Tauber student teams uncover significant savings for sponsoring companies – and champion major improvements in project fields such as data analytics, sustainability in operations, supply chain, and strategy.
The 2021 Tauber team projects resulted in $989 million in savings according to sponsoring company calculations, an average of $43 million per project over three years.
Since 1993, more than 115 companies have sponsored team projects. See the leading companies and executives that are part of our Industry Advisory Board.
The Tauber Institute develops and delivers superior talent utilizing the strengths of Michigan’s top-ranked business and engineering schools overlaid with a comprehensive leadership development program.
Companies interested in sponsoring a team project can contact Marketing Manager Theresa Ceccarelli or Team Project Manager Charmayne Wiley.
This diversity of business and engineering graduate students working and learning together, supported by U-M coaches, faculty, industry, and staff, produces outstanding results for today's greatest operations challenges.
Our students have many opportunities to practice their leadership skills by actively participating in various boards and committees.
This project aimed to identify upstream systems and downstream Fulfillment Center opportunities to increase Sort Center Inbound (SCIB) trailer utilization by 5% across the network.
The scope of the Quality Transformation project is to understand the impact that quality levers have on the stability and quality of the Boeing production system. Included in the scope is the creation of a model that forecasts defects produced on the 787 production line based on historic manufacturing and quality data and current environmental conditions.
The goal of this project is aligned with the long-term vision of eliminating Inventory Control and Quality Assurance (ICQA) from Fulfillment Centers in the Amazon Robotics (AR) Sortable network.
The Tauber team developed a custom forecasting methodology for accessories, raising forecast accuracy from 51% to 83%. The methodology was created using trend analysis of past sales data on a regional level, in combination with vehicle sales estimates. The team also developed an inventory management policy to guide all inventory related business practices. The new inventory management policy garners value through reducing obsolescence costs, air-freights costs, lost sales, etc.
