Global Online Certification Course on
Competing in Business through AI-Powered Supply Chains
Welcome !
We are thrilled to have you onboard and look forward to meeting you from
29th October ’22 – 4th December ’22
Saturdays & Sundays
5:00 PM – 7:30 PM IST
Course Instructors
MIT Professor – Business & Supply Chain Analytics
Director, Data Science Lab,
Massachusetts Institute of Technology, USA
Leadership Team
About the Course
Business analytics refers to the ways in which enterprises such as businesses, non-profits, and Governments can use data to gain insights and make better decisions. Business analytics is applied in operations, marketing, finance, and strategic planning, among other functions. The ability to use data effectively to drive rapid, precise and profitable decisions has been a critical strategic advantage for companies as diverse as Dell, Walmart, Google, Nike, Capital One, and Disney.
For example, Walmart uses analytics to monitor and update its inventory in a way that allows it to serve its customers at an exceptionally low cost; Dell applied analytics to segment and better manage its supply chain; and Ford and Schneider Electric use data and analytics to significantly improve the resiliency of their supply chain and better respond to a disruption anywhere in their network.
NITIE, Mumbai and BITS Pilani, Pilani are proud to present the Global Online Certification Course on 'Competing in Business through AI-Powered Supply Chains 2022' in association with Prof. David Simchi-Levi (MIT, USA) under the leadership of Prof. Manoj K. Tiwari (Director, NITIE Mumbai), Prof. Souvik Bhattacharyya (Vice Chancellor of BITS Pilani) and Prof. Sudhirkumar Barai (Director- BITS Pilani, Pilani Campus), to accelerate the vision of PM Gati Shakti. This course is launched under NITIE's Centre of Excellence in Logistics and Supply Chain Management which aims to develop India's logistics sector through applied research and industry outreach to tackle real-time business scenarios.
National Institute of Industrial Engineering (NITIE), established in 1963 by the Government of India with the assistance of United Nations Development Project (UNDP) through the International Labour Organization (ILO), is one of the leading institutes for Management education
Today, analytics is an integral part of modern supply chain management — this course should provide you with the foundation you need to understand and apply these methods to drive supply chain value.
Course Highlights
Lecture recordings will be provided for 1 week.
Participants will get the opportunity to interact live with Prof. David Simchi-Levi.
Learn key concepts & trends through exhaustive cases & recent happenings in the industry.
Lecture slides and supplementary material after each session.
Course content
Week 1: Supply Chain Fundamentals
Introduction and Course Overview
Customer Value and Operations Strategy
Controlling the Bullwhip and the Value of Information
Supply Chain Integration
Push-Pull Strategies
Complexity Reduction
Supply Chain Segmentation
Week 2: Data Science and AI to Improve Business Decisions
Overview of Data Science and Machine Learning Techniques
Data Science for New Business Model
Data Science for Customized Offering
Data Science to improve Operations
Week 3: Supply Chain Digitization
Big Data Analytics for reengineering business processes
Supply Chain Digitization: Unified view of Demand, Segmentation, Smart S&OP, Smart Execution
Creating your digital roadmap
Prioritization Guidelines
Transformation Roadmap
Developing an effective solution architecture
Week 4: Supply Chain Resiliency
The Risk Exposure Index
Supply Chain Flexibility
Supply Chain Redundancy
Inventory Management Strategies
Week 5: Supply Chain Planning
Network Planning and Inventory Optimization
Transportation Mode Selection
Supply Contracts and Risk Sharing Strategies
Week 6: Supply Chain Sustainability
Sustainable Supply Chain as a source of competitive advantage
Optimizing Efficiency, Responsiveness and Carbon Emission trade-offs
Short-Term and Long-Term Opportunities to Reduce Carbon Emission
About Prof. DAVID SIMCHI-LEVI
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 Editor-in-Chief of the INFORMS journal, Management Science, the former Editor-in-Chief of Operations Research, Naval Research Logistics 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 NITIE for the Global Online Certification Course on Supply Chain Digitization and Management in 2021 which was a highly successful course with over 2500 participants from 13+ 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/