Advanced Production Planning, Scheduling and Manufacturing Control Training Course

Course Introduction

The Advanced Production Planning, Scheduling and Manufacturing Control Training Course is designed to provide professionals with advanced knowledge and practical skills required to manage complex manufacturing operations effectively. Modern production environments demand accurate planning, optimized scheduling, efficient resource utilization, and intelligent control systems to achieve higher productivity and competitiveness. This course equips participants with the techniques needed to improve manufacturing performance, reduce delays, and enhance operational excellence.

This comprehensive training program explores advanced concepts in production planning, manufacturing scheduling, capacity management, shop floor control, inventory coordination, and operational decision-making. Participants will gain a deep understanding of how production systems are structured, analyzed, and optimized to meet customer requirements while maintaining cost efficiency, quality standards, and delivery performance. The course combines engineering principles with modern manufacturing management approaches.

Participants will develop practical expertise in advanced scheduling methods, production optimization, demand forecasting, resource allocation, manufacturing execution systems, and performance monitoring. The program demonstrates how organizations can improve workflow efficiency, minimize production bottlenecks, reduce downtime, and increase manufacturing flexibility. Real-world industrial case studies provide insights into successful production control strategies applied in automotive, chemical, pharmaceutical, electronics, and process industries.

The course also addresses emerging technologies transforming manufacturing planning and control, including artificial intelligence, machine learning, digital twins, industrial Internet of Things, predictive analytics, autonomous scheduling, cloud-based manufacturing systems, and smart factory technologies. Participants will understand how digital transformation enables faster decision-making, improved visibility, real-time control, and adaptive production strategies in modern industrial environments.

Through practical workshops, planning exercises, scheduling simulations, production analysis activities, and industrial examples, participants will develop the ability to design effective production plans, optimize manufacturing schedules, evaluate operational performance, and implement advanced control strategies. The course emphasizes practical solutions that improve productivity, reduce manufacturing costs, enhance resource utilization, and support continuous improvement initiatives.

Upon successful completion of the course, participants will possess advanced competencies required to manage production planning and manufacturing control systems effectively. They will be prepared to support operational improvement projects, implement digital manufacturing solutions, optimize production performance, and contribute to the development of efficient, flexible, and future-ready manufacturing organizations.

Duration

10 days

Who Should Attend

• Production Managers

• Manufacturing Engineers

• Industrial Engineers

• Operations Managers

• Plant Managers

• Production Planning Specialists

• Scheduling Engineers

• Supply Chain Professionals

• Manufacturing Control Specialists

• Process Engineers

• Lean Manufacturing Professionals

• Quality Improvement Managers

• Maintenance Managers

• ERP and Manufacturing System Specialists

• Automation Engineers

• Project Engineers

• Continuous Improvement Professionals

• Operations Analysts

• Digital Manufacturing Specialists

• Professionals involved in manufacturing optimization projects

Course Objectives

• Develop advanced knowledge of production planning, scheduling methodologies, and manufacturing control systems used in modern industrial operations.

• Understand production system structures, planning requirements, and optimization techniques for improving manufacturing performance.

• Learn advanced forecasting methods, capacity planning approaches, and resource management strategies for efficient production operations.

• Master scheduling techniques including finite capacity scheduling, sequencing methods, and production workflow optimization.

• Apply manufacturing control principles to improve productivity, reduce delays, and enhance operational reliability.

• Develop expertise in inventory coordination, material planning, and supply chain integration for manufacturing efficiency.

• Understand manufacturing execution systems and digital tools supporting real-time production monitoring and control.

• Learn how artificial intelligence, machine learning, and analytics improve production planning and scheduling decisions.

• Examine emerging technologies including smart factories, digital twins, autonomous scheduling, and Industry 4.0 manufacturing systems.

• Strengthen capabilities in identifying production bottlenecks, resolving scheduling conflicts, and improving manufacturing flexibility.

• Understand performance measurement techniques, key production indicators, and continuous improvement strategies for manufacturing systems.

