Role-Based Programme
RB1300

AI for Production & Manufacturing Operations

Smarter Planning, Process Efficiency & Operational Performance

IMAGE REQUIRED
Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how AI can support Production and Manufacturing Operations across planning, process monitoring, issue analysis, quality, and reporting.
  • Explore practical AI applications for analysing production data, identifying bottlenecks, reviewing downtime, and improving shop-floor coordination.
  • Apply structured prompting techniques to create production summaries, issue-analysis briefs, shift reports, and improvement recommendations.
  • Use AI to improve productivity across production planning, process reviews, documentation, action tracking, and management reporting.
  • Recognise safety, data quality, confidentiality, technical validation, and human-review requirements when using AI in manufacturing environments.

Tools covered

Generative AI AssistantsProduction Data AnalysisProcess AnalysisProduction Planning SupportDowntime & Issue AnalysisQuality Insight SupportMaintenance CoordinationOperational ReportingAI-Powered Documentation & Productivity Tools

Who should attend

  • Production Managers
  • Manufacturing Managers
  • Plant Operations Managers
  • Production Executives
  • Manufacturing Executives
  • Shop Floor Supervisors
  • Production Supervisors
  • Operations Engineers
  • Production Engineers
  • Manufacturing Engineers
  • Process Engineers
  • Plant Operations Professionals
  • Production Planning Professionals
  • Operational Excellence Professionals
  • Production & Manufacturing Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of production, manufacturing, or plant operations
  • Familiarity with production schedules, process KPIs, downtime, quality, or shop-floor reporting is helpful
  • Basic analytical and operational problem-solving skills
  • No programming or technical AI knowledge required
  • No previous AI-tool experience required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to production and manufacturing
  • Exploring AI applications across production planning, process monitoring, quality, maintenance coordination, and reporting
  • Understanding the difference between AI assistance, industrial automation, analytics, and operational judgement
  • Recognising AI limitations, hallucinations, inaccurate technical assumptions, and unsafe recommendations
Practical activities
  • Identifying high-value AI applications across a typical manufacturing workflow
  • Comparing a traditional production-management task with an AI-assisted approach

Scenarios

Production Shortfall to Improvement Plan

Production Target + Actual Output → AI-Assisted Analysis → Throughput Gaps → Bottlenecks → Downtime / Quality Factors → Priority Actions → Improvement Plan

Participants use AI to analyse sample production-performance information, identify key operational gaps, and prepare a structured improvement plan for production review.

Shift Data to Manufacturing Management Summary

Shift Output + Downtime + Defects + Open Issues → AI-Assisted Consolidation → Key Risks → Actions & Owners → Improvement Priorities → Management Summary

Participants use AI to consolidate sample shift information into a concise management-ready report highlighting production performance, quality concerns, downtime, and priority actions.

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