Role-Based Programme
RB1058

AI for Operations & Plant Heads

Operational Excellence, Plant Performance & Intelligent Decision-Making

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop practical AI capabilities for plant operations, production performance, operational planning, and management decision-making.
  • Apply AI to analyse production data, downtime, quality issues, capacity constraints, maintenance information, safety observations, and operational risks.
  • Use AI to improve plant reviews, shift reporting, root-cause investigations, SOP documentation, resource planning, and cross-functional coordination.
  • Identify and prioritise AI opportunities that can improve productivity, quality, asset utilisation, cost efficiency, reliability, and operational visibility.
  • Apply responsible AI practices related to operational safety, confidentiality, data accuracy, validation, governance, and human accountability.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AnalysisData AnalysisKPI & Trend AnalysisExecutive SummarisationScenario AnalysisMaintenance Intelligence ConceptsPresentation ToolsMeeting IntelligenceKnowledge AssistantsWorkflow Automation Concepts

Who should attend

  • Plant Heads
  • Operations Heads
  • Manufacturing Heads
  • Factory Heads
  • Production Heads
  • Plant Managers
  • Operations Directors
  • Manufacturing Directors
  • Production Managers
  • Maintenance Heads
  • Engineering Heads
  • Quality Heads
  • Operational Excellence Leaders
  • Continuous Improvement Leaders
  • Supply Chain Operations Leaders
  • Senior Plant Leadership Professionals

Prerequisites & Participant Readiness

  • Experience in plant, manufacturing, production, or operational leadership
  • Familiarity with production KPIs, plant reviews, maintenance, quality, and operational processes
  • Basic familiarity with Generative AI tools is recommended
  • Ability to interpret operational reports and structured business data
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, multimodal AI, reasoning models, and AI assistants
  • Exploring AI applications across production, maintenance, quality, safety, planning, and productivity
  • Understanding the difference between AI, analytics, automation, and industrial control systems
  • Recognising hallucinations, incomplete context, and operational limitations of AI
Practical activities
  • Mapping Operations and Plant Head responsibilities to potential AI applications
  • Identifying high-value versus low-value operational AI use cases
  • Comparing traditional and AI-assisted plant-management workflows

Scenarios

Plant Performance Loss to Recovery Plan

Production Data → KPI Variance → Downtime & Quality Review → Constraint Analysis → Root-Cause Questions → Corrective Options → Priority Actions → 90-Day Recovery Plan

Participants use AI to analyse a simulated plant-performance challenge, identify potential operational drivers, structure investigation priorities, and prepare a management-ready recovery plan.

AI-Powered Plant Transformation Roadmap

Plant Priorities → Operational Pain Points → AI Use Cases → Value & Feasibility Assessment → Safety & Risk Review → Prioritisation → Pilot Actions → 12-Month Roadmap

Participants identify and evaluate AI opportunities across production, maintenance, quality, and plant management and develop a phased transformation roadmap aligned with operational value, safety, governance, and execution readiness.

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