Training Solutions
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AI Production Scheduling & Factory Optimisation

Production teams can use AI to forecast demand, optimize scheduling, predict maintenance needs, and improve factory efficiency by 15-25% within 90 days

Train production planners and operations managers to leverage AI for demand forecasting, capacity planning, predictive maintenance scheduling, and real-time production optimisation. Designed for automotive, electronics, food processing, and pharmaceutical manufacturers implementing Industry 4.0 smart factory initiatives across Southeast Asia.

Duration4-5 days
InvestmentUSD $18,000 - $35,000
Best forProduction planners, operations managers, plant engineers, and supply chain coordinators in manufacturing facilities implementing smart factory technologies and Industry 4.0 systems

THE CHALLENGE

Sound familiar?

We're still doing production scheduling in Excel and it takes 6 hours every Monday to replan the week.

Machine downtime catches us by surprise — we need predictive maintenance that actually predicts.

Our capacity planning is reactive. When demand spikes, we scramble to reallocate resources.

We have three shifts running different systems and no unified view of production efficiency.

Quality issues are identified too late in the process — AI could flag defects in real-time.

Energy costs are killing us but we don't know which production sequences are the most wasteful.

Trusted by enterprises across Southeast Asia

Financial Services
Healthcare
Education
Manufacturing
Professional Services
Government

OUTCOMES

What you'll achieve

Problems you'll solve

  • Manual production scheduling taking 15-20 hours per week with frequent last-minute changes
  • Reactive maintenance causing unplanned downtime of 8-12% and production delays
  • Capacity planning based on historical averages instead of AI-driven demand forecasting
  • Quality defects detected at end-of-line inspection instead of in-process intervention
  • Energy consumption not optimised against production sequences and machine utilization
  • Multi-shift operations lacking unified real-time visibility and performance benchmarking

Value you'll gain

  • Efficiency Gains: Reduce production scheduling time by 60-75% using AI demand forecasting and capacity optimization
  • Downtime Reduction: Cut unplanned machine downtime by 30-40% through predictive maintenance scheduling
  • Quality Improvement: Detect defects 50-70% earlier using AI-powered in-process quality monitoring
  • Cost Savings: Reduce energy consumption by 15-25% through AI-optimized production sequencing
  • OEE Improvement: Increase Overall Equipment Effectiveness (OEE) by 12-18% within 6 months
  • Compliance Ready: Meet ISO 9001, HACCP, GMP requirements with AI-powered audit trail and traceability

OUR PROCESS

How we deliver results

Step 1

Factory Assessment

Map current production scheduling workflows, equipment sensors, quality checkpoints, and identify highest-impact AI optimization opportunities across your manufacturing operations.

Step 2

Curriculum Customisation

Tailor training content to your specific manufacturing context (automotive, electronics, F&B, pharma) including your ERP systems, MES platforms, and Industry 4.0 initiatives.

Step 3

Hands-On Delivery

Multi-day programme with live production data, real scheduling scenarios, and hands-on labs using AI tools for demand forecasting, capacity planning, and maintenance prediction.

Step 4

Use Case Development

Teams build factory-specific AI applications: predictive maintenance models, production sequence optimizers, quality defect classifiers, or energy consumption forecasters.

Step 5

Adoption Support

30-day implementation coaching to deploy AI scheduling pilots, integrate with existing MES/ERP systems, and measure OEE improvements across production lines.

What you'll receive

  • Factory AI Readiness Assessment Report
  • Customised training materials aligned to your manufacturing vertical
  • 4-6 factory-ready AI use cases (scheduling, maintenance, quality, energy)
  • AI implementation playbooks for production teams
  • Individual learning certificates and competency assessments
  • 30-day post-programme coaching and deployment support
  • AI vendor shortlist and ROI modeling templates

Best for

Production planners, operations managers, plant engineers, and supply chain coordinators in manufacturing facilities implementing smart factory technologies and Industry 4.0 systems

IS THIS RIGHT FOR YOU?

Finding the right fit

This is ideal for you if...

  • Manufacturing plants implementing Industry 4.0 and smart factory initiatives
  • Production teams struggling with manual scheduling, reactive maintenance, or quality issues
  • Operations managers seeking 15-25% efficiency improvements through AI
  • Manufacturers with basic sensor infrastructure ready to deploy predictive analytics
  • Companies requiring ISO 9001, HACCP, or GMP compliance with AI-powered traceability

Consider another option if...

  • Fully manual factories with zero digital production tracking (recommend digitization assessment first)
  • Teams seeking theoretical AI knowledge without hands-on implementation focus
  • Single-person operations without cross-functional stakeholders (planners, engineers, operators)

See yourself in the list above?

Let's Talk

CURRICULUM

What you'll learn

2 days total

Master AI-driven demand forecasting, capacity planning, and production scheduling optimization for manufacturing operations.

What you'll be able to do

  • Build AI demand forecasting models using historical production and sales data
  • Optimize production schedules using constraint-based AI planning algorithms
  • Simulate capacity scenarios and bottleneck analysis with AI scenario planning
  • Integrate AI scheduling recommendations into existing ERP/MES systems
  • Measure forecast accuracy and scheduling efficiency improvements

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