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Supply Chain Technology Certificate
Supply Chain Technology Certificate

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English
Intermediate
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Course Overview

The ASCM Supply Chain Technology Certificate course, delivered by LEORON, offers a comprehensive and future-focused overview of the technologies transforming global supply chains. Participants will explore key innovations including blockchain, advanced analytics, the Internet of Things (IoT), cybersecurity, and additive manufacturing. Each module combines conceptual understanding with real-world c

Key Takeaways

1
Evaluate the impact of disruptive technologies—such as blockchain, AI, IoT, and additive manufacturing—on modern supply chain operations.
2
Apply advanced analytics and forecasting tools to improve inventory planning, production scheduling, and demand accuracy.
3
Implement cybersecurity frameworks to safeguard digital supply chain infrastructures and ensure business continuity.
4
Design integrated digital strategies using technologies like IoT, smart contracts, and digital twins to drive visibility and agility.
5
Develop cross-functional transformation plans to lead technology adoption and enable sustainable supply chain innovation.

Association for Supply Chain Management
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The Association for Supply Chain Management (ASCM) is the global leader in supply chain organizational transformation, innovation and leadership. As the largest nonprofit association for supply chain, ASCM is an unbiased partner, connecting supply chain professionals and companies around the world to the newest thought leadership on all aspects of supply chain. ASCM is built on a foundation of APICS certification and training spanning 60 years. Now, ASCM is driving innovation in the industry with new products, services and partnerships that enable companies to further optimize their supply chains, secure their competitive advantage and positively influence their bottom lines.

Course Outline

Blockchain and Advanced Analytics
Module 1: Blockchain in the Supply Chain

•Understand blockchain fundamentals – Learn what blockchain is and how it works.

•Compare blockchain types – Distinguish between public and private blockchains.

•Evaluate blockchain value – Explore benefits, drawbacks, and security concerns.

•Apply blockchain in supply chains – Review real-world use cases and applications.

•Explore smart contracts & NFTs – Understand automation and digital asset tools.

Module 2: Advanced Analytics and Automation

•Define analytics methods – Differentiate between descriptive, predictive, and prescriptive analytics.

•Use AI and ML in planning – Apply forecasting, automation, and optimization tools.

•Understand data mining – Explore processes and tools for extracting insights.

•Implement new technologies – Follow steps for evaluating and adopting tech.

•Prepare employees – Identify skills required for analytics-driven organizations.

Internet of Things and Cybersecurity
Module 3: Internet of Things (IoT)

•Define and trace IoT evolution – Understand how IoT has transformed supply chain visibility.

•Use tracking technologies – Apply barcodes, RFID, and QR codes for real-time tracking.

•Build IoT infrastructure – Explore platforms, data integration, and cloud architecture.

•Leverage digital twins – Use simulations for predictive maintenance and optimization.

•Manage IoT risks – Address challenges in cybersecurity, costs, and data sovereignty.

Module 4: Cybersecurity in the Supply Chain

•Understand cybersecurity fundamentals – Identify threats within and across supply chains.

•Establish governance programs – Design governance structures to manage cyber risks.

•Apply control measures – Use firewalls, monitoring, and redundancy to ensure protection.

•Train for resilience – Create cybersecurity awareness across internal and partner teams.

•Secure network access – Implement access controls for employees and suppliers.

Demand Planning and Additive Manufacturing
Module 5: Demand Planning Technologies

•Understand demand forecasting – Learn steps, methods, and data sources for planning.

•Use tech for predictions – Apply AI, ML, and social media data for improved accuracy.

•Reduce forecasting errors – Identify common mistakes and mitigation strategies.

•Integrate with inventory planning – Align demand forecasting with production control.

•Evaluate planning tools – Compare traditional and tech-enabled planning systems.

Module 6: Additive Manufacturing (3D Printing)

•Define additive manufacturing – Explore processes, materials, and hybrid options.

•Assess AM benefits – Evaluate speed, customization, and inventory implications.

•Plan AM implementation – Identify best practices for in-house or outsourced setups.

•Explore use cases – Discover where 3D printing creates value in supply chains.

•Recognize limitations – Understand current challenges and when not to use AM.

Who Should Attend?

Supply Chain Managers and Directors

Operations and Production Managers

Procurement and Sourcing Specialists

Logistics and Inventory Managers

IT Leaders and Digital Transformation Officers

Business Analysts and Consultants

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