25-11-2024 - 29-11-2024	3800	Dubai

Course Introduction:

This course teaches how to lead investigations and root cause analysis using various techniques such as Causal Factor Charting, Fault Tree Analyses, and Root Cause Charts.

Course Objectives:

Upon successful completion of this course, the delegates will be able to:

· Meet regulatory requirements for incident investigations

· Develop and implement a structured program designed for learning from incidents, why and how to define misses

· Train others to recognize and report incidents including planning for trending of data, pareto charts, weibull analysis for failures and other graphical and predictive techniques

· Initiate and conduct an investigation

· Establishing an effective team quickly

· Apply methods for collecting different types of data, including effective interviewing
skills

· Apply causal factor and root cause analysis for investigating process and non-process incidents includes event and condition charting (causal factor charting), filling data gap using fault tree logic, “5-Whys” technique for finding root causes and PII’s Root Cause Chart™ for categorizing root causes

· Develop appropriate recommendations to address root causes at various levels to avoid future incidents

· How to structure reports

· Learn key points and practice new skills via actual industry examples and workshops

Who Should Attend?

This course is intended for engineers, process, process safety, and mechanical - operations and maintenance supervisors.

Course Outline:

Day 1:

· Basics of incidents and investigations

· Workshop: Identifying near misses (near hits)

· Initiating the investigation

o Gathering data

o Basics

o Gathering data from people

o Gathering data from documentation, parts, and chemicals

o Assigning personnel and tasks

· Workshop: Identifying key data needs

· Analyzing data for ALL causal factors

Day 2:

· Workshop: Causal factor charting techniques

o Pareto Analysis

o Fishbone Analysis

o Weibull Analysis

o Bowtie Analysis

o Examples of each type of analysis

o Fault Tree Analysis

o Fuzzy Fault Trees

o Markov Chains & Bayesian Analysis

o Failure Modes Effects Analysis

o Reporting Feedback

· The investigator’s tool kit

o Cameras

o Analytical Tools

o Laboratory – type and kinds

o Model Shop & Machine Shop

· Practical Techniques

· Bridging gaps in data

· Workshop: Using the tools & charts to find out most probable causes

Day 3:

· Refining your analysis to get to the real root causes

· Determining ALL other contributing causes of each causal factor

· Workshop: Identifying root causes using the “Root Cause Chart” techniques & others for causal identifications

· Developing conclusions and recommendations

· Consensus and disagreements

Day 4:

· Team Management

· How to write the report- what’s in it

· Workshop: Conclusions and recommendations based on facts

· The minority report as alternative theories. What, where, and when

· Overview of results trending

Day 5:

· Preparing for the Case Study

· Case Study: Using all rules and methods taught in class to investigate actual incident in real-time setting

· Practical Exercises using real data

· Small teams will:

o Determine data needs

o Gather data (interview role-players, get data from computer control systems, etc.)

o Use causal factor charting and fault trees to analyze data and determine ALL causal factors

o Use PII’s Root Cause Chart ™ to determine the multiple root causes of each causal factor

o Draft effective recommendations and make presentation to class

Course Methodology:

A variety of methodologies will be used during the course that includes:

· (30%) Based on Case Studies

· (30%) Techniques

· (30%) Role Play

· (10%) Concepts

· Pre-test and Post-test

· Variety of Learning Methods

· Lectures

· Case Studies and Self Questionaires

· Group Work

· Discussion

· Presentation

Course Fees:

To be advised as per the course location. This rate includes participant’s manual, Hand-outs, buffet lunch, coffee/tea on arrival, morning & afternoon of each day.