Generative AI for Supply Chain Professional (Synchronous E-learning)
About This Course
Today's business climate expects a collaborative, intelligent, and resilient enterprise to mitigate all types of disruptive sourcing constraints and fulfillment bottlenecks to compete sustainably in manufacturing and supply chains. This necessitates augmentation and capitalizing on AI-driven supply chain optimization to deliver at the right cost using the right resources and maintaining business resiliency. This course is designed to help manufacturing businesses to:
• Identify and Manage Constraints in Supply Chain Operations: Companies need to acquire skills to identify production constraints and apply AI-driven predictive analytics to manage and overcome these constraints. This process includes implementing more insightful reporting and metrics, identifying production constraints, applying AI-driven predictive analytics, and learning Generative AI tools for accurate demand forecasting and supply planning.
• Optimize Demand and Supply Planning Using AI Tools: To address performance gaps, companies should learn to use Generative AI tools for accurate demand forecasting and effective supply planning. This involves enhancing collaboration effectiveness and data utilization in supply chain operations by utilizing business intelligence and analytics, learning Generative AI concepts, and improving AI model prompt writing and testing abilities.
• Implement AI-Driven Optimization Techniques: To fill performance gaps, companies should develop expertise in using AI for optimizing supply chain performance. This also involves establishing performance measurement processes for enhancing supply chain operations, identifying production constraints, and utilizing AI-driven predictive analytics.
What You'll Learn
Optimize Demand and Supply Planning Using AI Tools
Participants will learn to relate production plans to production line operations, utilize production monitoring tools, and execute production plans efficiently. They will also be trained to identify production constraints in accordance with the production plan, allocate resources effectively to overcome constraints, and apply problem-solving techniques to resolve bottlenecks and ensure smooth supply chain operations.
Implement AI-Driven Optimization Techniques
Participants will integrate AI-driven insights into production plans, align resources with demand, and employ AI to dynamically monitor and adjust supply chain operations.
Identify and Manage Constraints in Supply Chain Operations:
Participants will review production performance using production monitoring tools and apply system-thinking to relate production plans to production line operations. They will determine follow-up actions and utilize problem-solving techniques alongside AI-driven optimization tactics to enhance overall efficiency and effectiveness of the supply chain.
Entry Requirements
Learners are assumed to:
• be at Minimum age requirement: 25 years old
• be Able to speak, listen, write, and read English with Numeracy skills at a minimum proficiency level 4 of the Employability Skills System (i.e., Workplace Literacy and Numeracy, WPLN).
Working experience and duration:
• have At least 2 years of working experience in manufacturing, engineer associates, technician, or team lead-er (PMET)
• have access to a suitable device and possess the necessary IT skills to effectively engage in Virtual Zoom sessions.