Root Cause Analysis and Incident Investigation
Learn to use the license-fee-free SOURCE™ root cause analysis (RCA) methodology for investigating incidents. This methodology will help you initiate a root cause analysis incident investigation, gather data for investigating all types of incidents, collect data through interviews and parts analyses, apply powerful techniques (timelines, cause and effect trees, Root Cause Map™, and 5-whys) for causal factor and root cause identification. Avoid future incidents by developing appropriate recommendations using our four-level recommendation development guidance to address each of the causal factors and root causes, structure reports for optimum effectiveness, develop your data-trending process to identify systemic problem areas, and more. You’ll walk away with your course notebook, a copy of our Root Cause Analysis Handbook, our Excel and Visio templates, and access to our on-line resources for you and your entire organization – no licensing fees to pay.
Human Error Prevention
During this 2-day course, attendees learn how to examine and categorize specific human errors to identify the conditions and situations that contributed to mistakes. Attendees also discover why most human mistakes are caused by error-likely situations, which typically stem from weaknesses in the policies/practices that influence how organizations select, train, supervise, communicate with, and design workplaces for workers. You will learn how to apply several human performance assessment tools, including error-likely situation checklist analyses, walkthrough analyses, guideword analyses, risk-reward analyses, and ABC (antecedent-behavior-consequence) analysis. You will participant in several workshops so you will be able to apply these tools immediately. We will also discuss the advantages and disadvantages of each approach so you will know when and where to apply each of these approaches. Finally, we will talk about how to integrate these tools and approaches into equipment designs, incident investigations, management of change, and proactive analyses (e.g., PHAs, FMEAs).
3.2 CEUs, 3.2 COCs, 2.0 CMs, ABIH approval #10-238