• Build leadership skills required to manage advanced production optimization projects and manufacturing transformation initiatives.

Comprehensive Course Outline

Module 1: Fundamentals of Production Planning and Control

• Principles of production planning systems and manufacturing control frameworks

• Role of production planning in achieving operational excellence

• Manufacturing strategies supporting productivity and competitive advantage

• Challenges in modern production planning and control environments

Module 2: Manufacturing System Analysis and Design

• Analysis of manufacturing processes and production system structures

• Identifying production constraints and operational improvement opportunities

• Designing efficient manufacturing workflows and production networks

• Evaluating manufacturing performance using engineering methods

Module 3: Demand Forecasting and Production Planning

• Advanced forecasting methods supporting manufacturing decisions

• Translating market demand into effective production plans

• Aggregate production planning strategies for industrial operations

• Balancing customer requirements with manufacturing capabilities

Module 4: Capacity Planning and Resource Optimization

• Capacity evaluation methods for manufacturing facilities

• Resource allocation strategies improving production efficiency

• Managing labor, equipment, and material availability effectively

• Optimization approaches for production capacity improvement

Module 5: Advanced Production Scheduling Techniques

• Scheduling methodologies for complex manufacturing environments

• Finite capacity scheduling and production sequencing strategies

• Optimization of machine utilization and production flow

• Advanced scheduling challenges in dynamic manufacturing systems

Module 6: Manufacturing Execution Systems and Digital Control

• Principles and applications of manufacturing execution systems

• Real-time production monitoring and performance tracking

• Integration of ERP and manufacturing control platforms

• Digital solutions supporting manufacturing decision-making

Module 7: Inventory and Material Planning Optimization

• Inventory control strategies supporting efficient production systems

• Material requirements planning and advanced planning methods

• Reducing inventory costs while maintaining production reliability

• Supply and production coordination improvement techniques

Module 8: Lean Manufacturing and Production Improvement

• Lean principles for improving manufacturing productivity

• Waste elimination strategies in production environments

• Continuous improvement methods supporting operational excellence

• Value stream optimization for manufacturing performance

Module 9: Advanced Manufacturing Control Systems

• Manufacturing control principles for complex production operations

• Feedback control methods improving production stability

• Monitoring production performance using advanced systems

• Adaptive control strategies for changing production requirements

Module 10: Artificial Intelligence in Production Planning

• Artificial intelligence applications in manufacturing scheduling

• Machine learning methods for production forecasting and optimization

• Predictive analytics supporting manufacturing decisions

• Intelligent systems for autonomous production management

Module 11: Industry 4.0 and Smart Manufacturing

• Industry 4.0 technologies transforming production environments

• Industrial Internet of Things applications in manufacturing control

• Smart factory concepts and implementation strategies

• Connected manufacturing systems for real-time optimization

Module 12: Digital Twins and Advanced Simulation

• Digital twin applications in production planning and control

• Simulation models for evaluating manufacturing performance

• Virtual production environments supporting optimization decisions

• Real-time production analysis using digital technologies

Module 13: Supply Chain Integration and Coordination

• Integration of production planning with supply chain operations

• Collaborative planning approaches for manufacturing networks

• Improving logistics coordination and material availability

• Digital supply chain solutions for production optimization

Module 14: Manufacturing Performance Measurement

• Key performance indicators for production management systems

• Measuring productivity, efficiency, and operational effectiveness

• Data-driven approaches for manufacturing improvement

• Performance analysis and continuous optimization methods

Module 15: Emerging Manufacturing Challenges and Technologies

• Autonomous manufacturing systems and intelligent scheduling solutions

• Sustainable production planning and resource optimization methods

• Cybersecurity considerations in digital manufacturing systems

• Future trends in advanced manufacturing management

Module 16: Integrated Production Optimization Project

• Developing advanced production planning improvement strategies

• Designing optimized manufacturing scheduling solutions

• Evaluating technical and economic benefits of improvements

• Creating future roadmaps for intelligent manufacturing systems

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.