Technology remains critical for supply chain organizations. In the upcoming years, supply chains must adopt new technologies that improve decision-making to enable a sustainable future. ASCM’s Supply Chain Technology Certificate introduces emerging technologies, explains how to implement them for organizational improvement and provides an overview of how they directly affect supply chain performance.
Technologies like AI, advanced analytics, cybersecurity and additive manufacturing allow for more transparent supply chains, help predict future events, provide specific recommendations based on available data, automate routine tasks, streamline operations, cut costs and shorten delivery times. Staying up-to-date with technology and acquiring skills to align with your company's transformation goals is crucial for supply chain professionals in every job function.
Train your team in supply chain technology. Take the first step toward digitizing your supply chain.
Train your team in Supply Chain Technology. Take the first step toward digitizing your supply chain. ASCM’s Supply Chain Technology Certificate program provides learners with a foundational understanding of current and emerging technologies.
The 20-hour program focuses on the benefits and risks of supply chain technologies and proven implementation methods. Learners gain essential knowledge about blockchain, artificial intelligence, machine learning, robotics, the IoT, and automation to make thoughtful, data-driven decisions.
The ASCM Supply Chain Technology Certificate program is designed for supply chain professionals who want to deepen their knowledge of emerging technologies and their impact on the industry. This includes individuals at various career levels, from early-career professionals to managers and leaders, as well as IT professionals working in supply chain, consultants, and students interested in the field.
The program equips participants with the knowledge and skills to evaluate and implement innovative technology solutions for supply chain challenges, ultimately enhancing their career prospects and contributing to their organization's success. By completing the program, participants gain a comprehensive understanding of how these technologies can be leveraged to optimize supply chain operations, improve decision-making, and drive innovation.
Available Courses and Exams
ASCM Self Study Supply Chain Technology Certificate Course 31 December 2024 | Self-study, International
Advance your Supply Chain career. Enroll now:
Organizations whose employees complete the ASCM Supply Chain Technology Certificate program benefit from enhanced supply chain performance, better decision-making, and improved problem-solving skills among their workforce. By understanding and mitigating technology-related risks, the program helps organizations ensure business continuity and resilience in the face of evolving market conditions.
Furthermore, the ASCM’s Supply Chain TECHNOLOGY CERTIFICATE program will equip teams within organizations with a common knowledge base while learning how to:
Obtaining the ASCM Supply Chain Technology Certificate enhances career prospects for individuals. It deepens their understanding of emerging technologies and their application in supply chain management, equipping them to propose innovative solutions and make informed decisions. It also enables professionals to stay ahead of industry trends and adapt to evolving technologies, positioning them for leadership roles in the dynamic field of supply chain management.
With the ASCM Supply Chain TECHNOLOGY CERTIFICATE program, individuals will gain working knowledge of emerging technologies and how they may affect the supply chain. After completing the program, individuals will be better equipped to:
Advanced Analytics and Automation
Learn how predictive analytics uses machine learning algorithms and data mining to predict future events and how prescriptive analytics takes it one step further by providing specific recommendations based on available data. Understand how artificial intelligence and robotics can be implemented in supply chain to automate routine tasks.
Demand Planning Technologies
This section will cover the reliability of supply chain forecasting technology, the integration of enabling technology, and the role of data and pattern recognition for inventory management and production.
Cybersecurity
Discover the latest governance in cybersecurity, anti-hacking technology and access controls to manage, assess, mitigate and monitor your network.
Blockchain
You’ll learn how blockchain can allow for more transparent supply chains, improve product traceability, and enable smart contracts within the industry to maintain a digital record of workflows and processes.
Internet of Things
Learn about the infrastructure of the Internet of things, what it means for supply chain, and how digital twins can help companies make data-driven decisions. Explore how connected logistics and smart production can streamline operations, cut costs and shorten delivery times.
Additive Manufacturing (3D Printing)
Learn about additive manufacturing in supply chain, appropriate use cases and in-house vs. outsourcing considerations.
What Is Blockchain? Defining Blockchain. Why Is Blockchain Important? Key Elements of a Blockchain. How Blockchain Works. Blockchain Consensus.
Types of Blockchains: Different Types of Blockchain Networks. Public Blockchain. Private Blockchain. Public versus Private Blockchains.
Advantages and Disadvantages of Using Blockchain: Benefits of Blockchain. Smart Contracts. Non-fungible Tokens (NFTs). Threats to Blockchain Security.
Blockchain Implementation: Factors to Consider When Implementing Blockchain. Implementation Steps.
Advantages and Disadvantages of Using Blockchain: How Is Blockchain Used in Supply Chain? Case Study: An American Multinational Retail Corporation. Case Study: PharmaLedger. Case Study: A Global Leader in Logistics. Case Study: An American Multinational Automobile Manufacturer. Case Study: A Swiss Multinational Food and Drink Processing Company.
What Are Advanced Analytics and Automation? Advanced Analytics. End-to-End Analytics Process. Automation. Automation—Robotics.
Advanced Analytics Methods: Operations Research and Management Sciences. Descriptive, Diagnostic, Prescriptive, Predictive and Cognitive Analytics. Dashboards.
