Artificial Intelligence (AI) for Enhanced Shutdown / Turnaround Planning

Introduction

Shutdowns and turnarounds (SD/TAR) are among the most critical and expensive activities in industrial operations. They require precise planning, flawless execution, and tight coordination across engineering, maintenance, operations, procurement, and contractors. Traditional planning methods - while essential - often struggle with scope growth, schedule overruns, resource bottlenecks, and unforeseen risks. Artificial Intelligence (AI) now offers powerful new capabilities to analyze historical turnaround data, optimize planning decisions, predict risks, and support real‑time execution control.

This 5‑day Artificial Intelligence (AI) for Enhanced Shutdown / Turnaround Planning training course provides a comprehensive and practical exploration of how AI can transform shutdown and turnaround planning. Delegates will learn how machine learning, predictive analytics, and intelligent automation can enhance scope definition, scheduling, cost estimation, contractor management, and risk mitigation.

Through real‑world case studies, hands‑on exercises, and scenario‑based discussions, participants will discover how AI can reduce uncertainty, improve accuracy, and drive measurable improvements in safety, cost, and schedule performance. This training course is ideal for organizations seeking to modernize their SD/TAR processes and prepare their teams for the next generation of intelligent, data‑driven turnaround management.

This GLOMACS Artificial Intelligence (AI) for Enhanced Shutdown / Turnaround Planning training course will highlight:

• AI fundamentals applied to shutdown and turnaround planning
• Machine learning for scope optimization and risk prediction
• AI‑enabled scheduling, resource planning, and cost modeling
• Predictive analytics for contractor performance and productivity
• Digital twins for turnaround simulation and scenario analysis
• Integration of AI with CMMS, EAM, planning tools, and historian systems
• Real‑time execution monitoring using AI and IoT data
• Case studies from oil & gas, petrochemical, mining, and power sectors

Objectives

By the end of this Artificial Intelligence (AI) for Enhanced Shutdown / Turnaround Planning training course, participants will be able to:

• Analyze turnaround data using AI and advanced analytics
• Predict risks, delays, and cost overruns before they occur
• Apply AI to optimize scope, scheduling, and resource planning
• Use digital twins to simulate turnaround scenarios
• Implement AI‑enabled dashboards for real‑time execution control
• Develop an AI‑supported SD/TAR improvement plan

Training Methodology

The Artificial Intelligence (AI) for Enhanced Shutdown / Turnaround Planning training course is delivered through a blend of instructor-led presentations, live demonstrations, guided exercises, and real-world case studies. Participants will work with actual AI tools, explore practical engineering scenarios, and complete hands-on activities that reinforce learning. The training course is structured to be interactive, engaging, and immediately applicable to workplace challenges. 

Organisational Impact

• Reduced SD/TAR duration and improved schedule adherence
• Lower turnaround costs through optimized planning
• Enhanced safety and reduced operational risk
• Improved contractor performance and resource utilization
• Stronger compliance with asset management and governance standards
• Accelerated digital transformation of turnaround processes

Personal Impact

• Enhanced competence in AI‑enabled turnaround planning
• Stronger analytical and decision‑making skills
• Ability to lead SD/TAR optimization initiatives
• Improved understanding of digital tools and predictive analytics
• Increased confidence in managing complex maintenance events
• Career advancement in maintenance, reliability, and project management