Revolutionizing Supply Chain Fulfillment

Workshop Title : Revolutionizing Supply Chain Fulfillment with Machine Learning and AI

Presenter: Mr. Amit Dubey, Data Science Manager, Agilent Technologies, Seattle, WA

Abstract:

In today’s fast-paced global economy, efficient supply chain management is crucial for business success. This workshop explores the transformative potential of Machine Learning (ML) and Artificial Intelligence (AI) in optimizing supply chain fulfillment processes in aerospace. We will discuss how these technologies are reshaping traditional approaches, leading to increased efficiency, reduced costs, and improved customer satisfaction.

Key Topics (30 mins):

  • Overview of ML and AI in Aerospace Supply Chain Management
    • Brief introduction to ML and AI concepts
    • Current state of adoption in the Aerospace industry
  • Applications in Supply Chain Fulfillment
    • Demand forecasting and inventory optimization
    • Route optimization and logistics planning
    • Warehouse automation and robotics
    • Predictive maintenance for equipment
  • Benefits and Challenges
    • Improved accuracy in demand prediction
    • Real-time decision-making capabilities
    • Data integration and quality issues
    • Ethical considerations and job displacement concerns
  • Case Studies
    • Success stories from Boeing
    • Lessons learned and best practices
  • Future Trends
    • Integration with scanners and real time DB, IoT
    • Advanced analytics and prescriptive AI
    • Sustainable supply chain management

Interactive Demo (20 mins):

To bridge the gap between technical and semi-technical attendees, I will present an interactive demonstration of a simplified ML model for demand forecasting. This demo will:

  • Visualize historical sales data and identify patterns
  • Showcase how a basic ML algorithm processes this data
  • Demonstrate batch predictions based on various input scenarios
  • Allow attendees to manipulate variables and observe outcomes

The demo will be designed to be accessible to non-technical participants while providing insights into the underlying technology for those with a technical background.

Conclusion:

This workshop aims to provide a comprehensive understanding of how ML and AI are revolutionizing supply chain fulfillment. Attendees will gain insights into current applications, potential benefits, and challenges, as well as a glimpse into future developments. The interactive demo will offer a hands-on experience, making complex concepts tangible for all participants, regardless of their technical expertise.

Tools:

  1. Sample data from Kaggle or UCI website
  2. mySQL community edition (open source license)
  3. pycharm or jupyter notebook (free/ open source community edition)
  4. Microsoft Excel
  5. BI tool for visualization – per users need

Presenter Bio:

Mr. Amit Dubey, Data Science Manager, Agilent Technologies, Seattle, WA

Experience: 20+ years in Aerospace, Banking, Telecommunication, Management Consulting, E-Commerce, and Digital Marketing

Companies Worked At: Agilent Technologies, Boeing, Airbus, Nortel Networks, Chase Payment Tech, Fiserv, Egon Zehnder

Areas of Expertise: Machine Learning, Deep Learning, Artificial Intelligence, Enterprise Data Management, Digital Transformation, ML ops, Digital Marketing, Business Intelligence