Students register for ENMGT 5910 in their final semester and teams of 2-7 graduate students are formed based on student preference and interest in available projects on the first day of class.
The project topics may include (but are not limited to): technology strategy, data analytics, sales and marketing, information exchange, cost and life cycle benefits, resource allocation, forecasting, technology road mapping or selection, strategic and tactical planning, bottom line evaluations (including triple bottom line evaluations), decision analysis and support, quality control, manufacturing, or distribution.
Strengthen Skills in a Practical Environment to Grow Your Career
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Leadership and Project Management
Often times professionals working in high velocity organizations can be great technically, but face challenges when communicating with people. Students learn to tackle complex problems within a fast-paced project, while working as part of a team.
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Data Analysis
Students hone their technical skills to identify patterns, trends, and correlations to help businesses make better decisions.
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Technology Strategy
Students work to identify areas where organizations have opportunities for greater efficiency and cost optimization, ultimately aligning their business goals with their technology capabilities.
Project Profile: Amazon Robotics
Amazon Robotics wanted to know exactly where each employee, product, and robot was within the Fulfillment Center at all times. The lack of visibility of these three different groups leads to safety concerns for their employees in emergency situations and the interaction between humans and robots. Also, giving Amazon the visibility of all products as they flow throughout the Fulfillment Center will allow for an optimized process and ensure no products are misplaced or incorrectly shipped.
Engineering Management students first sought to understand what was required of them, how their work would fit into the larger context of Amazon Robotics and Amazon as a whole, and to truly understand the problem they were tasked to solve. During their discovery phase, students began researching localization technologies used in academia and those that were being commercialized by companies. The team interviewed Ph.D. candidates, professors, and corporate representatives as well as stakeholders in Amazon’s marketplace. After a visit to an Amazon Fulfillment Center in New Jersey, students reviewed their data and found the best technologies to serve the purpose of centimeter-level localization.
