Introduction

Advanced Capacity Planning in Manufacturing is a critical discipline that enables organizations to align production capability with demand variability, supply chain constraints, and operational efficiency goals. In today’s fast-paced, data-driven industrial environment, manufacturers must leverage advanced forecasting models, AI-driven planning tools, and real-time production analytics to optimize throughput, minimize bottlenecks, and reduce operational costs. Advanced Capacity Planning in Manufacturing Training Course is designed to equip professionals with cutting-edge strategies in capacity utilization, finite scheduling, and demand-supply balancing to achieve world-class manufacturing performance.

With increasing global competition, digital transformation, and Industry 4.0 adoption, capacity planning has evolved into a strategic function rather than a tactical task. This course integrates modern methodologies such as predictive analytics, ERP-integrated planning systems, lean manufacturing principles, and constraint-based scheduling. Participants will gain practical insights into improving production agility, enhancing resource allocation, and building resilient manufacturing systems that respond effectively to market fluctuations and supply chain disruptions.

Programme Curriculum

Advanced Capacity Planning in Manufacturing Training Course

Introduction

Course Duration

10 days

Course Objectives

Master advanced capacity planning optimization techniques
Understand demand forecasting and predictive analytics in manufacturing
Apply finite and infinite capacity scheduling models
Optimize production throughput and bottleneck management
Implement AI-driven manufacturing planning systems
Develop expertise in ERP-integrated capacity planning
Improve supply chain synchronization and resilience
Apply lean manufacturing and waste reduction strategies
Enhance resource allocation and utilization efficiency
Design real-time production monitoring dashboards
Strengthen constraint-based planning and Theory of Constraints (TOC)
Build capability in what-if scenario simulation and modeling
Improve decision-making using data-driven manufacturing intelligence

Target Audience

Production Managers
Operations Managers
Supply Chain Analysts
Manufacturing Engineers
Plant Supervisors
Industrial Engineers
ERP System Analysts
Continuous Improvement Specialists

Course Modules

Module 1: Fundamentals of Capacity Planning

Capacity types: design, effective, actual
Role in manufacturing strategy
Key performance indicators (KPIs)
Load vs capacity balancing
Planning horizons in operations
Case Study: A mid-size auto parts manufacturer reducing idle capacity by 18%

Module 2: Demand Forecasting Techniques

Time-series forecasting models
AI/ML-based demand prediction
Seasonality and trend analysis
Forecast accuracy improvement methods
Integration with production planning
Case Study: FMCG firm improving forecast accuracy by 25%

Module 3: Production Scheduling Systems

Master production scheduling (MPS)
Job shop vs flow shop scheduling
Priority rule techniques
Bottleneck scheduling optimization
Real-time scheduling adjustments
Case Study: Electronics manufacturer reducing delays by 30%

Module 4: Finite Capacity Planning

Resource-constrained scheduling
Work center balancing
Load leveling techniques
Capacity smoothing strategies
Constraint identification methods
Case Study: Textile plant optimizing machine utilization

Module 5: Infinite Capacity Planning

Theoretical capacity planning models
Aggregate planning approaches
Limitations and risks
Hybrid planning systems
Production scaling strategies
Case Study: Beverage company scaling production for peak demand

Module 6: Bottleneck Management (TOC)

Theory of Constraints principles
Identifying system bottlenecks
Drum-buffer-rope scheduling
Throughput optimization
Continuous improvement cycles
Case Study: Automotive assembly line throughput increase by 22%

Module 7: ERP-Based Capacity Planning

ERP module integration
Real-time data synchronization
Production order management
Resource planning automation
System configuration best practices
Case Study: ERP rollout reducing planning errors by 40%

Module 8: Lean Manufacturing Integration

Waste elimination strategies
Just-in-Time (JIT) production
Value stream mapping
Continuous flow systems
Kaizen implementation
Case Study: Lean transformation in packaging industry

Module 9: Advanced Analytics in Capacity Planning

Predictive analytics models
Big data in manufacturing
Dashboarding and visualization
KPI tracking systems
Machine learning applications
Case Study: Smart factory improving efficiency by 28%

Module 10: Supply Chain Coordination

End-to-end supply planning
Vendor capacity alignment
Inventory synchronization
Logistics optimization
Risk mitigation strategies
Case Study: FMCG supply chain disruption recovery model

Module 11: Resource Optimization Techniques

Machine and labor balancing
Shift optimization models
Multi-resource scheduling
Cost efficiency analysis
Capacity trade-off decisions
Case Study: Steel plant reducing overtime costs

Module 12: Scenario Planning & Simulation

What-if analysis techniques
Digital twin simulation
Risk modeling approaches
Capacity stress testing
Decision tree analysis
Case Study: Pharmaceutical demand surge simulation

Module 13: Real-Time Monitoring Systems

IoT-enabled tracking systems
Production dashboards
KPI alerts and triggers
Performance analytics
Smart factory integration
Case Study: Real-time monitoring in electronics manufacturing

Module 14: Demand-Supply Balancing

Demand shaping strategies
Production leveling techniques
Backlog management
Supply variability handling
Agile manufacturing systems
Case Study: Consumer goods demand spike management

Module 15: Strategic Capacity Expansion

Expansion planning models
Capital investment analysis
ROI evaluation techniques
Risk assessment frameworks
Long-term capacity strategy
Case Study: Greenfield manufacturing plant expansion planning

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Capacity forecasting Resource allocation Production scheduling Bottleneck analysis

Programme Fee

Duration: 10 Days

Method: Online or Physical

Online Price: $2,000

Physical Price: $3,000

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $2,000