AI for Supply Chain and Manufacturing Logistics Training Course

This instructor-led, live training in Taiwan (online or onsite) is tailored for intermediate to advanced-level supply chain professionals seeking to enhance 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-driven predictive maintenance leverages machine learning and data analytics to anticipate equipment failures and optimize maintenance schedules. This approach shifts organizations from reactive maintenance models to proactive strategies, resulting in improved uptime, reduced costs, and extended asset lifespan.

This instructor-led training, available online or onsite, is designed for intermediate-level professionals seeking to implement AI-driven predictive maintenance solutions within industrial environments.

Upon completing this training, participants will be able to:

• Distinguish between predictive maintenance and reactive or preventive maintenance strategies.
• Gather and organize machine data for AI-driven analysis.
• Utilize machine learning models to identify anomalies and forecast equipment failures.
• Deploy end-to-end workflows that transform raw sensor data into actionable insights.

Course Format

• Interactive lectures and discussions.
• Practical exercises and case studies.
• Live demonstrations and hands-on data workflow practice.

Customization Options

• To request tailored training for this course, please contact us to make arrangements.

Leveraging AI for Process Optimization involves utilizing machine learning and data analytics to boost efficiency, enhance quality, and increase throughput in manufacturing settings.

This instructor-led live training, available online or onsite, is designed for intermediate-level manufacturing professionals seeking to apply AI techniques to streamline operations, minimize downtime, and foster continuous improvement.

Upon completion of this training, participants will be able to:

• Grasp AI concepts pertinent to manufacturing optimization.
• Gather and prepare production data for analysis.
• Deploy machine learning models to pinpoint bottlenecks and forecast failures.
• Visualize and interpret results to facilitate data-driven decision-making.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Practical implementation within a live-lab environment.

Course Customization Options

• To request customized training for this course, please reach out to us to make arrangements.

AI for Quality Control employs computer vision and machine learning techniques to identify defects, anomalies, and deviations in production processes.

This instructor-led live training (available online or onsite) targets beginner to intermediate quality professionals who aim to leverage AI tools to automate inspections and enhance product quality in manufacturing environments.

Upon completion of this training, participants will be able to:

• Understand how AI is applied in industrial quality control.
• Collect and label image or sensor data from production lines.
• Use machine learning and computer vision to detect defects.
• Develop simple AI models for anomaly detection and yield forecasting.

Format of the Course

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

Course Customization Options

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

The application of artificial intelligence in smart factories involves automating, monitoring, and optimizing industrial operations in real time.

This instructor-led live training (available online or onsite) is designed for beginner-level decision-makers and technical leads seeking a strategic and practical introduction to leveraging AI within smart factory environments.

Upon completion of this training, participants will be able to:

• Comprehend the fundamental principles of AI and machine learning.
• Identify key AI use cases in manufacturing and automation.
• Explore how AI supports predictive maintenance, quality control, and process optimization.
• Evaluate the steps involved in launching AI-driven initiatives.

Course Format

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

Course Customization Options

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

This AI Use Case Implementation workshop adopts a project-driven, hands-on methodology to apply machine learning, computer vision, and data analytics for resolving real-world industrial challenges, utilizing actual or simulated datasets.

Delivered as an instructor-led, live training session (available online or onsite), this program targets intermediate-level cross-functional teams aiming to collaboratively execute AI use cases aligned with their operational objectives while gaining practical experience with industrial data pipelines.

Upon completion of this training, participants will be equipped to:

• Identify and define practical AI use cases within operations, quality control, or maintenance.
• Collaborate across different roles to develop machine learning solutions.
• Manage, clean, and analyze diverse industrial datasets.
• Present a functional prototype of an AI-enabled solution based on a selected use case.

Course Format

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

Course Customization Options

• To request customized training 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) targets supply chain professionals seeking to establish effective control and oversight of their supply chain, particularly regarding 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 serve as virtual replicas of physical systems, augmented by real-time data and AI-driven intelligence.

This instructor-led live training, available either online or onsite, targets intermediate-level professionals eager to construct, deploy, and optimize digital twin models leveraging real-time data and AI insights.

Upon completion of this training, participants will be capable of:

• Comprehending the architecture and components of digital twins.
• Employing simulation tools to model intricate systems and environments.
• Integrating real-time data streams into virtual models.
• Applying AI methodologies for predictive behavior analysis and anomaly detection.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical applications.
• Hands-on implementation within a live-lab setting.

Course Customization Options

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

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

This instructor-led, live training (available online or onsite) is designed for advanced-level embedded and IoT professionals seeking to deploy AI-driven logic and control systems in manufacturing environments where speed, reliability, and offline operation are paramount.

Upon completion of this training, participants will be capable of:

• Grasping the architecture and advantages of edge AI systems.
• Constructing and optimizing AI models for deployment on embedded devices.
• Utilizing tools such as TensorFlow Lite and OpenVINO for low-latency inference.
• Integrating edge intelligence with sensors, actuators, and industrial protocols.

Course Format

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

Course Customization Options

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

Global Supplier Management serves as a strategic approach to sourcing products and services from international markets, with the goal of enhancing competitiveness, reducing expenses, and accessing innovative solutions.

This instructor-led live training, available both online and onsite, is designed for procurement and supply chain professionals ranging from beginner to advanced levels who aim to develop and qualify suppliers in China while effectively managing the challenges of global sourcing.

Upon completion of this training, participants will be able to:

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

Course Format

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

Course Customization Options

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

AI-driven industrial computer vision is revolutionizing the way manufacturers and QA teams identify surface defects, verify part compliance, and automate visual inspection workflows.

This instructor-led, live training (available online or onsite) targets intermediate to advanced QA teams, automation engineers, and developers aiming to design and deploy computer vision systems for defect detection and inspection using AI methodologies.

Upon completion of this training, participants will be capable of:

• Gaining a comprehensive understanding of industrial vision system architecture and components.
• Developing AI models for visual defect detection utilizing deep learning techniques.
• Integrating real-time inspection pipelines with industrial cameras and devices.
• Deploying and optimizing AI-powered inspection systems within production environments.

Course Format

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

Course Customization Options

• For customized training requests 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 session in Taiwan (online or onsite) targets managers seeking to streamline their organization's supply chain, encompassing internal operations and relationships with customers, suppliers, contract manufacturers, logistics service providers, and other partners.

Smart robotics integrates artificial intelligence into robotic systems to enhance perception, decision-making, and autonomous control.

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

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 collaborative and industrial robots.
• Deploy learning-based control strategies for real-time decision making.
• Integrate intelligent robotic systems into smart factory workflows.

Format of the Course

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

Course Customization Options

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