Enterprise Resource Planning (ERP)

IoT Integration with ERP for Smart Manufacturing Training Course

Introduction

The Industrial Internet of Things (IIoT) is revolutionizing smart manufacturing by seamlessly integrating connected devices, sensors, and machinery with Enterprise Resource Planning (ERP) systems. This integration empowers manufacturers to achieve real-time visibility, optimize production workflows, enhance predictive maintenance, and make data-driven decisions that improve operational efficiency. The convergence of IoT and ERP fosters digital transformation, enabling companies to scale, automate processes, and maintain competitive advantage in an increasingly connected industrial landscape.

IoT Integration with ERP for Smart Manufacturing Training Course is designed to equip professionals with the knowledge and practical skills to harness the full potential of connected technologies. Participants will explore IoT-driven analytics, cloud-enabled ERP solutions, and cyber-physical systems to create intelligent manufacturing ecosystems. Through hands-on case studies, interactive simulations, and expert-led sessions, attendees will learn to implement IoT strategies that streamline operations, reduce costs, and maximize productivity, preparing them for the next wave of Industry 4.0 innovation.

Programme Curriculum

IoT Integration with ERP for Smart Manufacturing Training Course

Introduction

Course Duration

5 days

Course Objectives

Understand the fundamentals of IoT and ERP integration in smart manufacturing.
Explore Industry 4.0 trends and their impact on digital manufacturing ecosystems.
Analyze real-time data analytics for improved decision-making and efficiency.
Implement predictive maintenance strategies using IoT-enabled devices.
Optimize supply chain management with connected ERP systems.
Develop skills to integrate cloud-based ERP solutions with IoT platforms.
Examine cybersecurity protocols for safe IoT-ERP integration.
Design digital twin simulations for production optimization.
Apply AI and machine learning techniques to IoT data for smart manufacturing.
Create KPIs and performance dashboards for IoT-enabled ERP systems.
Evaluate energy management and sustainability through IoT integration.
Study real-world case studies of successful IoT-ERP implementations.
Build practical expertise in troubleshooting and scaling IoT-integrated ERP systems.

Target Audience

Manufacturing Engineers
Production Managers
ERP Consultants
IoT Solutions Architects
Data Analysts in Manufacturing
Operations Managers
IT Managers in Industrial Sectors
Industry 4.0 Enthusiasts

Course Modules

Module 1: Introduction to IoT and ERP in Smart Manufacturing

Fundamentals of IoT and ERP systems
Benefits of IoT-ERP integration
Industry 4.0 overview
Key IoT devices and sensors in manufacturing
Case Study: Siemens Smart Factory IoT integration

Module 2: IoT Architecture and Connectivity

IoT communication protocols
Sensor and device data acquisition
Edge vs. cloud computing
Network and connectivity challenges
Case Study: Bosch IoT Cloud implementation

Module 3: ERP Systems for Manufacturing

Overview of ERP modules
ERP deployment strategies
Integrating ERP with shop floor operations
ERP reporting and analytics
Case Study: SAP S/4HANA IoT integration

Module 4: Data Analytics and Real-time Insights

Real-time data collection and monitoring
Predictive analytics for maintenance
Data visualization dashboards
Key KPIs for smart manufacturing
Case Study: GE Predix platform for manufacturing

Module 5: Predictive Maintenance and AI

IoT-driven predictive maintenance strategies
Machine learning models for fault detection
Reducing downtime and increasing uptime
Integrating AI with ERP systems
Case Study: Caterpillar predictive maintenance use case

Module 6: Supply Chain Optimization

IoT-enabled inventory management
Real-time tracking of goods
Vendor and logistics integration
ERP-driven procurement optimization
Case Study: DHL IoT supply chain solutions

Module 7: Cybersecurity and Risk Management

IoT security protocols and encryption
Securing ERP systems
Risk assessment methodologies
Compliance with industry standards
Case Study: Honeywell secure industrial IoT deployment

Module 8: Implementation and Best Practices

Planning IoT-ERP integration projects
Change management and workforce readiness
Performance measurement and optimization
Scaling IoT solutions in manufacturing
Case Study: Schneider Electric smart manufacturing success

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.

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

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000