Industry Experience

Full Time Jobs

• Strategies for Coping with Supply Chain Disruptions for  IBM Integrated Supply Chain (2005 - 2006)
  • In this research, we develop an analytical model for a multi-location firm that faces a disruption risk that changes over time and that has information about the current risk level.   In particular, we develop a model for a multi-location inventory system in which the firm periodically determines its “threat level,” i.e., its estimate of the supplier’s probability of failure, which may be different at different locations. The firm can then react by increasing or decreasing inventory levels or by repositioning inventory among stocking locations.  Our model will serve both as a decision-support tool and as a vehicle for developing insights about the nature of supply uncertainty and strategies for coping with them.

• Managing Capacity and Inventory in the High-Tech Manufacturing Industry for Agere Systems (2005 - 2006)
  • The objective of this project is to develop a model and efficient solution techniques for problems that the semiconductor manufacturing industry encounters in managing production, capacity and inventory. The high-tech industry is characterized by a high degree of demand uncertainty, short product/technology lifecycles, expensive investment requirements, multi-stage production processes, and yield uncertainty. Therefore, strategic decisions such as the placement of inventory buffers and their size, how much internal capacity to have and how to change it over time, and the setting of production rates and outsourcing quantities at each stage have quite an impact on the success of companies in achieving their business goals.  In our project, we model this system mathematically and construct algorithms with strong theoretical foundations to provide the answers to the critical questions mentioned above. We also implement the solution algorithm in a user-friendly software package for the use of planning personnel.