ARTICLES BY MARK F. WITCHER
Using System Risk Structures To Evaluate COVID-19 Pandemic Risks12/15/2021
This article's discussion demonstrates how system risk structures (SRS) can be used to understand complex risks and how SRS might be applied to understand the very complex risk landscape of the COVID-19 pandemic. It includes analysis of risk of personal infection, risk of disease progression or spreading, risk of vaccination, and more.
Principles And Concepts Of System Risk Structures For Understanding & Managing Risks12/6/2021
A truly effective risk analysis method for the biopharma industry should provide insights to and understanding of the fundamental properties and attributes that underlie every type of risk. This article describes how system risk structures (SRS) can be used to understand and manage both simple risk situations as well as complex risk landscapes quickly and efficiently.
FMEA Vs. System Risk Structures (SRS): Which Is More Useful?9/24/2021
In this article, Mark Witcher, Ph.D., discusses the many failure modes of FMEA and risk priority number (RPN), comparing and contrasting it with system risk structures (SRS) and adjusted risk likelihood (RPN). He concludes that one of these is more useful than the other for pharma and medical devices; which one is it?
Using System Risk Structures To Understand And Balance Risk/Benefit Trade-offs4/23/2021
The ICH 31000 guidance defines a risk as the “impact of uncertainty on objectives.” As a follow-up to his article on why we should replace the RPN with the adjusted risk likelihood (ARL), Mark Witcher describes how system risk structures can be used to simultaneously understand and manage both risks and benefits.
Rating Risk Events: Why We Should Replace The Risk Priority Number (RPN) With The Adjusted Risk Likelihood (ARL)4/7/2021
While the RPN primarily represents a risk event’s severity, perhaps a more important attribute to focus on is the risk event’s likelihood of occurrence. In this provocative article, Mark Witcher, Ph.D., proposes an adjusted risk likelihood rating approach that emphasizes a risk event’s likelihood of occurrence.