Life Science Data-Driven Process Control Course: Statistical Process Control (SPC) Tools for Quality, Stability, and Performance (ONLINE EVENT: July 13th - July 14th, 2026)

The main market opportunities lie in training life science professionals on Statistical Process Control to meet regulatory demands for continuous process monitoring. This supports compliance, product quality, and operational performance, addressing the needs of manufacturers to adapt to evolving industry standards.


Dublin, April 14, 2026 (GLOBE NEWSWIRE) -- The "Data-Driven Process Control: Statistical Process Control (SPC) Tools for Quality, Stability, and Performance (July 13th - July 14th, 2026)" training has been added to ResearchAndMarkets.com's offering.

Modern regulators increasingly expect manufacturers to demonstrate that processes remain in a continuous state of control throughout the full product lifecycle - not only during initial validation.

Authorities such as the United States Food and Drug Administration, the European Medicines Agency, the Medicines and Healthcare products Regulatory Agency, and the World Health Organization now place strong emphasis on effective monitoring, trending, and proactive management of manufacturing processes.

This two-day training course is designed for life science professionals who need to apply Statistical Process Control confidently, even if they do not have a statistics background. All concepts are taught from first principles using clear explanations, visual interpretation, and step-by-step manufacturing examples.

The course links Statistical Process Control to continued and ongoing process verification expectations and aligns learning with international guidance and standards including:

  • The United States Food and Drug Administration Process Validation Guidance (Stage 3: Continued Process Verification)
  • European Union Good Manufacturing Practice Annex 15 requirements for ongoing monitoring and trend review
  • International Council for Harmonisation guideline on Pharmaceutical Quality Systems (Product Quality Monitoring System expectations)
  • World Health Organization expectations for quality monitoring and performance control
  • International standard for medical device manufacturing quality management systems, including process monitoring and critical-to-quality trending

Delegates will learn how to create and interpret control charts, detect meaningful process shifts, distinguish normal variation from abnormal variation, and build a structured governance system that supports inspection readiness and continual improvement.

Every session includes interactive learning activities designed around inspection-style scenarios. This ensures delegates understand not only the tools, but also how to build evidence that can confidently answer inspector questions such as:

  • How do you know your process remains in control?
  • Where is your trend review evidence?
  • What triggers an investigation and how is this documented?

By the end of the course, delegates will be equipped to apply Statistical Process Control as both a compliance tool and a continuous improvement tool, supporting stronger product quality assurance and improved operational performance.

Who Should Attend:

This course is ideal for professionals involved in manufacturing, quality oversight, process monitoring, validation, or regulatory compliance across pharma, biologics, sterile manufacturing, and medical devices, including:

  • Pharmaceutical manufacturing and operations: process engineers, production managers, supervisors
  • Medical device manufacturing teams: ISO 13485 roles responsible for CTQ (Critical-To-Quality) monitoring, capability, and validation maintenance
  • Quality assurance/quality control: QA specialists, QC analysts, data reviewers
  • Validation and technical operations: Continued Process Verification (CPV) owners, validation managers, tech transfer leads
  • Regulatory/compliance: Risk Assessment (RA) and compliance professionals

No statistics knowledge required - all concepts are taught with practical visuals and guided interpretation.

Key Topics Covered:

Day 1

  • Regulatory foundations for SPC
  • SPC fundamentals in manufacturing processes
  • Process capability and practical statistical interpretation
  • Governance of continued process verification and data review

Day 2

  • Implementing SPC in Production
  • Modern monitoring tools for process control
  • Current challenges and industry trends
  • Workshop: applying SPC to real cases

CPD Hours: 12

Speakers

Paul Palmer

Paul R Palmer is a Director / Pharmaceutical Consultantanda practicing EU / UK Qualified Person.Hehas over 35 years experience in the pharmaceutical industry in the development, manufacture and supply of medicinal products and medical devices.

Throughout his career, Paul has intentionally taken on all opportunities as they arose in order to develop a broad range of knowledge with an in-depth detailed understanding of manufacturing, storage, distribution, research, computerised systems, as well as the facilities and services to support each.

People and systems have always been a core focus, how to ensure best use, optimise and enhance efficiency. He has a level of curiosity rarely displayed in people taking on the qualified person role in pharmaceutical manufacturing. Culture, behaviour and psychology are all significant influences on the systems and processes we implement, but are often ignored.

Paul studied psychology as part of his MSc in 1993 and has always enjoyed observing the world around him with a curiosity that is rarely satisfied.

For more information about this training visit https://www.researchandmarkets.com/r/xtrvke

About ResearchAndMarkets.com
ResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

 

Contact Data

GlobeNewswire

Recommended Reading