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Operational Risk Decision Intelligence for Ops and Maintenance Leaders

Decision tree and Monte Carlo risk histogram for maintenance choices.

Operational Risk Decision Intelligence for Ops and Maintenance Leaders

Location
Duration
Online /In-Class
5 days

Sector:

Cross-Industry – Leadership & Strategy

Technical Focus Area: 

Strategy & Planning (STRAT)

About the Course

The Operational Risk Decision Intelligence for Ops and Maintenance Leaders (MITC1024) executive session is engineered for senior professionals aiming to master complex industry challenges. A tools-first training program for effective operations/maintenance to make faster, smarter decisions. Use Decision Trees, Monte Carlo, and FMEA (Failure Mode & Effect Analysis) to align maintenance with value.

Learning Milestones

By the end of this course, participants will be able to:
• Improve productivity using timely, decision
• ready information from CMMS/ERP/MRP.
• Diagnose why “good people make bad decisions” and apply guidelines for sound decision analysis.
• Build and analyze Decision Trees; run Monte Carlo simulations to quantify uncertainty and value of information.
• Apply Multi
• Criteria Decision
• Making (AHP/MCDM) to rank alternatives and allocate resources.
• Conduct optimized failure analyses using FMEA; compute RPNs and prioritize mitigations.
• Model reliability (series/parallel) and evaluate redundancy options aligned with risk and cost.
• Design and track maintenance performance measures; use OEE to drive lean improvements.
• Convert customer/operations needs into engineering requirements with the House of Quality (QFD).
• Develop an action plan that integrates these methods into maintenance strategy and measures benefits.

Professional Audience

• Operation Professionals
• Maintenance Professionals
• Reliability Professionals
• Key Operations Supervisors
• Internal Improvement Consultants

Modular Syllabus

Decision Foundations, Uncertainty & Bias

- Scope and significance of decisions in O&M

- The decision process: framing, alternatives, criteria, constraints

- Why good organizations make bad decisions; cognitive pitfalls

- Decision Trees: low-probability/high-consequence events

- Value of information and control

- Monte Carlo simulation: setup, assumptions, interpretation

- Guidelines for good decision analysis in maintenance contexts

- **Activity/Workshop:** Build a decision tree and run a basic Monte Carlo for a repair/replace scenario

Course Dates & Prices

Picture
Location
Date
Price
Enroll to the Course
Online
06/07/2026
1499 $
Enroll
Istanbul (Turkey)
06/07/2026
3699 $
Enroll
London (UK)
06/07/2026
4099 $
Enroll
Online
13/07/2026
1499 $
Enroll
Dubai (UAE)
13/07/2026
3799 $
Enroll
Dubai (UAE)
13/07/2026
3799 $
Enroll
Kuala Lumpur (Malaysia)
20/07/2026
4199 $
Enroll
Online
20/07/2026
1499 $
Enroll
Doha (Qatar)
20/07/2026
3799 $
Enroll
Kuala Lumpur (Malaysia)
27/07/2026
4099 $
Enroll
Dubai (UAE)
27/07/2026
3799 $
Enroll
Istanbul (Turkey)
27/07/2026
3699 $
Enroll
Online
27/07/2026
1499 $
Enroll
Online
03/08/2026
1499 $
Enroll
Cairo (Egypt)
03/08/2026
3699 $
Enroll
Dubai (UAE)
03/08/2026
3799$
Enroll
Dubai (UAE)
10/08/2026
3799 $
Enroll
Istanbul (Turkey)
10/08/2026
3699 $
Enroll
Online
10/08/2026
1499 $
Enroll
Online
17/08/2026
1499 $
Enroll
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