Executive Training for Supply Chain Professionals

FINeX is a new branch of Future Insights Network, focusing on Executive Education for supply chain leaders and their teams.

Through collaboration with Professor David Simchi-Levi of MIT we have now created a unique training course at the intersection of technology, innovation and change in supply chain. Together, we will deliver material that addresses the realities of the modern supply chain in a VUCA world. 

Professor Of Engineering Systems and Head of the Data Science Lab at MIT

Professor of Engineering Systems, MIT

Future Insights Network is collaborating with David Simchi-Levi to deliver practical training courses based on the research of a distinguished professor and leading mind in Supply Chain to prepare you for the future of Supply Chain.

UPCOMING COURSE MODULES

It’s a VUCA world.

What is your business doing right now to protect your supply chain from costly, unexxpected turmoil and disruption? In a time of do or die are you investing in the necessary upskilling to ensure your business thrives no matter what new, unprecedented precedent is set tomorrow? Resilience and agility are more than buzz words. They are non-optional principles that any supply chain today needs to implement as a matter of urgency. Future Insights Network has led the way in connecting thought leaders and industry professionals to address these challenges. Now we are offering FINeX training. An efficient way to drive that crucial knowledge of how to transform your supply chain right into the heart of your business.

SUPPLY CHAIN DIGITIZATION AND RESILIENCY
Led by David Simchi-Levi, Professor of Engineering Systems, MIT

  • Course Leader: David Simchi-Levi, Professor of Engineering Systems at MIT, Head of the MIT Data Science Lab
  • Duration: 4 weeks
  • Location: Online
  • Time Commitment: 3 hours per week
  • Start Dates:  April 12th 2023 / May 3rd 2023
  • Price: £2,000

FINeX is excited to offer this new executive training course module for supply chain professionals. It has been designed with the most pressing issues for the SC industry in mind. Our course convener Dr. David Simchi-Levi (Professor of Engineering Systems at MIT, Head of the MIT Data Science Lab) is an industry leader and widely regarded as having some of the most data led and practical approaches to today’s supply chain challenges. 

This first course module will focus on digital transformation. This refers to the use of Data, Analytics and Automation, which have been applied by a few innovative companies, from Apple to Amazon to Dell, to transform their businesses and achieve significant increase in revenue and profit while decreasing costs. In all these cases, the objective is to apply business analytics to transform the way the organization manages its business, from manufacturing, supply chain, marketing, and revenue optimization all the way to understanding consumer’s preference and innovating new products.

The course module itself is 3 hours per session over 4 weeks. Each weekly session will cover a key area for development Supply Chain Fundamentals, Digitization, Resiliency and Sustainability respectively.

April 12th, 2023, 2 – 5 PM GMT

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

Case Studies: Global retailer

Case Study: PC Manufacturer

Case Study: CPG network optimization

Case Study: High-Tech Manufacturer

April 19th, 2023, 2 – 5 PM GMT

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

Case Study: Global retailer

Case Study: CPG transformation

April 26th, 2023, 2 – 5 PM GMT

Supply Chain Resiliency

  • The Risk Exposure Index 
  • Supply Chain Flexibility 
  • Supply Chain Redundancy 
  • Inventory Management Strategies 

Case Study: Automotive Manufacturer Risk Management Strategy

Case Study: Risk Management at Energy and Automation Manufacturing Company

May 3rd, 2023, 2 – 5 PM GMT

Supply Chain Sustainability

  • Network Planning
  • Sustainable Supply Chain as a source of competitive advantage
  • Supply Contracts and Risk Sharing Strategies

Case Study: CPG transformation through flexibility (PepsiCo) 

Case Study: CPG transformation through redundancy

Case Study: Supply Chain Sustainability at a large CPG company

These course modules have been designed both as standalone, for the supply chain professional looking to focus on a particular area, and also as a modular series that logically integrate with each other. Each course module is individually certified upon completion by MIT Professor David Simchi Levi. In addition if you complete all four modules you will receive a Certificate of Supply Chain Mastery. Several start dates and rotating modules make this an incredibly flexible qualification to fit around your other commitments. Our first two modules are already available to book and modules three and four will be scheduled for next year.

Completion of this course module bestows a Supply Chain Digitization and Resiliency certificate signed by MIT Professor David Simchi-Levi.

The course is based upon these texts – 

  • David Simchi-Levi, Philip Kaminsky and Edith Simchi-Levi, Designing & Managing the Supply Chain, 4th Edition, McGraw-Hill, July 2021.
  • David Simchi-Levi and Kris Timmermans, A Simpler Way to Modernize Your Supply Chain, Harvard Business Review, September-October 2021.
  • Simchi-Levi, D., W. Schmidt and Y. Wei (2014), From Superstorms to Factory Fires: Managing Unpredictable Supply Chain Disruptions. Harvard Business Review, January-February 2014, pp. 96-101.
  • David Simchi-Levi, Operations Rules: Delivering Customer Value through Flexible Operations. The MIT Press, 2011.

