Skip Navigation Links.

Team Project Descriptions

A representative selection of 2017 team project descriptions:

3M –  The objective of this project is to optimize the global abrasives extended value stream of 3M's Automotive Aftermarket Division. Through the use of manufacturing engineering and lean principles, the team will identify opportunities to reduce lead time, cycle time and backorder level. Overall efforts are aimed at increasing market responsiveness and reducing supply chain costs.

AM General – The project is helping the company AM General to establish a supply chain and reduce operating costs for an upcoming project bid. The project will be an intensive 14 week analysis in an effort to make AM General's bid as competitive as possible.

Amazon Cross Dock – The Amazon Cross-Dock project aims to simulate and predict incoming product volume and mix at cross-dock locations in order to enhance labor planning and associate productivity. Through reliable and accurate prediction, the team seeks to control supply chain variability, reduce costs, and balance inbound associate work load.

Amazon FBA MWS –  FBA Sellers create inbound shipments in one of three ways, Seller Central, MWS APIs and Scan and ship. MWS APIs contribute to 3% of the Sellers inbound 9% of overall inbound units. MWS APIs enable scalable, automated shipment creation and is typically used by large sellers or integrators who in turn support other sellers. During the last few years, FBA has grown 400% and with the growth our demographics of Sellers have changed from small to extremely efficient warehouse operations. Amazon strives to provide toolsets to Sellers that constantly strives to reduce the inbound supply chain cost. The vision for new and improved MWS APIs can be approached in 2 parallel paths, and projects require intern to close the existing parity gaps with MWS API as well as design a new single-piece workflow for MWS APIs. Efficient operations let Sellers price the products competitively on, thereby spinning the fly-wheel faster (if not aware, please google Amazon flywheel). However, enabling the flywheel to spin faster, requires disrupting FBA’s current inbound shipping methodology. As an intern, you are required to contribute to business requirement document, have conversation with partners in technology, business and overlook the implementation of inbound systems of FBA products.

Amazon Truck Utilization –  Each year, tens of thousands of trucks transport Amazon products millions of miles between Amazon facilities.  The objective of this project is to reduce the total vehicle miles traveled (VMT) and related transportation expenditures and greenhouse gas emissions by increasing outbound Amazon trailer utilization, through examination of data including capacity, demand forecasting, truck scheduling, and rationalization of Critical Pull/Entry Times (CPTs/CETs). This project is strategic for Amazon’s customers because it will reduce logistics costs by millions of dollars, allowing Amazon to offer more competitive prices to customers while reducing the environmental impact of the logistics model.

Boeing Supplier  –  As Boeing’s rate of production increases, the need to assess their suppliers’ ability to keep up with demand becomes critical. This is especially true for raw materials because Boeing is the world’s largest purchaser of titanium and high-grade aluminum. However, the current method Boeing utilizes for assessing the risk of its suppliers does not translate well for raw material producers. We are tasked with identifying potential risks to Boeing from raw material suppliers and rearchitecting the process and system to quantify these risks.

Cardinal Health – Conduct a strategic assessment of additional service offerings to increase OptiFreight’s customer value. This is part of OptiFreight’s overall strategy to partner with customers to control and reduce costs by leveraging its expertise, scale, and data driven insights to deliver comprehensive logistics solutions

Dell – Committed to a legacy of good, and seeing an opportunity to make an impact on both the environment and the financial bottom-line, Dell is pioneering an innovative supply chain that would intercept discarded plastic bound for the oceans, recycle it into a usable form, and incorporate that plastic into their packaging and potentially products. The problem posed to the Tauber Team is to establish this supply chain in Southeast Asia, following a pilot model currently used in Haiti, that will allow Dell to scale up their ocean plastic sourcing ten-fold from the current 16,000 pounds per year to 160,000 pounds per year. This will require the Tauber students to research types of plastics available for use, develop a method to certify their viability, establish a chain of custody through gathering and production, and determine the cost-effectiveness of the supply.

