AI for Supply Chain and Manufacturing Logistics Training Course

This instructor-led, live training in Taiwan (online or onsite) is aimed at intermediate-level to advanced-level supply chain professionals who wish to improve demand forecasting accuracy and optimize S&OP processes.

By the end of this training, participants will be able to:

• Enhance statistical forecast accuracy and reduce demand variability.
• Implement best practices in S&OP for perishable and non-perishable products.
• Utilize advanced forecasting techniques and data analytics for demand planning.
• Optimize cross-functional collaboration between sales, operations, and supply chain teams.
• Leverage digital tools for better S&OP decision-making.

AI-powered predictive maintenance leverages machine learning and data analytics to predict equipment failures and optimize maintenance schedules. It transforms reactive maintenance practices into proactive strategies, enhancing uptime, reducing costs, and extending the life of assets.

This instructor-led, live training (available online or on-site) is designed for intermediate-level professionals looking to implement AI-driven predictive maintenance solutions in industrial settings.

By the end of this training, participants will be able to:

• Understand the differences between predictive, reactive, and preventive maintenance strategies.
• Gather and organize machine data for AI analysis.
• Use machine learning models to identify anomalies and forecast failures.
• Implement comprehensive workflows from sensor data collection to actionable insights.

Format of the Course

• Interactive lectures and discussions.
• Hands-on exercises and case studies.
• Live demonstrations and practical data workflows.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AI for Process Optimization involves the use of machine learning and data analytics to enhance efficiency, quality, and throughput in manufacturing processes.

This instructor-led, live training (available online or on-site) is designed for intermediate-level manufacturing professionals who aim to apply AI techniques to streamline operations, minimize downtime, and support continuous improvement initiatives.

By the end of this training, participants will be able to:

• Grasp AI concepts relevant to manufacturing optimization.
• Gather and prepare production data for analysis.
• Implement machine learning models to identify bottlenecks and predict failures.
• Visualize and interpret results to facilitate data-driven decisions.

Format of the Course

• Interactive lecture and discussion sessions.
• Extensive exercises and practical activities.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AI for Quality Control involves the application of computer vision and machine learning methods to detect defects, anomalies, and deviations in manufacturing processes.

This instructor-led, live training (available both online and onsite) is designed for quality professionals at beginner to intermediate levels who aim to leverage AI tools for automating inspections and enhancing product quality in production environments.

By the end of this training, participants will be able to:

• Gain an understanding of how AI is utilized in industrial quality control.
• Collect and label image or sensor data from manufacturing lines.
• Employ machine learning and computer vision techniques to identify defects.
• Develop simple AI models for anomaly detection and yield forecasting.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AI in Smart Factories involves the application of artificial intelligence to automate, monitor, and optimize industrial processes in real-time.

This instructor-led, live training (available online or on-site) is designed for beginner-level decision-makers and technical leads who want to gain a strategic and practical understanding of how AI can be utilized in smart factory settings.

By the end of this training, participants will be able to:

• Grasp the fundamental principles of AI and machine learning.
• Recognize key applications of AI in manufacturing and automation.
• Examine how AI enhances predictive maintenance, quality control, and process optimization.
• Assess the steps required to initiate AI-driven projects.

Format of the Course

• Interactive lectures and discussions.
• Real-world case studies and group activities.
• Strategic frameworks and implementation guidance.

Course Customization Options

• To request a customized training session for this course, please contact us to arrange.

AI Use Case Implementation is a practical, project-oriented approach that applies machine learning, computer vision, and data analytics to address real-world industrial challenges using actual or simulated datasets.

This instructor-led, live training (available online or onsite) is designed for intermediate-level cross-functional teams who aim to collaboratively implement AI use cases aligned with their operational goals and gain hands-on experience working with industrial data pipelines.

By the end of this training, participants will be able to:

• Identify and define practical AI use cases from operations, quality, or maintenance.
• Collaborate effectively across different roles to develop machine learning solutions.
• Manage, clean, and analyze a variety of industrial datasets.
• Showcase a working prototype of an AI-enabled solution based on a chosen use case.

Format of the Course

• Interactive lectures and discussions.
• Group-based exercises and project work.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• For customized training options for this course, please contact us to arrange.

This instructor-led, live training in Taiwan (online or onsite) is aimed at intermediate-level supply chain professionals who wish to have a comprehensive training to prepare for the Certified Supply Chain Professional (CSCP) exam. 

By the end of this training, participants will be able to:

• Gain an in-depth understanding of all key areas of supply chain management, from demand forecasting to logistics and distribution.
• Prepare for the Certified Supply Chain Professional (CSCP) exam through targeted study materials, practice exams, and review sessions.
• Apply supply chain management principles and best practices in real-world scenarios, improving operational efficiency and effectiveness.
• Learn how to identify, assess, and mitigate supply chain risks to ensure business continuity and resilience.
• Manage global supply chains, including navigating international logistics, regulatory challenges, and cultural differences.

