Gen AI Driven Value Engineering for Enhanced Business Performance & Innovation
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- Curriculum
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Gen AI Driven Value Engineering for Enhanced Business Performance & Innovation
Unlock the full potential of your projects with our “Gen AI Driven Value Engineering for Cost Optimization, Innovation, and Strategic Advantage” course. Designed for professionals in high-stakes industries such as construction, infrastructure, and aerospace, this two-day intensive course equips you with advanced value engineering techniques enhanced by cutting-edge Generative AI technology.
Gen AI Driven Value Engineering Training Highlights:
Strategic Role of Value Engineering: Understand how value engineering creates competitive advantages through innovation and cost optimization while aligning with your organization’s broader business objectives.
Advanced Function Analysis: Dive deep into the Function Analysis System Technique (FAST) to analyze and improve complex systems, identifying critical functions that impact cost, time, and quality.
Driving Innovation: Harness advanced creativity tools like TRIZ and lateral thinking, integrating Generative AI for effective idea generation and problem-solving to foster a culture of innovation.
Implementation Strategies: Learn how to embed value engineering principles in large-scale projects, effectively managing stakeholder dynamics and overcoming implementation challenges.
Optimizing Sourcing and Supply Chain: Apply value engineering to strategic sourcing, utilizing AI to enhance procurement and supplier relationships, resulting in significant cost savings.
Risk Management and Sustainability: Get equipped with AI-driven risk management techniques while incorporating sustainability objectives within value engineering practices.
Measuring Success: Develop advanced KPIs to track the success of value engineering initiatives and build a continuous improvement framework across your organization.
What You Will Gain:
- Actionable insights on integrating Generative AI with value engineering.
- Practical tools and frameworks for cost optimization and innovative problem-solving
- Real-world case studies demonstrating successful value engineering implementations. leveraging Gen AI
- Networking opportunities with industry professionals to share best practices.
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Understanding the Strategic Importance of VE- Discuss the evolving role of value engineering in high-stakes, capital-intensive industries (e.g., construction, infrastructure, aerospace).
- Explore how VE contributes to innovation, cost savings, and sustainability.
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Linking Value Engineering to Business Objectives:
- Aligning VE with profit maximization, risk reduction, and fostering innovation.
- Understanding the integration of VE into project lifecycles and decision-making.
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Complex Function Analysis Techniques:
- Deep dive into the Function Analysis System Technique (FAST) for complex systems.
- Understanding critical functions and their impact on cost, time, and quality
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Function-Cost Analysis in High-Stakes Projects:
- Techniques to effectively assess function-cost relationships in projects.
- Real-world applications targeting high-cost, low-value areas in complex environments.
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5
Advanced Innovation Techniques in VE:
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- Applying creativity tools (TRIZ methodology, lateral thinking) to enhance VE and using Generative AI for idea generation and evaluation
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6
Design to Cost (DTC) in Advanced Value Engineering:
- Integrating Design to Cost principles within product development.
- Balancing performance, functionality, and cost considerations.
- Demo use cases :
- -generative design tools powered by AI to generate design alternatives that meet both performance and cost targets.
- -Use of digital twins to virtually simulate and test product designs for cost optimization before physical prototyping.
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Embedding VE into large-scale, multi-stakeholder projects to ensure alignment and effectivene
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- Strategic Implementation of VE in Large Projects:-Embedding VE into large-scale, multi-stakeholder projects to ensure alignment and effectiveness.
- Leveraging predictive analytics to foresee implementation challenges and monitor progress.
- visualization and tracking VE impact.
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Stakeholder Engagement and Change Management:
- Managing complex stakeholder dynamics while implementing VE.,effective strategies for Buy in of VE initiatives and leverage of profiling and collaborative tools
Course Title : Gen AI driven Value Engineering for Business Pefomance and Innovation
Duration - 2 days FTE
Course structure 5 modules + Capstone project
Drlivery : In person/Virtual
Methods Interactive delivery.workshops..Case Studies,demos and hands on application
This course is ideal for project managers, operations leaders, product developers, and engineers looking to leverage value engineering and Generative AI to drive performance, enhance innovation, and achieve strategic advantage in their projects.
