IE 327: Facility Design & Material Handling

This undergraduate-level course covers the basics of design, analysis, and selection of manufacturing facilities and material-handling equipment. Topics covered include: the basics of design, analysis, and selection of manufacturing facilities and material-handling equipment; approaches to analyzing these systems; computer-aided design; and material-handling systems and equipment. Approaches to analyzing these systems will be introduced, with an emphasis on material flow control and storage, economic justification models, performance evaluation, and alternative selection.

IE 504: Facility Design

This graduate-level course teaches the analytical tools necessary to effectively tackle the problem of designing the layout and location of facilities. We use both non-quantitative and quantitative, and computer-based approaches. We study location problems, i.e., analytical methods to determine optimal facility location, locations of machines/ workstations/work areas in a manufacturing facility. We study specialized facility design applications, such as, service-oriented facility layouts, warehouse storage policies, and post-disaster facility planning. We also explore and discuss the most recent facility management technological trends, i.e., WMS, RFID, Autonomous vehicles (UAVs, UGVs), and IoT.

IE 670: Special Topics in Operations Research - Disaster Response Logistics

This graduate-level course provides a comprehensive understanding of the key principles, data, and models essential for effective logistics operations in the aftermath of natural or man-made disasters. This course tackles disaster situations under infrastructure disruptions, severe uncertainty, and time pressure. Spanning the disaster lifecycle—mitigation, preparedness, response, and recovery—it integrates social and behavioral insights with quantitative methods to turn humanitarian objectives into actionable logistics plans. Emphasis is placed on the data uncertainty, economic well-being, equity, and coordination across key stakeholders (e.g., governments, NGOs, UN clusters, private firms, and local communities). The course will discuss key case studies, design fieldwork surveys, and explore disaster response logistics models that consider needs assessment, prepositioning, routing, medical and shelter logistics, and last‑mile delivery in disrupted networks.

Supply Chain Management

Production and Operations Management

Operations Research

Modelling and Analysis of Uncertainty

Optimization Algorithms