Iot & Real-time Supply Chain Visibility: Unlocking Operational Efficiency And Transparency

Introduction

IoT & Real-Time Supply Chain Visibility training empowers professionals to leverage Internet of Things (IoT) technologies to achieve unprecedented levels of transparency and efficiency in supply chain operations. This course focuses on analyzing sensor data, implementing real-time tracking systems, and understanding the impact of IoT on supply chain responsiveness. Participants will learn to deploy IoT devices, utilize data analytics for predictive insights, and understand the intricacies of using cloud platforms to manage and visualize supply chain data. By mastering IoT and real-time visibility, professionals can enhance their ability to optimize logistics, reduce delays, and contribute to a more agile and data-driven supply chain.

The increasing demand for immediate information and the growing need for proactive supply chain management necessitate a comprehensive understanding of IoT applications and data integration best practices. This course delves into the nuances of sensor networks, data dashboards, and alert systems, empowering participants to develop and implement tailored IoT solutions. By integrating hardware deployment skills with data analytics expertise, this program enables organizations to lead initiatives that maximize supply chain efficiency and drive long-term operational excellence.

Target Audience:

• Supply chain managers
• Logistics professionals
• Operations managers
• IT managers
• Data analysts
• IoT engineers
• Project managers
• Quality assurance specialists
• Warehouse managers
• Transportation managers
• Retail professionals
• Manufacturing professionals
• Individuals interested in IoT and supply chain visibility

Course Objectives:

• Understand the fundamentals of IoT and its application in enhancing supply chain visibility.
• Implement techniques for deploying and managing IoT devices and sensor networks.
• Understand the role of real-time data collection and processing in supply chain operations.
• Implement techniques for utilizing data analytics and dashboards for supply chain monitoring.
• Understand the principles of cloud platforms and data integration for IoT-enabled supply chains.
• Implement techniques for developing alert systems and proactive notifications.
• Understand the role of IoT in optimizing logistics and transportation management.
• Implement techniques for conducting pilot projects and proof-of-concepts for IoT implementations.
• Understand the legal and security considerations related to IoT in supply chain.
• Implement techniques for integrating IoT data with existing supply chain systems.
• Understand the economic and operational benefits of IoT adoption in supply chains.
• Develop strategies for managing IoT-driven supply chain projects.
• Develop strategies for measuring and analyzing the effectiveness of IoT implementations.

DURATION

5 Days

COURSE CONTENT

Module 1: IoT Fundamentals in Supply Chain:

• Introduction to IoT and its applications in supply chain
• Key components of an IoT system: sensors, gateways, cloud platforms
• Benefits of real-time visibility and data-driven decision-making
• Overview of IoT use cases in logistics, warehousing, and transportation
• Impact of IoT on supply chain efficiency and responsiveness

Module 2: IoT Device Deployment and Management:

• Selection and configuration of IoT sensors and devices
• Network connectivity and communication protocols
• Device management and remote monitoring
• Power management and battery life optimization
• Deployment best practices and challenges

Module 3: Real-Time Data Collection and Processing:

• Data acquisition and streaming from IoT devices
• Edge computing and data preprocessing
• Data storage and management in the cloud
• Real-time data analytics and event processing
• Data integration and standardization

Module 4: Data Analytics and Dashboards:

• Developing interactive dashboards for supply chain monitoring
• Data visualization and reporting techniques
• Key performance indicators (KPIs) and metrics
• Predictive analytics and anomaly detection
• Customizing dashboards for specific use cases

Module 5: Cloud Platforms and Data Integration:

• Cloud platform selection and architecture (AWS, Azure, GCP)
• Data integration with existing supply chain systems (ERP, WMS)
• API development and data exchange
• Cloud-based data analytics and machine learning services
• Scalability and reliability of cloud platforms

Module 6: Alert Systems and Proactive Notifications:

• Developing alert rules and thresholds
• Real-time notifications and alerts for critical events
• Automated workflows and exception handling
• Mobile notifications and remote access
• Improving response times and decision-making

Module 7: Logistics and Transportation Optimization:

• Real-time tracking of shipments and assets
• Route optimization and traffic management
• Temperature and humidity monitoring for perishable goods
• Predictive maintenance for transportation vehicles
• Fleet management and driver behavior analysis

Module 8: Pilot Projects and Proof-of-Concepts:

• Developing pilot project plans and objectives
• Selecting appropriate use cases and scenarios
• Conducting proof-of-concept testing and validation
• Evaluating the feasibility and ROI of IoT implementations
• Scaling and deploying successful pilots

Module 9: Legal and Security Considerations:

• Data privacy and security regulations (GDPR, CCPA)
• Cybersecurity threats and vulnerabilities in IoT systems
• Data encryption and access control
• Compliance with industry-specific regulations
• Developing security protocols and incident response plans

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: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

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

Certification

Participants will be issued with Skills for Africa Training Institute 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: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 5 working days before commencement of the training.