SUPPLY AND DEMAND ANALYTICS
Led by David Simchi-Levi, Professor of Engineering Systems, MIT

  • Course Leader: David Simchi-Levi, Professor of Engineering Systems at MIT, Head of the MIT Data Science Lab
  • Duration: 4 weeks
  • Location: Online via Zoom Events
  • Time Commitment: 3 hours per week
  • Start Dates:  TBC, 2023
  • Price: £2,000

February 1-29, 2023

Supply and Demand Analytics

FINeX is excited to offer this new executive training course module for supply chain professionals. It has been designed with the most pressing issues for the SC industry in mind. Our course convener Dr. David Simchi-Levi (Professor of Engineering Systems at MIT, Head of the MIT Data Science Lab) is an industry leader and widely regarded as having some of the most data led and practical approaches to today’s supply chain challenges. 

This second course module will focus on supply and demand analytics. With the increasing availability of broad and deep sources of information — so-called “Big Data” — using this abundance of data to make better supply chain and business decisions is becoming an even more critical capability for enterprises of all types and sizes. In this course, you will learn to identify, evaluate, and capture supply chain and demand business analytics opportunities that create value. Towards this end, you will learn basic analytics methods and analyze case studies on organizations that successfully deployed these techniques in their supply chains. 

Our focus is on the applications of optimization and machine learning techniques to improve demand forecasts, especially for new product introduction, supply chain segmentation, network planning, inventory positioning, transportation mode selection (e.g., air vs. ocean), and supply chain resiliency.

We have three goals in this course. The first is to help you think critically about data and the analyses based on those data — whether conducted by you or someone else. The second is to enable you to identify opportunities for creating value in your supply chain using business analytics. The third is to help you estimate the value created using data and analytics to address an opportunity.

The course module itself is 3 hours per session over 4 weeks. Each weekly session will cover a key area for development Supply Chain Analytics Fundamentals, Digitization, Data Science and Planning respectively.

There will also be an optional onboarding and networking online session ahead of the course start date to ensure all participants are able to use the Zoom events platform and able to get the most out of the course.

Feb 1st 2023, 2 – 5 PM GMT

Supply Chain Analytics Fundamentals

  • Introduction and Course Overview
  • Introduction to Business Analytics
  • Digital Transformation
  • Supply Chain Challenges

Feb 8th, 2023, 2 – 5 PM GMT

Supply Chain Digitization

  • Optimizing Complex Decisions
  • Machine Learning Techniques: Classification, Prediction, Clustering
  • Error Analysis
  • Model Selection

Feb 15th, 2023, 2 – 5 PM GMT

Supply Chain Data Science

  • Applications of Data and Analytics in your business
  • Data Science for New Business Model
  • Data Science for Customized Offering
  • Data Science to Improve Operations

Feb 22nd, 2023, 2 – 5 PM GMT

Supply Chain Planning

  • Supply Chain Segmentation
  • Network Planning and Inventory Positioning 
  • Transportation mode selection
  • Supply Chain Resiliency

These course modules have been designed both as standalone, for the supply chain professional looking to focus on a particular area, and also as a modular series that logically integrate with each other. Each course module is individually certified upon completion by MIT Professor David Simchi Levi. In addition if you complete all four modules you will receive a Certificate of Supply Chain Mastery. Several start dates and rotating modules make this an incredibly flexible qualification to fit around your other commitments. Our first two modules are already available to book and modules three and four will be scheduled for next year.

Completion of this course module bestows a Supply and Demand Analytics certificate signed by MIT Professor David Simchi-Levi.

The course is based upon these texts – 

  • David Simchi-Levi, Philip Kaminsky and Edith Simchi-Levi, Designing & Managing the Supply Chain, 4th Edition, McGraw-Hill, July 2021.
  • David Simchi-Levi and Kris Timmermans, A Simpler Way to Modernize Your Supply Chain, Harvard Business Review, September-October 2021.
  • Simchi-Levi, D., W. Schmidt and Y. Wei (2014), From Superstorms to Factory Fires: Managing Unpredictable Supply Chain Disruptions. Harvard Business Review, January-February 2014, pp. 96-101.
  • David Simchi-Levi, Operations Rules: Delivering Customer Value through Flexible Operations. The MIT Press, 2011.

SUPPLY AND DEMAND ANALYTICS
Led by David Simchi-Levi, Professor of Engineering Systems, MIT

  • Course Leader: David Simchi-Levi, Professor of Engineering Systems at MIT, Head of the MIT Data Science Lab
  • Duration: 4 weeks
  • Location: Online 
  • Time Commitment: 3 hours per week
  • Start dates: TBC, 2023
  • Price: £2,000

FINeX is excited to offer this new executive training course module for supply chain professionals. It has been designed with the most pressing issues for the SC industry in mind. Our course convener Dr. David Simchi-Levi (Professor of Engineering Systems at MIT, Head of the MIT Data Science Lab) is an industry leader and widely regarded as having some of the most data led and practical approaches to today’s supply chain challenges. 

