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Ph.D. Research Projects

Here is a list of the current Ph.D. Research projects underway in Group 3:

Models to set service levels for components in an assemble-to-order environment
Hari Abhyankar To create a computationally efficient procedure that allows the user to determine optimal service levels for purchased components in the presence of a budget constraint on the average on hand inventory.
Teradyne
Steve Graves


Inventory management of components in assembly systems
Jeremie Gallien The goal of this project is to develop new tools for analyzing the inventory management of assembly systems with long stochastic leadtimes and a large number of components. The key starting point of this work is to combine Extreme Value theory with Queueing Networks theory.
HP
Larry Wein


Data for Global Supply Chain Models
Martin Haugh The goals of the project are to determine the sources of the data required for global supply chain models. Most of the sources and issues have been determined though further work remains to be done in the area of data standards and format.
 
Don Rosenfield


Cost Analysis and Modeling of Global Logistics and Manufacturing System
Te-San Liao Analyzing cost structure of global logistics system, developing mathematical model for total logistics and manufacturing cost, trading-off extra capacity and flexibility to handle these uncertainties in global environment and determining the best operation strategy under different situations.
 
Don Rosenfield


An Optimization Model for Diffusion in Semiconductor
Hemant Taneja to develop an optimization model for diffusion processes in semiconductor fabs. This model determines optimal allocation of lots to maximize utlization of diffusion furnaces based on priority queues and processing times of the lots.
Analog Devices
Steve Graves


Multi-Model Production Line Design
Brian Tomlin To develop algorithms to aid in the design of multi-model production lines, especially those in which there is a significant cost to inter stage buffer spaces.
GM
Steve Graves


Strategic Supply Chain Inventory Placement
Sean Willems The goal of the project is to develop an optimization model that determines where to place strategic safety stock across a supply chain that is subject to demand or forecast uncertainty. We are now in the process of applying the model to other companies, and we would be interested in hearing from anyone who thinks they might want to become involved in the project.
Kodak
Steve Graves

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