Introduction

Master Production Scheduling (MPS) is a critical backbone of modern manufacturing operations, enabling organizations to align demand forecasting, production planning, capacity optimization, and inventory control into a unified execution strategy. In today’s highly competitive and volatile supply chain environment, companies must adopt data-driven production scheduling, lean manufacturing principles, and advanced planning systems (APS) to ensure on-time delivery, reduced lead times, and minimized operational costs. Master Production Scheduling (MPS) in Manufacturing Training Course provides a deep dive into how MPS integrates with ERP systems, demand planning, and shop floor execution, empowering professionals to build resilient and responsive manufacturing systems.

This program is designed to equip participants with practical and strategic capabilities in production planning, capacity leveling, demand-driven scheduling, and constraint-based optimization. With increasing adoption of Industry 4.0, smart factories, AI-driven forecasting, and real-time production analytics, Master Production Scheduling has become essential for achieving operational excellence, supply chain agility, and customer satisfaction. Learners will gain hands-on exposure to real-world scenarios, enabling them to optimize production throughput, reduce bottlenecks, and enhance manufacturing efficiency using best-in-class scheduling techniques.

Programme Curriculum

Master Production Scheduling (MPS) in Manufacturing Training Course

Introduction

Course Duration

5 days

Course Objectives

Understand Master Production Scheduling (MPS) framework and lifecycle
Apply demand forecasting techniques for production alignment
Optimize capacity planning and finite scheduling models
Integrate MPS with ERP and APS systems
Improve inventory optimization and stock control strategies
Enhance lead time reduction and cycle time efficiency
Implement lean manufacturing and just-in-time (JIT) principles
Develop production leveling (Heijunka) techniques
Manage bottleneck identification and constraint resolution
Strengthen supply chain synchronization and responsiveness
Utilize data analytics for production decision-making
Improve shop floor control and real-time monitoring
Achieve cost reduction and operational efficiency through scheduling optimization

Target Audience

Production Managers
Supply Chain Managers
Operations Managers
Manufacturing Engineers
Planning & Scheduling Officers
ERP System Analysts
Industrial Engineers
Logistics and Inventory Control Specialists

Course Modules

Module 1: Fundamentals of Master Production Scheduling

Overview of MPS in manufacturing systems
Role of MPS in supply chain integration
Difference between MPS, MRP, and ERP
Demand forecasting inputs for MPS
Case Study: Automotive assembly plant scheduling delays reduction

Module 2: Demand Planning & Forecast Integration

Statistical forecasting techniques
Seasonal demand adjustment methods
Sales & Operations Planning (S&OP) alignment
Data-driven demand prediction tools
Case Study: FMCG demand fluctuation stabilization

Module 3: Capacity Planning & Resource Allocation

Finite vs infinite capacity planning
Work center balancing techniques
Resource utilization optimization
Constraint-based scheduling models
Case Study: Electronics manufacturing capacity overload solution

Module 4: Inventory Optimization & Control

Safety stock and reorder point strategies
ABC/XYZ inventory classification
Inventory turnover improvement methods
MPS-driven stock reduction techniques
Case Study: Retail supply chain excess inventory reduction

Module 5: Lean Manufacturing & Production Flow

Lean principles in scheduling
Waste elimination in production flow
Just-in-Time (JIT) implementation
Value stream mapping integration
Case Study: Lean transformation in packaging industry

Module 6: ERP & Advanced Planning Systems Integration

ERP modules for production planning
APS system functionalities
Real-time production tracking
Data synchronization across systems
Case Study: ERP-driven scheduling improvement in textile factory

Module 7: Shop Floor Execution & Control

Production order management
Real-time monitoring dashboards
Bottleneck detection techniques
Downtime reduction strategies
Case Study: Machine utilization improvement in metal fabrication plant

Module 8: Advanced Analytics & AI in MPS

Predictive analytics in production scheduling
AI-based demand forecasting
Digital twin simulation models
KPI tracking and performance metrics
Case Study: Smart factory optimization using AI scheduling tools

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

Demand planning Production scheduling Capacity balancing Inventory alignment

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Sep 21 2026

21 Sep — 25 Sep 2026

💻 Online / Virtual session

Online $1,000