This second course module will focus on supply and demand analytics. With the increasing availability of broad and deep sources of information — so-called “Big Data” — using this abundance of data to make better supply chain and business decisions is becoming an even more critical capability for enterprises of all types and sizes. In this course, you will learn to identify, evaluate, and capture supply chain and demand business analytics opportunities that create value. Towards this end, you will learn basic analytics methods and analyze case studies on organizations that successfully deployed these techniques in their supply chains. 

Our focus is on the applications of optimization and machine learning techniques to improve demand forecasts, especially for new product introduction, supply chain segmentation, network planning, inventory positioning, transportation mode selection (e.g., air vs. ocean), and supply chain resiliency.

We have three goals in this course. The first is to help you think critically about data and the analyses based on those data — whether conducted by you or someone else. The second is to enable you to identify opportunities for creating value in your supply chain using business analytics. The third is to help you estimate the value created using data and analytics to address an opportunity.

The course module itself is 3 hours per session over 4 weeks. Each weekly session will cover a key area for development Supply Chain Analytics Fundamentals, Digitization, Data Science and Planning respectively.

TBC 2023, 2 – 5 PM GMT

Supply Chain Analytics Fundamentals

  • Introduction and Course Overview
  • Introduction to Business Analytics
  • Digital Transformation
  • Supply Chain Challenges

TBC, 2023, 2 – 5 PM GMT

Supply Chain Digitization

  • Optimizing Complex Decisions
  • Machine Learning Techniques: Classification, Prediction, Clustering
  • Error Analysis
  • Model Selection

TBC, 2023, 2 – 5 PM GMT

Supply Chain Data Science

  • Applications of Data and Analytics in your business
  • Data Science for New Business Model
  • Data Science for Customized Offering
  • Data Science to Improve Operations

TBC, 2023, 2 – 5 PM GMT

Supply Chain Planning

  • Supply Chain Segmentation
  • Network Planning and Inventory Positioning 
  • Transportation mode selection
  • Supply Chain Resiliency

These course modules have been designed both as standalone, for the supply chain professional looking to focus on a particular area, and also as a modular series that logically integrate with each other. Each course module is individually certified upon completion by MIT Professor David Simchi Levi. In addition if you complete all four modules you will receive a Certificate of Supply Chain Mastery. Several start dates and rotating modules make this an incredibly flexible qualification to fit around your other commitments. Our first two modules are already available to book and modules three and four will be scheduled for next year.

Completion of this course module bestows a Supply and Demand Analytics certificate signed by MIT Professor David Simchi-Levi.

The course is based upon these texts – 

  • David Simchi-Levi, Philip Kaminsky and Edith Simchi-Levi, Designing & Managing the Supply Chain, 4th Edition, McGraw-Hill, July 2021.
  • David Simchi-Levi and Kris Timmermans, A Simpler Way to Modernize Your Supply Chain, Harvard Business Review, September-October 2021.
  • Simchi-Levi, D., W. Schmidt and Y. Wei (2014), From Superstorms to Factory Fires: Managing Unpredictable Supply Chain Disruptions. Harvard Business Review, January-February 2014, pp. 96-101.
  • David Simchi-Levi, Operations Rules: Delivering Customer Value through Flexible Operations. The MIT Press, 2011.

To learn more about this course please
download our brochure

ENQUIRE

Meet David Simchi - Levi

Professor of Engineering Systems

David Simchi-Levi is a Professor of Engineering Systems at MIT and serves as the head of the MIT Data Science Lab. He is considered one of the premier thought leaders in supply chain management and business analytics.

His Ph.D. students have accepted faculty positions in leading academic institutes including U. of California Berkeley, Carnegie Mellon U., Columbia U., Duke U., Georgia Tech, Harvard U., U. of Illinois Urbana-Champaign, U. of Michigan, Purdue U. and Virginia Tech.

Professor Simchi-Levi is the current Editor-in-Chief of Management Science, one of the two flagship journals of INFORMS. He served as the Editor-in-Chief for Operations Research (2006-2012), the other flagship journal of INFORMS and for Naval Research Logistics (2003-2005). He is an INFORMS Fellow, MSOM Distinguished Fellow and the recipient of the 2020 INFORMS Impact Prize; 2014 INFORMS Daniel H. Wagner Prize for Excellence in Operations Research Practice; 2014 INFORMS Revenue Management and Pricing Section Practice Award; 2009 INFORMS Revenue Management and Pricing Section Prize and Ford 2015 Engineering Excellence Award.

He was the founder of LogicTools which provided software solutions and professional services for supply chain optimization. LogicTools became part of IBM in 2009. In 2012 he co-founded OPS Rules, an operations analytics consulting company. The company became part of Accenture in 2016.

In 2014, he co-founded Opalytics, a cloud analytics platform company focusing on operations and supply chain intelligence. The company became part of the Accenture Applied Intelligence in 2018.