Supply Chain Management & Logistics

The Ohio State University hosts a comprehensive program in Supply Chain Management and Logistics. The Department of Integrated Systems Engineering has both undergraduate and graduate concentrations in this area. We conduct both theoretical and applied research. This dual approach enables our researchers to understand, analyze, and solve real-world problems effectively.  

Scope

Supply Chain Management and Logistics at OSU provides an integrative perspective linking all parts of the supply chain. This includes planning, control, operations, production, storage, and distribution. We examine both tactical and strategic problems in supply chain design and management, and study the effects of and remedies for system disruptions.

Approach

To accomplish this, we take an interdisciplinary approach that integrates methodologies such as robust optimization, combinatorial optimization, stochastic programming, large-scale optimization, simulation, and data analytics.

Our contributions to the basic science of Supply Chain Management and Logistics are concerned with understanding the various components of the supply chain, and how these components interact. We have a particular focus on robust optimization and recovery from system failures. Our research is grounded in real world problems that help society operate more efficiently and effectively.

Methodologies

Combinatorial Optimization
Data Analytics
Dynamic Programming
Game theory
Large-scale Optimization
Robust Optimization
Simulation
Stochastic Processes

 

 

 

Applications

Inventory
Lean Production
Materials Requirement Planning
Scheduling
Sustainability and Resilience
Transportation
Warehousing
 

 

Faculty


Concentration Faculty:

Antonio J. Conejo   |   Marc Posner


Stochastic Modeling:

Güzin Bayraksan   |   Parinaz Naghizadeh   |   Cathy Xia


Data Analysis and Statistics:

Theodore Allen


Operations Management: 

Nicholas G. Hall (Decision Sciences)