validation
    • FDA’s QSR (21 CFR §820.75)
    • ISO 13485:2003
  • The Statistical Process Model
    • Relating input to output
  • The Process Output
    • Sampling Inspection
    • Process Capability
  • The Process Input Parameters
    • Design of Experiments
    • The Challenge Points
  • Risk Management
    • Production Information
    • Validated Processes as High Risk
Who will benefit: People in the following roles can especially benefit from the knowledge in this webinar:
  • Quality Managers
  • Quality Engineers
  • Production Managers
  • Production Supervisors
  • Manufacturing Engineers
  • Production Engineers
  • Design Engineers
  • Process Owners





Instructor : Jeff Kasoff
Product Id : 30129PACK

Overview: Does the FDA call in advance or just show up at my door? Where do I let the inspector go? Do I give them a tour? What should I let them see? Who should I let them talk to? Are they ever going to leave?

The FDA inspection is the most nerve-wracking event in the life of a regulatory professional - you're in charge of compliance, usually in the background, and NOW you're in the spotlight, and if your performance isn't good, it's not the show that may close, it's YOUR COMPANY! However, adequate planning, training, composure, and understanding should result in many encore presentations! This session will discuss how to prepare for the inspection, what to do during the inspection and the close-out interview, and how to respond to the inspection. Also contained in this session will be the limits of FDA's scope during an inspection, including what documents you are not required to show them, and the permissibility of photographs and affidavits.






Instructor : Kerry Paul Potter
Product Id : 30129PACK

Overview: Whether you work in production or in a laboratory or if you conduct investigations or finalize product release, sound data and information is essential to success and compliance. To ensure success and avoid those frustrating, embarrassing discussions of missing or doubtful data, laboratory employees must follow good documentation practices.

According to the FDA, if it isn't written down, it didn't happen. As well, if it isn’t written down clearly, it didn’t happen either. GMP compliance (21CFR, Part 211) requires the use of good documentation practices. These practices apply to all pharmaceutical manufacturing and support areas. Good Documentation Practices describe the required activities and steps to use when recording data and other handwritten entries. Personnel who work with documentation must be informed of these requirements, recognize their significance to their job and be aware of the consequences of non-compliance. During this 1-hour webinar, we will review the Good Documentation Practices plus demonstrate examples of these practices (both good and bad!) as they apply to the pharmaceutical arena.

Why you should attend: The Learning Objectives of this presentation include:
  • Discover what the regulations say about documentation practices
  • Learn what your signature and/or initials mean on a document
  • See how to correct errors and omissions in data entry
  • Learn "Do's" and "Don'ts" of documentation practices
  • Learn how to attach raw data to records
  • Review rounding and limit expression determinations
Areas Covered in the Session:
  • 21CFR Part 211 and Eudralex references to documentation
  • Correcting errors and omissions
  • Dates and formats
  • Meanings of initials and signatures
  • Use of "NA"
  • Comments and explanations
  • Handling raw data (charts, strips, printouts)
  • Blanks
  • Entering numerical data
Who Will Benefit:
  • Production personnel (operators, supervisors)
  • Laboratory personnel (chemists, technicians, supervisors)
  • Batch record reviewers
  • QA Auditors of Production and Laboratory Documents
  • Validation, Engineering
  • Maintenance personnel (mechanics, supervisors)
  • Warehousing personnel





Instructor : David Nettleton
Product Id : 30129PACK

Overview: This webinar details the regulation and how it applies to computerized systems.

Learn exactly what is needed to be compliant for all three primary areas: SOPs for the IT infrastructure, industry standards for software product features, and the 10-step risk-based validation approach. This webinar demystifies Part 11, and get you on the right track for using electronic records and signatures to greatly increase productivity.






Instructor : Dan OLeary
Product Id : 30129PACK

Overview: This seminar helps you understand the FDA device regulations related to Excel spreadsheets.

These spreadsheets can be automated processes and create electronic records. Both of these aspects are regulated by the FDA, so device manufacturers must understand the regulations and how to apply them.

The seminar begins with Excel methods to help ensure the spreadsheet produces the results you want. We explain the built in Validation tools and how to use them to prevent the user from entering incorrect data. We explain the use of Formula Auditing to help ensure the calculations are performed correctly. Lastly, we explain the use of Protection to prevent inadvertent and unauthorized changes. To satisfy the broadest interest, we use Excel 2003 to illustrate the tools.

The seminar shifts to the regulations for automated processes, found in 21 CFR §820.70(i), and explains the requirements for a validation plan. The FDA Guidance document, General Principles of Software Validation, has a section devoted to this kind of software application. The seminar explains FDA’s thinking and shows how to follow the guidance document.

Lastly, we look at the electronic record aspects of the spreadsheet. 21 CFR §820.180 provides General Requirements for records. Part 11 has additional requirements when these are electronic records. We look at the requirements for electronic records and some of the issues these requirements raise. We also examine the current guidance document on electronic records and explain where FDA will exercise "regulatory discretion" and what that means.

