Manufacturing

Advanced Production Planning & Scheduling in Manufacturing Training Course

Introduction

Advanced Production Planning & Scheduling (APPS) in Manufacturing is a high-impact discipline designed to optimize manufacturing efficiency, supply chain synchronization, capacity utilization, and real-time production control. In today’s competitive Industry 4.0 environment, organizations are increasingly adopting AI-driven scheduling systems, Lean manufacturing principles, ERP-integrated planning, and demand-driven production models to reduce lead times, eliminate bottlenecks, and improve on-time delivery performance. Advanced Production Planning & Scheduling in Manufacturing Training Course equips professionals with advanced tools and methodologies to transform traditional planning systems into agile, data-driven production ecosystems.

The course focuses on modern manufacturing challenges such as finite capacity scheduling, constraint-based planning, predictive production analytics, Just-In-Time (JIT) manufacturing, and digital twin production modeling. Participants will gain hands-on expertise in aligning production resources with fluctuating demand, optimizing shop floor execution, and implementing robust planning frameworks using globally accepted best practices. By the end of this program, learners will be able to design scalable production schedules that enhance profitability, reduce waste, and improve overall equipment effectiveness (OEE).

Programme Curriculum

Advanced Production Planning & Scheduling in Manufacturing Training Course

Introduction

Course Duration

10 days

Course Objectives

Master Advanced Production Planning & Scheduling (APPS) systems
Optimize manufacturing workflow and shop floor control
Implement finite capacity scheduling techniques
Improve production lead time reduction strategies
Apply Lean Manufacturing and Six Sigma integration
Enhance ERP-based production planning modules
Develop expertise in real-time scheduling optimization
Utilize demand forecasting and predictive analytics
Manage bottleneck analysis and constraint optimization
Improve inventory control and material requirement planning (MRP)
Increase Overall Equipment Effectiveness (OEE)
Apply AI and machine learning in production scheduling
Achieve supply chain synchronization and agility

Target Audience

Production Managers and Manufacturing Supervisors
Supply Chain and Logistics Professionals
Industrial Engineers and Process Engineers
Operations Managers in Manufacturing Industries
ERP Consultants and System Implementers
Planning and Scheduling Analysts
Quality and Lean Six Sigma Professionals
Plant and Factory Owners / Decision Makers

Course Modules

Module 1: Fundamentals of Production Planning

Overview of production planning systems
Types of production environments (job, batch, mass)
Role of planning in manufacturing efficiency
Key KPIs in production scheduling
Integration with supply chain systems
Case Study: Automotive assembly line planning optimization

Module 2: Master Production Scheduling (MPS)

MPS structure and workflow
Demand alignment techniques
Capacity balancing strategies
Forecast integration methods
Schedule stabilization approaches
Case Study: FMCG production forecasting and MPS alignment

Module 3: Material Requirements Planning (MRP)

Bill of Materials (BOM) management
Net requirement calculations
Lead time optimization
Inventory dependency modeling
MRP system integration
Case Study: Electronics manufacturing inventory reduction

Module 4: Capacity Planning & Utilization

Rough-cut capacity planning
Finite vs infinite capacity systems
Resource loading techniques
Bottleneck identification
Capacity leveling strategies
Case Study: Textile manufacturing capacity imbalance resolution

Module 5: Advanced Scheduling Techniques

Priority sequencing methods
Dispatching rules in production
Dynamic scheduling systems
Real-time schedule adjustments
Constraint-based scheduling
Case Study: Steel production scheduling optimization

Module 6: Lean Manufacturing Integration

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

Module 7: ERP in Production Planning

ERP architecture in manufacturing
Module integration (MM, PP, SD)
Data-driven scheduling
System automation benefits
ERP optimization techniques
Case Study: SAP ERP implementation in automotive plant

Module 8: Demand Forecasting Techniques

Time series forecasting models
Seasonal demand planning
AI-based prediction systems
Forecast error reduction
Market trend analysis
Case Study: Retail manufacturing demand forecasting

Module 9: Shop Floor Control Systems

Real-time production monitoring
Work order tracking systems
Machine utilization analytics
Digital dashboards
Production reporting tools
Case Study: Smart factory IoT implementation

Module 10: Constraint Management (TOC)

Theory of Constraints fundamentals
Identifying system bottlenecks
Drum-buffer-rope methodology
Flow optimization
Throughput improvement strategies
Case Study: Pharmaceutical production constraint resolution

Module 11: Inventory Optimization

Safety stock planning
ABC/XYZ classification
Inventory turnover optimization
Just-in-case vs just-in-time
Stock level balancing
Case Study: Automotive spare parts inventory reduction

Module 12: AI & Machine Learning in Scheduling

Predictive scheduling models
Machine learning optimization
Smart factory automation
Algorithm-based planning
Data-driven decision systems
Case Study: AI-based predictive scheduling in electronics manufacturing

Module 13: Production Analytics & KPI Dashboards

OEE measurement techniques
Real-time performance tracking
KPI dashboard design
Production analytics tools
Decision support systems
Case Study: KPI-driven productivity improvement in packaging industry

Module 14: Risk & Disruption Management

Supply chain risk planning
Production disruption handling
Contingency scheduling
Crisis resource allocation
Resilience strategies
Case Study: COVID-era manufacturing disruption recovery

Module 15: Digital Twin & Smart Manufacturing

Digital twin concept in manufacturing
Virtual production simulation
Smart factory integration
IoT-enabled scheduling systems
Predictive maintenance alignment
Case Study: Smart manufacturing plant transformation

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

Scheduling optimization Resource planning Production coordination Efficiency management

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