This instructor-led, live training in Taiwan (online or onsite) is aimed at supply chain professionals who wish to establish effective control and oversight of their supply chain, especially as it relates to cybersecurity.

By the end of this training, participants will be able to:

• Understand the security oversights that can bring about significant damage and disruption to a supply chain.
• Break down a complex security problem into manageable and actionable parts.
• Address common supply chain vulnerabilities by analyzing high risk areas and engaging with stakeholders.
• Adopt best practices in securing a supply chain.
• Noticeably reduce or eliminate the biggest risks to an organization's supply chain.

Digital Twins are virtual replicas of physical systems enhanced with real-time data and AI-driven intelligence.

This instructor-led, live training (conducted online or on-site) is designed for intermediate-level professionals who aim to create, deploy, and optimize digital twin models using real-time data and AI-based insights.

By the end of this training, participants will be able to:

• Comprehend the architecture and components of digital twins.
• Utilize simulation tools to model complex systems and environments.
• Integrate real-time data streams into virtual models.
• Apply AI techniques for predictive behavior and anomaly detection.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Edge AI involves deploying artificial intelligence models directly onto devices and machines located at the network's edge, enabling real-time decision-making with minimal latency.

This instructor-led, live training (available online or on-site) is designed for advanced-level embedded and IoT professionals who aim to implement AI-powered logic and control systems in manufacturing environments where speed, reliability, and offline operation are crucial.

By the end of this training, participants will be able to:

• Understand the architecture and advantages of edge AI systems.
• Develop and optimize AI models for deployment on embedded devices.
• Utilize tools like TensorFlow Lite and OpenVINO for efficient low-latency inference.
• Integrate edge intelligence with sensors, actuators, and industrial protocols.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Global Supplier Management is a strategic approach to sourcing goods and services from international markets to enhance competitiveness, reduce costs, and access innovation.

This instructor-led, live training (online or onsite) is designed for procurement and supply chain professionals at all levels who aim to develop and qualify suppliers in China and effectively manage the challenges of global sourcing.

By the end of this training, participants will be able to:

• Understand the benefits, risks, and challenges associated with global sourcing.
• Navigate cultural differences and communication styles when working with suppliers in China.
• Identify, qualify, and manage suppliers in China according to international standards.
• Adapt procurement and bidding processes for foreign suppliers to enhance participation and success rates.

Format of the Course

• Interactive lectures and discussions.
• Case studies and real-world examples.
• Practical tools and checklists for effective supplier management.

Course Customization Options

• To request a customized training program for this course, please contact us to arrange.

Industrial computer vision enhanced by AI is revolutionizing the way manufacturers and quality assurance (QA) teams identify surface defects, verify part compliance, and automate visual inspection processes.

This instructor-led, live training (available both online and on-site) is designed for intermediate to advanced QA teams, automation engineers, and developers who aim to design and implement computer vision systems for defect detection and inspection using AI techniques.

By the end of this training, participants will be able to:

• Grasp the architecture and components of industrial vision systems.
• Develop AI models for visual defect detection using deep learning.
• Integrate real-time inspection pipelines with industrial cameras and devices.
• Deploy and optimize AI-driven inspection systems for production environments.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Taiwan (online or onsite) is aimed at beginner-level to intermediate-level supply chain managers and ERP administrators who wish to learn how to use Microsip SCM to manage and improve their supply chain processes and performance.

By the end of this training, participants will be able to:

• Understand the core concepts and benefits of Microsip SCM and its integration with Microsip ERP.
• Plan, execute, and control their supply chain processes using Microsip SCM.
• Monitor and analyze their supply chain performance and identify improvement opportunities.
• Collaborate and communicate with their suppliers, customers, and partners.

This instructor-led, live training in Taiwan (online or onsite) is aimed at managers who wish to streamline an organization's supply chain (inter-departmental and with customers, suppliers, contract manufacturers, logistics service providers, and other partners).

Smart Robotics involves the integration of artificial intelligence into robotic systems to enhance their perception, decision-making, and autonomous control capabilities.

This instructor-led, live training (available online or onsite) is designed for advanced-level robotics engineers, systems integrators, and automation leaders who are looking to implement AI-driven perception, planning, and control in smart manufacturing environments.

By the end of this training, participants will be able to:

• Understand and apply AI techniques for robotic perception and sensor fusion.
• Develop motion planning algorithms for both collaborative and industrial robots.
• Implement learning-based control strategies for real-time decision-making.
• Integrate intelligent robotic systems into smart factory workflows.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• For customized training options for this course, please contact us to arrange.