Statistical Process Control (SPC)

Master the essentials of Statistical Process Control (SPC) to analyze, monitor, and improve pharmaceutical research processes effectively.

Functions

OperationsProjectsQualityR&D
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1 day

Program Overview

This program is designed to equip pharmaceutical research professionals with practical tools and techniques to manage and enhance research and quality control processes. Participants will gain skills in summarizing, visualizing, and analyzing data to identify trends, patterns, and process variations. The program focuses on real-world case studies and hands-on exercises, covering essential topics like control charts, CUSUM charts, root cause analysis with Fishbone diagrams, Pareto charts, and regression analysis. The training ensures participants walk away with actionable insights to improve process stability and decision-making.

Features

  • Summarize and visualize pharmaceutical research data for actionable insights
  • Monitor process stability and trends using control charts, including CUSUM.
  • Perform root cause analysis with Fishbone and Pareto charts to prioritize issues.
  • Assess process capability and predict outcomes using regression analysis.

Target audiences

  • Researchers, Analysts, and Scientists in Pharma Research
  • Quality Control (QC) and Quality Assurance (QA) Teams
  • Process Improvement Specialists

Curriculum

  • 7 Sections
  • 21 Lessons
  • 1 Day
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Instructor

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Huksa

Deep-domain, High Precision L&D - delivered directly by Renowned Industry Practitioners
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8 Students
107 Courses

Offered by Huksa, this L&D program is led by elite industry veterans—CXOs and Functional Heads with 25+ years of deep-domain expertise. You have the flexibility to customize the curriculum, select your preferred expert, and align the program to your organization’s specific objectives. Connect with the Huksa team to explore our array of top-tier trainers available for this course!

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