We discuss the following issues:

  • The pitfalls of using Excel without a good regulatory plan
  • How to recognize when you are using software in production or the quality system
  • The use of Excel tools to help ensure spreadsheets are built correctly
  • The FDA’s requirements and expectation for production and quality system software
  • The reason for Part 11 and some of the implications
  • The requirements of Part 11 for electronic records and the current guidance document

Why should you attend: FDA Inspections are based on ensuring compliance with the regulations. Failure to comply can result in the FDA citing the company for a violation, i.e., listing it on an FDA Form 483 Inspectional Observations. The FDA may even escalate these observations to a Warning Letter.

Unfortunately, many well meaning intentions may fail to satisfy the regulations. For example, a manufacturing engineer may recognize that an Excel spreadsheet could reduce the possibility of error in a manual calculation. On its own, the spreadsheet would be a valuable Preventive Action. However if the spreadsheet is not validated, approved, and documented properly it may create a problem during an FDA inspection. An unvalidated spreadsheet violates the QSR requirements for automated processes.

The next easy step is to eliminate the form used in the manual calculation. It would straightforward, as the next step, to reduce the paperwork and just keep the calculations in the spreadsheet. This is potentially an "electronic record", and may violate 21 CFR Part 11.

If manufacturers don't understand the regulations, they could create regulatory problems that are will be hard to fix.






Instructor : Jose Mora
Product Id : 30129PACK

Overview: Design Inputs, Design Outputs, and Traceability matrices present a challenge to almost all industries that apply design controls.

Typically, these cause the creation and maintenance of duplicate information across various documents - a major source of errors. This webinar applies the Theory of Lean Documents and the corresponding Theory of Lean Configuration to avoiding these errors, while presenting a fresh new approach to these key and related documents.

Why you should attend: Do you find yourself constantly struggling to create, manage, and maintain all of the information found in Design Inputs, Design Outputs, and traceability matrices - which is often redundant, repetitive, and chained together in a cumbersome way? Do you find that your design and manufacturing resources are spending way too much time on documentation and not enough on engineering and design?  This webinar presents a fresh new approach based upon solid principles and proven practices - as well as an alternative that avoids many of the pitfalls of traditional ways of preparing these documents.

Areas Covered In the Session:
  • Brief introduction to Lean Documents and Lean Configuration
  • Quality System Regulation, 21 CFR Part 820, and ISO 13485 as these apply to design control documents.
  • Design Inputs - User Requirements Specification; Technical Design Requirements
  • Design Outputs - Specifications, Drawings, Documents
  • Traceability Matrix
  • Applying lean document and lean configuration principles to the above
  • Bringing it all together
Who will benefit:
  • Managers, Supervisors, Directors, and Vice-Presidents in the areas of:
  • R&D
  • Manufacturing Engineering
  • Quality Assurance
  • Operations
  • Document Control


José Mora is a Principal Consultant specializing in Manufacturing Engineering and Quality Systems. For over 29 years he has worked in the medical device industry specializing in manufacturing, process development, tooling, and quality systems. Prior to working full time as a consulting partner for Atzari Consulting, José served as Director of Manufacturing Engineering at Boston Scientific and as Quality Systems Manager at Stryker Orthopedics, where he introduced process performance, problem solving, and quality system methodologies. During that time he prepared a white paper on the application of lean manufacturing methods to the creation and management of controlled documents and a template for strategic deployment. José led the launch of manufacturing at a start-up urology products company as Director of Manufacturing for UroSurge, Inc. at the University of Iowa’s business incubator park in Coralville, IA, creating a world-class medical device manufacturing operation, with JIT, kanban systems, visual workplace and lean manufacturing practices. José worked for 10 years at Cordis Corporation, now a Johnson & Johnson company, where he led the successful tooling, process development and qualification of Cordis’ first PTA (percutaneous transluminal angioplasty) catheter. His medical device experience includes surgical instruments, PTA & PTCA dilatation and guiding catheters, plastic surgery implants and tissue expanders, urology implants and devices for the treatment of incontinence, delivery systems for brachytherapy, orthopaedic implants and instruments, and vascular surgery grafts and textiles. During his time at Cordis, José managed the Maintenance and Facilities Department, taking that operation to a level rated as “tops” by the UK Department of Health and Social Services (DHSS) during one of their intensive audits. Jose managed Manufacturing Engineering as part of the Guiding Catheter Core Team of managers, a team that took the Cordis Guiding Catheter business to lead the market, bringing it up from fourth place. By introducing world-class techniques, the Guiding Catheter design and manufacturing was completely re-engineered for robust design and tooling, under Jose’s leadership. He was also instrumental and played a leadership role in the complete re-engineering of the Tooling Control System, including design drafting, the tool shop and technical support. Wherever he has worked, he has a track record of introducing world-class methodologies such as Kepner-Tregoe, Taguchi techniques, Theory of Constraints, Lean Manufacturing, Five Ss (Visual Workplace), process validation to GHSS standards, and similar approaches..



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