Andrew is an Optimization and Analytics specialist at Ford Motor Company. He works to build a high performing software delivery team that focuses on identifying, modeling and delivering analytic solutions that unlock business value in a global automotive supply chain. Andrew earned his Ph.D. from the Grado department of Industrial and Systems Engineering at Virginia Tech. His dissertation research involved integrated production planning and scheduling for complex job shops. During his time in the supply chain division at Solutia he applied operations research and math modeling to develop a global safety stock strategy and improve inventory pegging. Andrew has worked with Meridium Inc. to validate their software's reliability suite and performed a survey on best practices in maintenance and reliability. Andrew has published work on condition based maintenance planning and the use of revenue sharing contracts in supply chains. His research interest include supply chain, optimization, operations research, analytics, decision making, reliability. Specialties: Supply Chain, Operations Research, Analytics, Decision Making, Reliability, Agile Software Delivery, Continuous Improvement

Optimization and Analytics @ Andrew is an Optimization Specialist at Ford Motor Company. He works closely with business partners, software developers and architects to formulate and deliver analytic solutions. Projects focus on optimization models and analytic solutions to support a Global Order to Delivery system. Technical Projects: + Detailed vehicle ordering analytics and recommendations for dealers + Long term part forecasting to support global capacity planning + Plant assignment optimization to improve plant fill, dealer satisfaction while reducing transportation cost for multi-sourced vehicles + Vehicle line sequencing to improve throughput and station balancing Team Building: In addition to problem identification and modeling from a technical aspect, Andrew seeks to grow and develop a high quality, globally distributed team, dedicated to delivering scalable analytic and optimization solutions for a Global Order to Delivery system. From August 2013 to Present (2 years 5 months) Graduate Research Assistant @ Improving efficiency in a manufacturing supply chain through a project sponsored by Solutia Inc. that involves + Collaborating with Solutia employees to understand current challenges and identify areas of improvement through OR modeling. + Developing integrated optimization algorithms to improve the scheduling and process planning in a highly complex, multi-echelon job shop environment at Solutia. + Collaborating with all levels of Solutia’s organization – Schedulers, Logistic Engineers, Managers to ensure all objectives, constraints and capabilities are understood documented and agreed upon. + Maintaining frequent communication with Solutia at all levels – steering and operational teams- to ensure time lines and expectations are met for implementation. From August 2011 to August 2013 (2 years 1 month) Supply Chain Intern @ Introduced the use of OR techniques to day-to-day operations of the plant. This time was also used to identify opportunities for funded research collaboration between Virginia Tech and Solutia Inc. + Developed a finished product safety stock strategy for the global performance films supply chain. + Applied simulation modeling to analyze product flow through job shop environment From June 2011 to August 2011 (3 months) Research Intern @ Applied analytic skills and knowledge to help both the research and marketing departments at Meridium Inc. + Conducted black box validation of statistical equations and processes used in Meridium's Reliability Analytics software. Specifically those used for data analysis and parameter fitting of failure data. + Conducted a survey of over 50 different asset intensive companies to understand best practices in asset management and reliability. The results of the survey have been presented in a number of industry and academic conferences worldwide. From January 2008 to August 2011 (3 years 8 months) Graduate Assistant @ Three main areas of research done during this time include Condition Based Maintenance - Research involves how to use multiple streams of condition monitoring data to develop an effective and efficient measure for asset risk that can be used to trigger condition based maintenance. Paper published in Reliability and Maintainability Symposium 2012 Conference Proceedings. Awarded: Best Student Paper 2012 RAMS Conference Large Medical Dataset Analysis - Large medical data sets such as HCUP SID (State Inpatient Data) for the state of New York were analyzed to identify abnormal CT scan usage rates in counties across the state of New York. Results of this research have been accepted July 2012 and await publication. Multiscale Decision Theory - Research involved how revenue sharing incentives can be lead to chain wide cooperation in a multi-agent hierarchy. This work has been applied to illustrative problems in the fields of service science, and supply chain. Awarded: INFORMS Service Science 2009 Best Paper Competition 3rd Place. From August 2008 to July 2011 (3 years) Engineering Intern @ From May 2006 to August 2006 (4 months) Engineering Intern @ From May 2005 to December 2005 (8 months)

Doctor of Philosophy (PhD), Operations Research @ Virginia Polytechnic Institute and State University From 2008 to 2013 Master of Science (M.S.), Industrial Engineering @ Virginia Polytechnic Institute and State University From 2008 to 2010 B.S., Industrial and Systems Engineering @ Virginia Polytechnic Institute and State University From 2004 to 2008