Mary Ann Anderson

Lecturer, Assoc. Director SCMC at McCombs School of Business

Schools

  • McCombs School of Business

Links

Biography

McCombs School of Business

PROFESSIONAL EXPERIENCE

Director – Supply Chain Management Center of Excellence 2014 – Present

  • Responsible for the internal operations of the center
  • Primary interface with the students, faculty and staff involved in the Supply Chain Management and Science and Technology undergraduate majors.
  • Support the growth of the center through interactions with sponsor companies and the recruiting of additional sponsors. Principal Consultant – Computer Aided Business Strategies Group 1997 – Present
  • Improved clients’ design, service, and manufacturing processes focusing on reducing lead time and cost while improving throughput and quality. Techniques employed included, among others, supply chain optimization and six-sigma process improvement methodologies.
  • Created robust strategic plans employing group facilitation, scenario planning, war-gaming, and large scale, high-level computer simulation techniques. Lecturer – University of Texas at Austin 2000 – Present
  • Taught introductory operations management course to upper-division BBA students. Content included process analysis, inventory theory, supply chain management, and six-sigma process improvement.
  • Taught elective supply chain management classes to upper-division BBA students. Course contents included advanced inventory, logistics, supply chain management strategy and project management.
  • Lead MBA and BBA Operations Practicum classes Research Assistant – Massachusetts Institute of Technology 1995-1998
  • Researcher on the Fast & Flexible Manufacturing Project (supported by the U.S. Air Force) that focused on creating improved design and manufacturing processes that could produce low volumes of aircraft with rapidly changing technical requirements. Research conducted revealed that all benefits of production flexibility could be achieved with only 10% fully flexible manufacturing processes, thus drastically reducing required capital equipment expense.

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