Ford Motor Company – This project aims to develop a cross-functional design process to maximize Design-for-Assembly (DFA) cost savings for the interior of the next generation Ford Mustang.  In addition to maximizing DFA cost savings, this design process will also streamline the workflow between design, industrial, and manufacturing engineering groups while enabling them to achieve their respective goals and priorities.

Fresenius Value Stream – The purpose of the Fresenius Value Stream Lean Transformation project is to improve internal and external service levels of the Concord site. The team will create a current state value stream map to determine areas of improvement and identify root causes. The project deliverables include short-term implementations to improve the service level at the same or at a lower cost, as well as a long-term strategic plan for continuous improvement. The expected results of this project include reduction in line downtime, decrease in lead time, decrease in system costs, and increase in service level.

General Mills –  The General Mills Tauber Team has been tasked with reviewing the company's supply chain for robustness and resiliency. Through data review, value-stream mapping, and interviews, the team will identify the aspects of General Mills' supply chain that are most vulnerable to disturbance, prove out the risk points through advanced analytics and recommend actions to limit these variabilities. The aim of the project is to enable General Mills to effectively serve their customers by identifying and quantifying risk points in the supply chain, and recommend a process for continual robustness evaluation.

General Motor Company Supply Chain – The project with GM Supply Chain is to analyze the total landed cost of bringing the logistics for sourcing the steel and aluminum raw materials in house, and compare that to its current logistic structure in order to determine the best course of action for the company. The project will cover the entire network for General Motors North America (GMNA).

Microsoft Licensing – Microsoft’s mobile-first, cloud-first strategy provides users with a rich digital experience that is architected by its Azure cloud services. As the global IT market undergoes transformation by the growing presence of born-in-cloud vendors, it is increasingly vital for Microsoft to evolve its core go-to-market strategy to support more complex and agile service offerings. This Tauber project will evaluate current segmentation strategy and develop refined methods to identify and analyze strategically important customer segments and their lifecycle value. These refinements will help track price and profitability performance metrics as part of the modernization effort for Microsoft’s pricing and licensing approach

Pfizer – The project aims to increase the utilization of Pfizer's Portable Continuous Miniature, and Modular (PCMM) technology through the development of standard work processes, identification of key performance indicators, and assessment of various demand scenarios

Stanley Black & Decker – Stanley Engineered Fastening, a leading manufacturer and supplier of fasteners for the automotive industry, recently improved their Chesterfield plant utilizing Smart Factory technology and real-time data. They are now looking to the Tauber team to utilize similar methods to increase distribution center equipment uptime, decrease employee overtime and reduce unnecessary movement and handling of product. The team has a goal of achieving a 20% increase in productivity within the distribution center.

Target – Target’s online, direct to guest fulfillment is a central component of Target’s overall strategy. The company is currently leveraging its vast store infrastructure to fulfill a growing subset of guest orders directly from stores rather than through a traditional warehouse network. Due to the rapid deployment of this strategy, there is opportunity to optimize the in-store pack stations for improved pack quality, and increased productivity. This project aims to evaluate the current stores pack process, pack-station layout, and materials while optimizing for customer experience through reduction in the damaged shipment rate, and productivity or cost metrics. The overarching success factors for this project are reduced supply chain cost and increased customer satisfaction and guest experience.

Whirlpool – The goal of this project is to develop a framework that will allow Whirlpool to reduce global manufacturing costs, improve overall product quality, reduce defect rate, and improve manufacturing equipment uptime by reducing variability through improved predictive capabilities powered by big data.  The findings from this project will be used to make strategic assessments for future opportunities and expand advanced data analysis techniques across some of Whirlpool’s most advanced manufacturing facilities.


My iMpact Search/Sitemap Accessibility Features Privacy Statement University of Michigan - HOME
2017 Stephen M. Ross School of Business at the University of Michigan.