Michael Ketzenberg has extensive experience in supply chain management, business process management, operations, and data analytics, with particular emphasis in the areas of inventory management, value of information, and coordination. His work often involves data mining and complex analysis of large-scale datasets related to process analysis and improvement.
Dr. Ketzenberg has consulted on projects in industries including retail, grocery, consumer electronics, education, and telecommunications. He is also often engaged to present seminars and customized executive education programs on a variety of topics related to process analysis, project management, operations, and supply chain management.
Dr. Ketzenberg currently teaches a variety of courses to undergraduates, masters, and Ph.D. students at Texas A&M University, where he is a tenured professor in the Mays Business School.
University of North Carolina, Chapel Hill
Carnegia Mellon University
Texas A&M University
2011 - present
2007 - 2011
Colorado State University
2001 - 2007
Law and Economics Consulting Group
1994 - 1996, 2000
Endowed Professor of the Center for Executive Education
Mays Research Fellow
2009 - 2014
- Services and Operations Management: Using Sales Analytics to Reform Product Returns and Store Operations
A national jewelry retailer was experiencing problems with product returns. Although it did not have an industry benchmark, the retailer felt improved profitability could be gained via insights from the product return and associated sales transaction data.
A national grocer chain wanted to optimize its shelf space allocation for an entire product category for better profitability.
Manufacturing in a high-volume batch-production facility creates operational challenges in sourcing, production, and inventory management. The company wanted to solve for these operational problems via predictive and systematic decision models.
Production and Operations Management Society
2000 - present
Institute for Operations Research and Management Science
1997 - present