My research focuses on quantitative modeling approaches that help business or nonprofit institutions make efficient operational decisions. My research addresses decisions that are made: 1) on either a single independent operation or multiple integrated operations, and 2) by either a single party or multiple parties, most likely different supply chain members. I am specifically interested in the allocation of resources over time and/or among different parties, which often involve scheduling, i.e., the allocation of resources over time to optimize certain objectives, capacity allocation, i.e., the allocation of production capacity from supplier to retailers in a supply chain setting, and pricing, i.e., the determination of selling price of certain products. When multiple parties are involved, decisions can be made either cooperatively or non-cooperatively. The methodologies used in my work include game theory, real analysis, optimization, approximation, simulation, and statistics.