ODT offers integrated programs in the broad areas of supply chain and operations, business analytics, and information systems, all within an atmosphere that blends academic rigor with camaraderie and support. Together, the three areas of study in ODT combine and complement one another to increase efficiencies, improve processes, and deliver goods and services that affect everyone’s daily lives. The areas of study include:
Faculty
Name & contact
Professional interests
Frank E. Akaiwa
Senior Lecturer
fakaiwa@iu.edu
HH 4100
Bloomington
Business Process Management, Enterprise Resource Planning (ERP), Enterprise Applications, XML Tools and Techniques, Database Management and Spreadsheet Analysis Tools and Techniques, Emerging Technologies
Syd H. Alavi
Clinical Assistant Professor
sydalavi@iu.edu
HH 4100
Operations and Supply Chain Management; AI applications in: Operations Management, Process Design, Design Thinking, and Business Analytics
S. Chris Albright
Professor Emeritus
HH 4100
Spreadsheet Modeling for Optimization, Statistical Analysis and Simulation, Developing Excel Add-ins for Statistics, Statistics for Research, Stochastic Models in Management Science, Quantitative Methods for MBA Core, Web Page Development and Database Access with .NET, Data Mining, VBA for Excel
Joonho Bae
Acting Assistant Professor
baejoon@iu.edu
HH 4100
Sustainable operations, energy markets, battery storage systems, operations management
Hillol Bala
Professor
hbala@iu.edu
HH 4100
Bloomington
Digitalization in organizations and society, including healthcare contexts; IT-enabled organizational change; IT use, adaptation, and impacts; enterprise systems implementation
George Ball
Associate Professor
gpball@iu.edu
HH 4100
Bloomington
Product recall causes, effects and the recall decision-making process. Food and Drug Administration (FDA) regulatory policy, pharmaceutical, medical device, and automotive supply chain quality
Doug Blocher
Professor
dblocher@iu.edu
HH 4100
Bloomington
Customer Order Scheduling, Changeover Scheduling, Supply Chain Management, Lead Time/Cycle Time Reduction
By visualizing and analyzing large data sets, the S326 course I developed introduces useful tools to leverage network resources and social features and offers hands-on practices to explore economic relationships embedded in social media data.
Lucy Yan, Professor