Data Mining: The Importance of Data and Data Mining. The Data Mining Process. Data Mining Tools— Extract, Transform, Load (ETL). Data Mining Tools—Relational Databases and SQL. Data Mining Tools—CRISP-DM.
Data Storage and Security: Data Warehouses. Cloud Computing. Data Security.
Artificial Intelligence: Types of Artificial Intelligence. Machine Learning and Deep Learning. Supervised and Unsupervised Learning. Natural Language Processing.
Selecting and Implementing New Technology: Steps to Selecting New Technology. Total Cost of Ownership. Implementation Best Practices. Employee Skills.
What Is the Internet of Things? Defining IoT. Evolution of IoT.
Visibility and the Need for Track and Trace: Supply Chain Visibility. What Is Track and Trace. Barcoding and QR Codes. Radio Frequency Identification (RFID). Types of RFID. Not Just “Where Is My Package”—The Importance of IoT. IoT and Data Regulation.
Technology Needed for IoT: The Cloud. Data Capture and Translations. Data Transmission. Data Access and Actionability.
IoT Infrastructure: What Is an IoT Platform? Enablement. Device and Software Management. Data Synchronization. Application Programming Interfaces (APIs). Data Streaming .Event Management. Accessibility to IoT Data Feeds. Data Intelligence and Analytics. Big Data Sets. Edge Computing.
Digital Twins: What Is a Digital Twin? More than Just Sensor Data. Containerization. IT/OT Convergence.
IOT and Business Segment Applications: Integration of IoT into Business Sections. Shop Floor and Field Operations Visibility. Predictive Maintenance. Remote and Outsourced Operations. Retail. Challenges to Implementation: Financial Impact. Cybersecurity. Data Sovereignty.
What Is Cybersecurity? Evolution of Cybersecurity. Cybersecurity Inside the Organization. Cybersecurity—Who, What, Why, and How? Cybersecurity in Supply Chain and Other Business Relationships.
Cybersecurity Governance: Why Have Cybersecurity Governance Programs? What Should Cybersecurity Governance Programs Look Like? Why Do Cybersecurity Governance Programs Fail?
Cybersecurity Risk Assessment, Management, and Mitigation: Risk Assessment. Risk Management. System-Related Risk Mitigation. Non-System-Related Risk Mitigation.
Enterprise Cybersecurity Education: Employee Training. IT Education and Cybersecurity Training. Cybersecurity Risk Training across Supply Chain Partners.
Network Access Controls and Monitoring Methodologies: Network Access Control Solutions. Network Access Control—Employees. Network Access Control—Suppliers and Business Partners. Monitoring Methodologies.
Redundancy, Firewalls, and Anti-Hacking Technology: Redundancy and Methods to Achieve It. Firewalls. Anti-Hacking Technology.
The Importance of Demand Planning Technologies in Supply Chain: What is Demand Planning? Demand Planning Technologies.
Essential Steps in Forecasting Demand: Steps in the Forecasting Process. Determining What to Forecast. Sources of Data for Forecasting. A Smartphone Accessory Retail Case Study.
Forecasting Methods Used in Supply Chain: Types of Forecasting Methods. Judgmental Forecasting Method. Statistical Forecasting Method. Combination Forecasting Method. Choosing the Right Forecasting Method.
The Future of Demand Planning: Elements of Demand Planning. Why is Demand Planning Important? Methods of Demand Planning Using Technology. Machine Learning (ML) For Better Demand Predictions. Streamline Forecasting Processes with AI. Role of IoT in Demand Planning. Social Media and User-Generated Online Traffic Data. Time Series Forecasting: Use Cases. Technology Company Forecasting Problem. Traditional Planning versus Technology Planning.
Reliability of Forecasting: Sources of Forecasting Errors and How to Reduce Them. Types of Errors.
The Role of Demand Planning in Inventory Control: How Demand Planning Fits within Inventory Control. Methods of Inventory Control. Strategies Used in Production Planning and Scheduling. Production Environments.
What Is Additive Manufacturing? What Is Additive Manufacturing (3D Printing/Rapid Prototyping)? The Additive Manufacturing Process. Hybrid Manufacturing. Benefits of Additive Manufacturing.
Implementing Additive Manufacturing: Additive Manufacturing—Still an Emerging Technology. Various Types of Additive Manufacturing. Materials Used in Additive Manufacturing.
Additive Manufacturing and Supply Chain: Prototypes. Inventory Implications. Distributed Manufacturing. Microfactories. Portability. Customization. Current Uses of Additive Manufacturing. Vision for Additive Manufacturing in the Future.
Challenges of Implementing Additive Manufacturing: Limitations of 3D Printing Today. In-house versus Outsourcing.
When to Use and When Not to Use 3D Printing: When Is 3D Printing the Right Choice? When Is 3D Printing Not the Right Choice? What to Expect in the Future?
Symix ASCM (APICS) Premier Channel Partner offers certification preparation classes led by internationally recognized ASCM (APICS) qualified instructors in multiple locations.
For companies seeking in-house training for their employees we offer certification preparation classes at time and place convenient for your organization.
APICS (ASCM) exams are delivered via computer-based testing MPR(CBT) at Pearson VUE test centers, which are located around the world.
The exam is computer based in English and the questions are closed (you can choose from several answers).
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