Role-Based Programme
RB1057

AI for Operations & Plant Heads

Operational Excellence, Plant Performance & Smarter Decision-Making

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support Operations and Plant Heads across production planning, plant performance, operational reviews, issue resolution, and leadership decision-making.
  • Apply AI to analyse operational information, performance data, downtime, quality issues, resource constraints, and process-improvement opportunities.
  • Use AI to improve SOPs, management reporting, review meetings, shift communication, and cross-functional coordination.
  • Develop practical skills for prompting, root-cause exploration, scenario analysis, prioritisation, and action planning.
  • Understand responsible AI use, operational-data confidentiality, safety considerations, governance, and human accountability.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AnalysisData AnalysisOperational ReportingScenario AnalysisExecutive SummarisationAI-Powered Presentation & Communication Tools

Who should attend

  • Operations Heads
  • Plant Heads
  • Plant Managers
  • Factory Heads
  • Manufacturing Heads
  • Production Heads
  • Site Operations Heads
  • Works Managers
  • Operations Directors
  • Manufacturing Directors
  • Engineering Heads
  • Maintenance Heads
  • Process Excellence Leaders
  • Senior Operations Leaders

Prerequisites & Participant Readiness

  • Experience in plant, manufacturing, production, or operations leadership
  • Familiarity with production planning, operational KPIs, maintenance, quality, or plant reviews
  • Basic understanding of digital business tools
  • No programming or technical AI knowledge required
  • Prior AI-tool experience is helpful but not mandatory

TOC Modules

Concepts
  • Understanding Generative AI, AI assistants, multimodal AI, and AI-powered analysis
  • Understanding the relevance of AI to production, maintenance, quality, productivity, safety, and operational management
  • Distinguishing AI assistance from automation, industrial control systems, analytics, and traditional search
  • Understanding AI limitations, hallucinations, uncertainty, and operational-data risks
Practical activities
  • Identifying recurring Plant Head and Operations Head activities suitable for AI assistance
  • Comparing traditional and AI-assisted approaches to an operational management task
  • Mapping potential AI use cases across plant and operations responsibilities

Scenarios

Plant Performance Gap to Corrective Action Plan

Plant Performance Data → AI Analysis → Key Variances → Possible Drivers → Investigation Questions → Corrective Options → Owners & Actions → Plant Review

Participants use AI to analyse a sample plant-performance issue, identify possible contributing factors, develop investigation questions, and prepare a structured corrective-action plan for management review.

Production Disruption to Operational Recovery Plan

Production Disruption → Impact Assessment → Constraints → Response Options → Resource Priorities → Risks → Recovery Actions → Leadership Update

Participants use AI to structure a production disruption, compare potential recovery options, identify operational risks and dependencies, and prepare a management-ready recovery plan while retaining human control over final plant decisions.

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