We are thrilled to have you on board for this course
● 6th January– 21st January’ 2024
● 5 PM - 7:30 PM IST
● Every Saturday and Sunday
● 15 hours duration
MIT Professor – Business & Supply Chain Analytics
Director, Data Science Lab,
Massachusetts Institute of Technology, USA
Director, IIM Mumbai
Today, supply chain executives face multiple challenges. First, inflation is hitting companies bottom line. It increases the cost of economic inputs-energy, labor, material and transportation; it decreases consumer power and demand; and the high interest rates, driven by the Federal Reserve attempt to control inflation, increases the cost of capital and hence the cost of inventory.
Second, supply chain disruptions are everywhere! From the U.S.-China trade war, the pandemic, extreme weather conditions such as hurricane Laura and winter storm Uri, all the way to the Suez Cannel blockage, fire in a semiconductor manufacturing facility in Japan and the Ukraine-Russia war, all are affecting the global supply chains.
Finally, the global labor market shortage, driven in part by the pandemic, impacts every aspect of the supply chain, from manufacturing and transportation all the way to the ability to plan and innovate the entire business.
At the same time, a new technology, Generative AI, has emerged with the promise to change the way business is done in general and supply chain in particular. In this course, we will demonstrate how Generative AI fundamentally change the way decision makers manage and operate complex supply chains. We will review not only the technology itself, but also application for revolutionizing demand forecasting, procurement, inventory management, supply chain collaboration and pricing decisions. We provide real-world case studies the demonstrate the impact of the technology on supply chain and business performance.
Lecture recordings will be provided for 1 week
Learn decision making techniques through exhaustive case studies
Perform Real-time Simulation to build and optimize global supply chains
Lecture slides and supplementary material after each session
Comprehend the concepts of Deep Neural Network, GPT-3, and GPT-3.5 and their applications in the field of Supply Chain Management.
Understand the potential of Generative AI in enhancing Demand Forecasting and Inventory Management processes.
Conduct a thorough case study analysis focusing on Retail, Consumer Packaged Goods (CPG), and Hi-Tech industries.
Apply Generative AI in Revenue Management using Transformers and LSTM Architectures
How Generative AI Works?
GPT-3, Deep Neural Network and Transformer
The Challenges of GPT-3
GPT-3.5 and Supervised Learning
ChatGPT and Generative AI
Demand Forecasting
Inventory Management
Procurement Optimization
Transformer and Image Processing for Supply Chain Decisions
Supply Chain Resiliency
Case studies: Retail, CPG, High-Tech
Transformer and LSTM Architectures
Demand Forecasting with Transformer
Integration of Transformer with Price Optimization
Case Study: Zalando
Prof. David Simchi-Levi is the Professor for Business & Supply Chain Analytics and the Director of Data Science Lab at Massachusetts Institute of Technology, USA.
He is the former Editor-in-Chief of the INFORMS journals, Management Science & Operations Research, and a member of the board for several scientific journals including Transportation Science and Telecommunication Systems, and a former Area Editor of Transportation for Operations Research.
Prof. Simchi-Levi founded LogicTools, now a subsidiary of IBM, which provided software solutions and decision support systems to clients such as Caterpillar, ConAgra, Kraft Foods, Mercer Management, Ryder, SC Johnson, UPS, U.S. Postal Service, Walgreens, etc., and later co-founded OPS Rules, and Opalytics, both now part of Accenture.
Prof. David Simchi-Levi had associated with IIM Mumbai for multiple Global Online Certification Courses on Supply Chain Management & Emerging Technologies which were highly successful with over 18000+ participants from 18+ countries.
Profile on MIT website - https://cee.mit.edu/people_individual/david-simchi-levi/
LinkedIn Profile - https://www.linkedin.com/in/david-simchi-levi-3045026/