Workshop Date

Shanghai:
Nov 7 – 8, 2025
9:00 AM – 5:00 PM
(lunch included)

Hong Kong:
Nov 10 – 11, 2025
9:00 AM – 5:00 PM
(lunch included)

Format

In-person  (English medium of instruction)

Fee

Regular Rate:
HKD 18,500 

Corporate Rate:
HKD 11,800

Enhance your skills together with your colleagues! Email us at hkinnovationnode@mit.edu to get more information on group pricing. 

Status

Accepting applications
until October 29, 2025

Overview

Supply chains are central to virtually every aspect of modern economic life. Driven by an unprecedented array of disruptions, its underlying architecture is rapidly changing the global economy. Businesses across industries must adapt for endurance, become more agile and robust, and processes will need to be digitally enabled.

With MIT’s two-day executive training in Leading the AI Supply Chain Revolution, led by renowned MIT faculty and global operations management expert, Professor Charles Fine, you will gain cutting-edge insights into core principles and practices of supply chain leadership, learn how to leverage AI-powered tools to design modern supply chain transformation, support decision-making through scenario thinking, and generate an executable game plan to thrive in volatility.

Faculty Team

Charles Fine
Chrysler LGO Professor Massachusetts Institute of Technology (MIT)

Charles Fine is the Chrysler Leaders for Global Operations Professor of Management at the MIT Sloan School of Management. From 2015 to 2023, he has also served as CEO, President, and Dean of the Asia School of Business (in Kuala Lumpur), established in collaboration with MIT Sloan.

His research focuses on supply chain strategy and value chain roadmapping, with a particular focus on fast-clockspeed manufacturing industries. Fine’s work has supported design and improvement of supply chain relationships for companies in electronics, automotive, aerospace, communications, and consumer products. His work has also examined outsourcing dynamics, with a focus on dynamic models for assessing the leverage among the various components in complex industrial value chains and the principles for value chain design, based on strategic and logistical assessments.  Most recently, he works in the area of operations strategy for early-stage, entrepreneurial organizations.

At MIT Sloan, he has taught Operations Strategy and Supply Chain Management. Fine teaches and consults widely with numerous global clients. He has served on the board of directors for Greenfuel Technologies Corporation, a biotechnology company that he cofounded, which focused on renewable energy. Fine has also served for 17 years as codirector of an executive education program, Driving Strategic Innovation, which is a joint venture between MIT Sloan and IMD in Lausanne, Switzerland. 

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Shardul Phadnis
Professor
Asia School of Business

Dr. Shardul Phadnis is a Professor of Operations and Supply Chain Management at the Asia School of Business. His research explores the intersection of supply chains and strategic management: (a) how organizations create value by orchestrating supply chain operations and (b) how strategy processes, such as scenario planning, influence the adaptability of supply chain infrastructures and processes.

His research has been published in leading journals in both disciplines, such as Strategic Management Journal, Academy of Management Perspectives, Technological Forecasting & Social Change, Production and Operations Management, Journal of Business Logistics, MIT Sloan Management Review, and several others. His book “Strategic Planning for Dynamic Supply Chains: Preparing for Uncertainty Using Scenarios” (Palgrave Macmillan, 2022) describes first-hand accounts of scenario planning applications in three in-depth cases of strategic/long-range planning in business and governmental planning organizations. Shardul is a member of the editorial board of Futures & Foresight Science and regularly peer-reviews research for leading management journals and academic conferences.

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  • Understand your company’s current readiness and how effectively it can adapt and innovate amidst AI-driven change, shifting geopolitical landscapes, fragmented global markets, social media influencers, and sustainability concerns

  • Champion scenario thinking as a proven methodology to understand how your industry may evolve and support decision-making  

  • Gain core principles and practices of supply chain leadership to generate a game plan to strengthen your own strategy

  • Develop insights into leveraging ecosystems and partnerships to accelerate digital transformation

  • Build greater resilience and preparedness for future disruptions

  • Earn a certificate from MIT Hong Kong Innovation Node

  • Executives and entrepreneurs who are looking to access new strategies and tools to build a resilient supply chain

  • Business and functional leaders who are keen on exploring how each link in the supply chain can drive growth, foster innovation, enhance resilience, and establish market leadership

  • Strategy and business consultants who wish to develop a mindset that spans all business processes to enhance collaboration, optimize operations, and improve performance for clients

DAY 1 | 9:00 AM – 5:00 PM (lunch included) 

2025 Li & Fung Fashion Tech Summit: The Next Transformation of the Manufacturing Supply Chain (AM)
Navigating the increasingly complex global landscape by use of disruptive technological innovation
Workshop participants will join an exclusive forum spearheaded by Li & Fung Limited for leaders exploring innovation pathways amidst the complex global landscape

Session 1 (PM):
Introduction and Key Cases: Strategic Supply Chain Design

Session 2 (PM):
Apprehending Turbulent Environment Using Scenario Planning:

  • Framework and Scenario Process
  • Project Scope and Local Factors

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DAY 2 | 9:00 AM – 5:00 PM (lunch included)


Session 3 (AM):
Driving Force Assessment (AI-enabled)

Session 4 (AM): Scenario Development (AI-enabled)

Session 5 (PM): Strategic Supply Chain Design Using Scenarios

Session 6 (PM): Monitoring and Adaptation (AI-enabled)

Conclusion

Full Payment of Program Fees:
The workshop fee is due in full upon application. To secure your place in the Workshop, please ensure timely payment through the Stripe payment platform. Detailed payment instructions will be emailed to you upon submission of your application.

Cancellation Policy:
We understand that circumstances may change, and you may need to cancel your participation in the Workshop. Please take note of our cancellation policy.

Cancellation within 48 hours after Payment:
Within 48 hours after payment, you can apply for a refund (less an administrative fee of 5%) in writing. Please email us at hkinnovationnode@mit.edu

Cancellation Prior to the Course Commencement Date:
A 50% refund of workshop fee (less an administrative fee of 5%) is available for cancellation received in writing on or before October 10, 2025. Please email us at hkinnovationnode@mit.edu

Cancellation ON Workshop Commencement:
Once the workshop has commenced, no refunds will be issued for any reason. We kindly request that you carefully consider your commitment to the workshop before it begins.

We value your commitment and cooperation in adhering to our cancellation and payment policies. These policies are necessary to maintain the financial stability of the MIT Hong Kong Innovation Node and to ensure a successful and impactful workshop for all participants.

Should you have any questions or concerns regarding the cancellation policy or any other aspect of the workshop, please do not hesitate to reach out to us at hkinnovationnode@mit.edu

Application Deadlines

Final Application Deadline: October 29, 2025